NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It s a unique legacy of innovation that s fueled by great technology and amazing people. Today, we re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what s never been done before takes vision, innovation, and the world s best talent. As an NVIDIAN, you ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Are you ready to be a part of a team that advances computer graphics and AI technologies? At NVIDIA, we bring to bear our groundbreaking GPUs and CUDA language. As an Indirect Buyer in Pune, Maharashtra, India, you can have a chance to create a significant impact, collaborating with some of the most creative and brilliant minds in the tech industry. Join our dynamic, technology-focused company to help define the future of computing and AI. What youll be doing: Complete day-to-day procure-to-pay transactions for indirect/non-inventory purchases by converting purchase requests into standard POs. Negotiate better pricing and terms with suppliers to ensure efficient procurement. Collaborate closely with internal customers to understand their purchasing needs and timelines, ensuring seamless operations. Ensure a flawless supply chain by tracking deliveries, processing returns, and expediting orders as necessary. Deliver outstanding cost-saving results while minimizing commercial risks in supply management. Select reliable sources, request bids, evaluate quotations, and negotiate contracts to successfully implement procurement strategies. What we need to see: Bachelors degree or master s degree in business administration, or equivalent experience. 2-3 years of relevant procurement experience in a high-paced environment. Proven self-starter with excellent customer service skills and a strong focus on teamwork and collaboration. Very diligent with a proven track record in negotiations. Outstanding written and verbal communication skills, including proficiency in German and intermediate English. Experience with SAP, DocuSign, Coupa, or other procurement tools is highly preferred. An ambitious individual with a solid grasp of technology and a passion for getting results. Nvidia is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employee, we do not discriminate including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status and any other characteristic protected by law

NVIDIA is looking for a highly motivated Senior Silicon Engineer to join our dynamic and fast-paced Applied Power Arch team! With competitive salaries, generous benefits package and an outstanding culture, we are widely considered to be one of the technology world s most desirable employers. The Applied Power Architecture Team architects and delivers innovative power features for productizing NVIDIAs chips into consumer, professional, server, mobile, and automotive markets. The team also is responsible for building power estimation tools and architecture driven models. As part of the team, we are responsible for silicon power characterization, correlation to arch & design expectations, development and silicon calibration of power models and building infrastructure for power measurements. Dealing with challenges of the cutting edge process node technologies is also part of the work. We are looking for one who has passion towards electronics & hardware in general. The person should have sufficient orientation towards system level interactions of hardware and software. What youll be doing: Work with Arch, Design & validation teams to perform power bring up, characterize power saving & power management features Perform correlation of silicon KPIs with pre-si expectations. Work with HW and SW teams to optimize silicon power and perf/watt Create test plans and design experiments to accomplish goals identified for various studies Collect and analyze silicon power data to enable future chips power estimation models, design experiments to finalize modelling methods What we need to see: B. Tech or M. Tech in Electronics Engineering stream. 2+ years of experience in related field Strong understanding of aspects related to silicon power and performance, technology node impacts, Hardware and Software interactions at system level. Hands-on experience with silicon bring up, validation and productization Good knowledge in board and system design considerations, Power supply design. Very good problem solving and hardware debugging skills. Very good data analysis and logical reasoning skills. Strong familiarity with HW lab environment and understanding of various lab equipment. Experience in working with windows. Linux exposure is highly preferred. An understanding of PC architecture and various commonly used buses. Working experience with scripting languages like perl and/or python is a plus point. With competitive salaries, generous benefits package and an outstanding culture, we are widely considered to be one of the technology world s most desirable employers. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. #LI-Hybrid

This role is based out of NVIDIA s Global Resource Center (GRC) in Bangalore, India as part of the Finance team and reports directly to the GRC Manager. You will be primarily responsible to support global AP operations managed from GRC. This involves leading AP deliverables, driving process efficiencies by automation, ensuring compliance with SLAs/critical metrics and partnering with key collaborators. This position will be required to have demonstrated in-depth knowledge of a modern accounts payable function - including finding opportunities to implement standard methodologies and ensure continuous improvement of the AP function at the Company. This role requires maintaining confidentiality and treat sensitive information with discretion, act as a role model for ethical behavior, and be an advocate of and follow Company policies. It requires excellent people, communication and writing skills; be able to collaborate across various business units, regions and be self-motivated. What youll be doing: Processes Lead execution of AP activities and process standardization in areas related to: Ensure timely and accurate processing and payment of invoices in accordance with company policies. Vendor open items management, ageing analysis and account recons Coordinating with Procurement team for PO queries and to get resolution on vendor disputes. Collaborate with requestors, office managers and operation. Collect information required for AP process and work closely with them to clear GR/IR account. Ensure timely accounting of all invoices for goods received. System and tools Continuous improvement in design of Open Text and VIM system to increase touchless accounting. Drive automation of payment and its accounting. Support IT and AP team to identify modern AP solutions like vendor portals, EDI and Batch-processing. Compliance Ensure all AP processes are SOX compliant on design and implementation and ensure all required documentation and SOPs. Support implementation of standard solution for tax compliances related to AP function. What we need to see: Strong and in-depth understanding of end-to-end Accounts payable processes and procure to pay landscape. Robust knowledge of SAP ECC and S4, VIM and Coupa systems. Advanced excel and Presentation skill with experience of BI tools. B. Com/MBA Finance or similar accounting degree with overall experience of 7+ years within a GRC or Shared service and excellent knowledge of AP processes with proven experience of leading the process. Hardworking teammate with global approach, equally successful at working independently or in large groups. Ways To Stand Out from The Crowd: Experience with vendor portal and account reconciliation process rollouts. Knowledge of implementing BI based reporting tools. Strong analytical, reporting and problem-solving skills with ability to deliver under high pressure and managing complexities. NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If youre creative and autonomous, we want to hear from you!

NVIDIA is seeking a highly motivated Hardware Engineer to join our multifaceted and fast-paced Silicon Solutions Group! Artificial intelligence is changing the world significantly starting with the technologies used in our day to day lives, cars we drive, autonomous machines in agriculture farms & factories, smart cities and science & technology development activities. GPUs are providing spectacular speed ups to scientific and medical research, enabling the advancement of humanity like never before. There has never been a more exciting time to work in NVIDIA. As part of the Silicon Solutions Team, we architect and deliver groundbreaking solutions for productizing NVIDIAs chips into consumer, professional, server, embedded, mobile, and automotive markets. Silicon characterization, correlation to arch & design expectations, finalize product specifications, develop productization techniques and infrastructure around it is our day to day work. Dealing with challenges of the brand-new process node technologies is also included in the work profile. What you will be doing: As a Silicon Power engineer for NVIDIAs family of chips and products, you will analyze pre-production silicon in pioneering process technologies for performance, power, yield, and quality to define the world s fastest products. Perform test case execution, debug silicon issues related to correlation and functionality, generate high quality results and provide design feedback. Find creative solutions to sophisticated silicon and system level problems and be on the frontline to lead show-stopper bugs, in order to enable product shipment. Work alongside system architects, chip and board designers, software/firmware engineers, HW/SW applications engineers, process/reliability specialists, ATE engineers, product managers, sales, and operations in a dynamic & high-energy work environment to bring industry-defining products to market. Collaborate with cross-functional teams to craft essential next generation product features that are important for performance, power optimization, and power management. Collaborate to craft tools for post-silicon work, build post-silicon methodologies to characterize silicon power, correlate silicon behavior with simulation What we need to see: BS with 5 years or MS with 3+ years of proven track record in the area of silicon characterization and productization Excellent problem solving, collaborative, and interpersonal skills. Experience working with offshore teams preferred. Hands-on experience with silicon bring-up, frequency and power characterization, Tester to System correlation, lab tools (oscilloscopes, multimeters, DAQ). Deep understanding of product binning methods, optimization techniques, methods, trade-off analysis and tools for data analysis and statistics. Exposure to critical path analysis, power analysis, process technologies, transistor/device physics, silicon reliability and aging mechanisms. Background with power supply and substrate noise analysis and mitigation. Exposure to digital design, circuit analysis, computer architecture, BIOS, drivers, and software applications. #LI-Hybrid

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life s work , to amplify human creativity and intelligence. As an NVIDIAN, you ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! We are looking for a Senior Digital/Memory Mask Design Engineer - someone who is excited to join a growing group of diverse individuals responsible for handling challenging high-speed digital memory circuit designs. What youll be doing: Implement IC layout of innovative, high-performance, high-speed CMOS integrated circuits in foundry CMOS process nodes in 3nm, 5nm, 7nm and lower nodes following industry standard methodologies. Deliver layouts for Full Custom Memory group specializing in digital Memory circuits. IP layout will comprise of significant digital components. Adopting and putting in place the best layout practices/methodology for composing digital Memory layouts Follow company procedures and practices for IC layout activities. What we need to see: B. E/B Tech. / M Tech in Electronics or equivalent experience with 5+ Years of proven experience in Memory layout in advanced CMOS process. Detailed knowledge of industry standard EDA tools for Cadence. Experience with layout of high-performance memories of various types. Knowledge of Layout basics including the various types of bitcells, Decoder, LIO etc. (matching devices, symmetrical layout, signal shielding) Experience with floor planning, block level routing and macro level assembly. Detailed knowledge of top level verification including the EM/IR quality checks and detailed knowledge of layout dependent effects including LOD, Dummification, fills etc. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status #LI-Hybrid

NVIDIA is seeking a highly motivated Hardware Engineer to join our multifaceted and fast-paced Silicon Solutions Group! Artificial intelligence is changing the world significantly, starting with the technologies used in our day to day lives, cars we drive, autonomous machines in agriculture farms & factories, smart cities and science & technology development activities. GPUs are providing spectacular speed ups to scientific and medical research, enabling the advancement of humanity like never before. There has never been a more exciting time to work in NVIDIA. As part of the Silicon Solutions Team, we architect and deliver groundbreaking solutions for productizing NVIDIAs chips into consumer, professional, server, embedded, mobile, and automotive markets. Silicon characterization, correlation to arch & design expectations, finalize product specifications, develop productization techniques and infrastructure around it is our day to day work. Dealing with challenges of the brand-new process node technologies is also included in the work profile. What you will be doing: Work as a Silicon Low Power engineer for NVIDIAs chips, implementing new features using innovative techniques to improve energy efficiency. Perform test case execution, debug silicon issues related to correlation and functionality, generate high quality results and provide design feedback. Find creative solutions to complex silicon and system level problems and be on the frontline to lead show-stopper bugs, in order to enable product shipment. Work alongside system architects, chip and board designers, software/firmware engineers, HW/SW applications engineers, process/reliability specialists, ATE engineers, product managers, sales, and operations in a dynamic & high-energy work environment to bring industry-defining products to market. Collaborate with cross-functional teams to craft essential next generation product features that are important for performance, power optimization, and power management. Collaborate to craft tools for post-silicon work, build post-silicon methodologies to characterize silicon power features, correlate silicon behavior with simulations. What we need to see: BS with 5 years or MS with 3+ years of proven ability in the area of silicon characterization and productization Excellent problem solving, collaborative, and interpersonal skills. Experience working with offshore teams preferred. Hands-on experience with silicon bring-up, power saving mechanisms and power characterization, Tester to System correlation, lab tools (oscilloscopes, multimeters, DAQ). Deep understanding of system level interaction between Hardware-Software-Firmware, and Power optimization techniques, methods, power analysis and tools for data analysis and statistics. Exposure to Windows, Linux based Low Power states and Silicon Power behavior, power analysis, process technologies, transistor/device physics, silicon reliability and aging mechanisms. Background with debugging of HW-SW co-designed Low-power features is highly desirable. Exposure to digital design, circuit analysis, computer architecture, BIOS, drivers, and software applications. #LI-Hybrid

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life s work , to amplify human creativity and intelligence. As an NVIDIAN, you ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! We are seeking an innovative Senior Physical Design & Timing Methodology Engineer to help drive sign-off strategies for the worlds leading GPUs and SoCs. This position is a broad opportunity to optimize performance, yield, and reliability through increasingly comprehensive modeling, insightful analysis, and automation. This work will influence the entire next generation computing landscape through critical contributions across NVIDIAs many product lines ranging from consumer graphics to self-driving cars and the growing domain of artificial intelligence. We have crafted a team of highly motivated people whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. If you are fascinated by the immense scale of precision, craftsmanship, and artistry required to make billions of transistors function on every die at technology nodes as deep as 3 nm, this is an ideal role. What you will be doing: Collaborate with technology leads, circuits and systems teams, VLSI physical design, and timing engineers to define and deploy the most sophisticated strategies of signing off timing in design for world-class silicon performance. Understand corner case timing sign-off risks in the latest 3nm and deeper technology nodes. Develop strategies to mitigate and margin for them. Develop tools and methodologies to improve design performance, predictability, and silicon reliability beyond what industry standard tools can offer. Extensively work with our ASIC Physical Design team to help develop methodologies, flows, and tools across a wide spectrum of domains - STA, constraints, floorplanning, timing and power optimization. Develop world class work flow solutions to aid analysis and improve flow efficiency. What we need to see: Master s Degree in Electrical Engineering, Computer Science, or Computer Engineering or equivalent work experience 4+ years of relevant work experience Deep understanding of backend design process, especially advanced STA. In depth understanding of PT and/or Tempus Expertise in coding -- TCL, Perl, Python. C++ is a plus! Strong communication and interpersonal skills Ways to stand out from the crowd: Expertise in developing advanced STA flows #LI-Hybrid

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life s work , to amplify human creativity and intelligence. As an NVIDIAN, you ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! We are looking for an Layout Design Engineer - someone who is excited to join a growing group of diverse individuals responsible for handling challenging high-speed digital and analog circuit designs. What youll be doing: Execute IC layout of cutting edge, high-performance, high-speed CMOS integrated circuits in foundry CMOS process nodes in 3nm, 5nm, 7nm and lower nodes following industry best practices. Deliver layouts for Circuit Solutions Group specializing in digital cum analog IPs. IP layout will comprise of significant digital components and some analog components. Adopting and putting in place best layout practices/methodology for composing Analog and digital layouts Follow company procedures and practices for IC layout activities. What we need to see: 2+ years of experience in high performance analog layout in advanced CMOS process. BE/M-Tech in Electrical & Electronics or equivalent experience. Thorough knowledge of industry standard EDA tools for Cadence. Experience with layout of high-performance analog blocks such as Current mirrors, Sense Amps, bandgaps etc. is required. Knowledge in analog design and layout guidelines, high speed IO, (matching devices, symmetrical layout, signal shielding, other analog specific guidelines) Experience with floor planning, block level routing and macro level assembly. Knowledge of high-performance analog layout techniques such as common centroid layout, matching, symmetrical layout, signal shielding, use of dummy devices, thermal aware layout with consideration for electro migration and other analog specific guidelines. Demonstrated experience with analog layout for silicon chips in mass production. Background with sub-micron design in foundry CMOS nodes 7nm finfet and below is preferred. Experience working in distributed design team is a plus. Requires self-starter with the ability to define and adhere to a schedule. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Hybrid

NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life s work , to amplify human creativity and intelligence. As an NVIDIAN, you ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! We are looking for an Layout Design Engineer - someone who is excited to join a growing group of diverse individuals responsible for handling challenging high-speed digital and analog circuit designs. What youll be doing: Execute IC layout of cutting edge, high-performance, high-speed CMOS integrated circuits in foundry CMOS process nodes in 3nm, 5nm, 7nm and lower nodes following industry best practices. Deliver layouts for Circuit Solutions Group specializing in digital cum analog IPs. IP layout will comprise of significant digital components and some analog components. Adopting and putting in place best layout practices/methodology for composing Analog and digital layouts Follow company procedures and practices for IC layout activities. What we need to see: 2+ years of experience in high performance analog layout in advanced CMOS process. BE/M-Tech in Electrical & Electronics or equivalent experience. Thorough knowledge of industry standard EDA tools for Cadence. Experience with layout of high-performance analog blocks such as Current mirrors, Sense Amps, bandgaps etc. is required. Knowledge in analog design and layout guidelines, high speed IO, (matching devices, symmetrical layout, signal shielding, other analog specific guidelines) Experience with floor planning, block level routing and macro level assembly. Knowledge of high-performance analog layout techniques such as common centroid layout, matching, symmetrical layout, signal shielding, use of dummy devices, thermal aware layout with consideration for electro migration and other analog specific guidelines. Demonstrated experience with analog layout for silicon chips in mass production. Background with sub-micron design in foundry CMOS nodes 7nm finfet and below is preferred. Experience working in distributed design team is a plus. Requires self-starter with the ability to define and adhere to a schedule. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Hybrid

NVIDIA Network Engineering is looking for a Senior Network Engineer to join our multifaceted and results oriented team. Challenges include project responsibilities with escalated operational issues. If you have abilities in routing, switching and automation foundations, with the ability to define and lead primarily Enterprise Networking projects this job might be for you. What youll be doing: Designs, plans and coordinates the implementation of network technologies in support of defined requirements generated by business and growth demands Validate project requirements, define project scope, develop project schedules and produce detailed designs for assigned projects Produce work breakdown structures that demonstrate understanding of proposed changes and how the change will be implemented with minimal service impact Performs analysis and diagnosis of highly sophisticated networking problems Youll build simulated networks in test labs to resolve highly significant problems and compatibility issues Prepare and maintain up to date documentation detailing configuration of deployed solutions. Generates network configurations and run books. Plans and drives highly complex network upgrade and migration activity including highly automated environments. This can include quarterly maintenance events involving multiple coordinated changes with diverse stakeholders. Provides mentorship and technical leadership for existing network team members & partner teams during outages, downtimes where both technical and business communication skills are vital. appropriate What we need to see: BS or equivalent plus 8+ years of experience in network engineering support environment Experience and expertise in network operations and service optimization in highly available, network infrastructure solutions in a multi-vendor large-scale, multi-site, international environment. Some design experience is also a requirement. WAN circuits and protocols (SR-TE, MPLS, DWDM, DMVPN) Dynamic IP Routing protocols (OSPF, ISIS, EIGRP, eBGP/BGP, PIM Multicast) Diverse skills in client and network operating systems such as Linux, Windows, Cumulus, Cisco IOS, Arista OS, etc. Virtualization & Overlay technologies, both networking (VxLAN, BGP-MP, VRFs) and compute (VMware, Kubernetes, Docker) and their various methods for integration. High level internetworking problem solving in an enterprise and web scale network environments Expertise in collaborating with vendors to run circuit delivery, problem solving and migrations Job seekers should be creative and have good initiative along with good verbal, written, social, and presentation skills CCIE or equivalent certifications are a plus Ways to stand out from the crowd: Take initiative and be resourceful to achieve goals independently as well as work effectively in groups. Flexibility to adjust to changing requirements, schedules and priorities Ability to socialize ideas, make recommendations and bring together team consensus to move ideas forward. Be able to effectively communicate both orally and in writing to technical and non-technical audiences at all levels in the organization; develop procedural documentation; develop and conduct effective presentations; and optimally demonstrate products and solutions Ability to connect new technology initiatives to cost savings and return on investment calculations. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence.

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life s work , to amplify human creativity and intelligence. As an NVIDIAN, you ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! NVIDIA is looking for a best-in-class ASIC STA Engineer to join our outstanding Networking Silicon engineering team, developing the industrys best high-speed communication devices, delivering the highest throughput and lowest latency for todays AI platforms! Come and take a part in designing our groundbreaking large scale and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company. What you will be doing: Be in charge of full chip and/or chiplet level STA convergence from early stages to signoff. Take part in top level floor plan and clock planning. Optimize, together with CAD signoff flows and methodologies. Digital Partitions and analog IPs timing integration, giving feedback to PD/RTL and driving convergence. Work closely with logic design and DFT engineers to define and implement constraints for the various work modes, including their optimization for runtime and efficiency. What we need to see: B. SC. / M. SC. in Electrical Engineering/Computer Engineering. 3-8 years of experience in physical design and STA Proven experience in RTL2GDS and STA design and convergence Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc. ) Hands on STA experience from early stages to signoff using Synopsis Primetime. Deep knowledge in timing concepts required. Great teammate. NVIDIA has some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry! #LI-Hybrid

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life s work , to amplify human creativity and intelligence. As an NVIDIAN, you ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industrys most complex semiconductor chips. This team works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industrys most complex semiconductor chips. What youll be doing: As a member of the DFT team, you will be working on verification of state of art Memory BIST logic alongwith other DFT circuits like JTAG, IO BIST and ATPG. You will be Validating test features with a robust & scalable testplan development at unit-level and SOC/Full Chip level using verification methodologies like UVM and NVIDIA Internal tools. Simulating Pre-Silicon Simulation and Debug of Test functionality using standard Industry tools and sign- off on Test coverage for various products using standard coverage metrics. Would work on automation, flow development & improvement, coverage metrics, test execution, bug identification/fix , and Memory-test productization. Rich exposure and work on powerful Industry-standard tools for Design and verification methodologies. This includes SV, UVM, Perl, Python, and NVIDIA custom tools/flows. Partner closely with our design team to understand our architecture, then collaborating with QA engineers to deliver good test coverage and improve software quality. What we need to see: Btech/BE/BS or Mtech/ME/MS in EE/ECE or equivalent experience Solid Analytical and Problem-Solving skills. Good understanding and Exposure to Logic design, Architecture & Verification Strong Coding skills in industry- standard scripting languages. Exposure to DFT circuits and methodology. 1-4 yrs of experience in Industry-standard verification flows like constrained random testing, UVM, coverage metrics, profiling tools, X prop, etc. will be plus. Outstanding written and oral communication skills with the curiosity to learn. #LI-Hybrid

We are now looking for a Senior Circuit Design Engineer for our team! This is your chance to be a part of an excellent memory design team which needs good circuit designer like you. Team believes in enabling the right talent to achieve world class design that go into ground breaking solutions from NVIDIA! What Youll Be Doing: Full custom circuit design involving memory arrays like multi-port register files, SRAMs, and/or caches, for performance critical IPs like CPUs/GPUs Design cutting-edge SRAM circuits using state-of-the-art technology processes Optimize circuits for performance, area, and power You will have to perform transistor level circuit and logic design, spice verification, schematic entry and coordination with layout team Ability to understand architectural specifications and develop custom SRAM circuits which meet stringent performance, area and power requirements Ability to close design to the specs by running various flows like EM, IR, Noise, static timing analysis Develop state of the art flows for timing, EM/IR or other verification needs Develop variation tolerant circuits in advanced technologies like 7nm and below Improve/develop flows, methodologies and automation to accelerate various design closure, data collection, and analysis, further ensure working silicon What We Need To See: You would need to have sound fundamentals in CMOS devices, basics of VLSI design and really good timing concepts involving dynamic and sequential circuits Prior experience is required with Cadence virtuoso environment, hspice simulations and transistor level design or design-optimization Proficiency in Perl/Python or equivalent scripting language is a plus Prior exposure to some form of memory design (like SRAMs or register files) will be a huge advantage Experience in advanced technology nodes like 7/5 nanometers is a huge plus Good interpersonal skills, should be an excellent teammate BE/M-Tech or equivalent experience in Electrical & Electronics or equivalent 5+ yrs of experience With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking minds in the world working for us and, due to unprecedented growth, our engineering teams are rapidly growing. If youre a creative and aspiring engineer with a real passion for technology, we want to hear from you. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI the next era of computing. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can take on, and that matter to the world. This is our life s work, to amplify human imagination and intelligence. Make the choice, join our diverse team today!

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life s work , to amplify human creativity and intelligence. As an NVIDIAN, you ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! As part of the CAD team our engineers develop and support tools for all of NVIDIAs semiconductor products. In addition, they also develop in-house tools in the area of Design for Test (DFT) and Design for Power (DFP) using C++, Python, and TCL. Below are some of the some of the teams activities. We are a diverse team needing someone who is not afraid of a challenge. If this is you, come join us today. What you will be doing: Be responsible for architecting highly automated and customizable design flows using software engineering with modular design and object oriented techniques. Work closely with our diverse team members on flows to provide DFT, and DFP methodologies for industry-leading chip designs. Support development of tools using C++/Python/TCL. Work cross functionally with DFT Methodology, Implementation and design teams with important DFT and power tools development tasks. What we need to see: 1+ years of relevant work experience. Smart, diligent and motivated to work in our CAD group. BE or BTech or MTech in Computer Science, or Electronics Engineering, or Electrical Engineering, or equivalent experience. Knowledge or experience with DFT, DFP is a plus. Familiar with Verilog and ASIC design principles, including knowledge of logic cells. Software engineering: software design, algorithms, and QA. Strong C++ programming experience. Solid programming and scripting skills in Python or TCL desired. Having strong interpersonal skills will serve you well in this role. NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If youre creative and autonomous, we want to hear from you! #LI-Hybrid

In this role, you will be leading an engineering team designing, developing, and optimizing Nvidia Metropolis Blueprints for smart cities, industrial Artificial Intelligence and healthcare. Ideal candidates will not only have experience leading software engineering teams, but also be motivated to advance the state-of-the-art in Applied AI solutions across verticals. What you will be doing: Hands-on technical lead contributing to architecture, design and development Lead, mentor, and grow our engineering team developing blueprints and Agentic AI solutions in Computer Vision and Be responsible for the quality and performance of our blueprints and the planning and execution of projects. Work closely with peer engineering, technical Program management and Product Management teams to help collect requirements for your products as well as contribute to the development of technology roadmaps. What we need to see: Masters or Bachelors degree in Computer Science, or related engineering field 8+ years of overall experience in Software development 3+ years proven experience recruiting, training and managing software engineering teams. Strong technical foundations and a passion for good software design Hands-on experience with cloud native development and architecture Hands-on experience developing Applied Artificial Intelligence applications Tight-knit collaboration, communication, and documentation habits. Experience with, and motivation to adopt and advance, software development practices such as CI/CD systems and project management tools such as JIRA. Ways to stand out from the crowd: Hands-on experience building accelerated Applied AI applications using generative AI and computer vision AI Good understanding of Machine Learning and Deep Learning technologies and experience using one or more deep learning frameworks Strong background in building and deploying AI services Experience with leading and mentoring teams in multifaceted environments such as concurrent HW and SW development. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most talented people in the world working for us. Do you want to be one of them? If youre creative and self driven, we want to hear from you!

We are looking for Test Developer Engineer to join the Robotics Isaac Product QA team! NVIDIA is revolutionizing the way AI, robots and autonomous machines work together. The team around Project Isaac is building a robotics platform for developing the next generation of intelligent robots. Isaac is binding together high-fidelity visual and physical simulation, a high-quality developing platform, hundreds of optimized algorithms to tackle hard problems in computer vision and artificial intelligence, and a small and powerful computational platform to form the brain of intelligent machines. Our team consists of experts from all over the world and dozens different fields, and together we want to change the way how robots are programmed. This position will be part of a diverse team that tests and maintains the quality of sophisticated software powering intelligent robots. As a member of this core team, you will be working with highly competitive and motivated engineers. Join us at forefront of this ground-breaking industry s first Robotic AI Development Platform with Simulation, Navigation and Manipulation. What youll be doing: Play a key role in building test strategy, well-structured test plans and automated test cases based on high level customer requirement. Actively participate in review and provide feedback on product feature requirements, specifications, and technical design documents. You will be working closely with various teams including project management and software developers, responsible for publishing statistical data reports to all partners Develop and follow successful practices to only have the best and most robust code for applications, test tools & automated tests Developing/validating robotics applications and simulation use cases for robots Use AI tools to optimize test development and automation . What we need to see: B. Tech. or Equivalent degree in CS/CE/IT/ECE/EEE At least 3+ year s hands on testing experience in embedded software stack. Experience with Linux and/or QNX is required. Good knowledge in areas of Robotics perception, navigation, manipulation and simulation Knowledge of robotics simulator engine and ability to develop automated test scenarios using the same You have strong python skills - able to write logical scripts/code from scratch. Development experience using AI development tool for testing Hands on experience of functional safety standards (ISO 26262), particularly in Autonomous systems. Experience to use Configuration Management tools (Git, Perforce) and Agile scrum tools (JIRA, JAMA). Excellent analytical and problem-solving skills and an excellent attention to detail Passionate about debugging failures and root causing the issues. Ways to stand out from the crowd: AI tools usage and testing optimization using the same. Experience using cloud services such as AWS or Azure Strong C++ coding experience. Understand large C++ project code and derive functional/unit test. With competitive salaries and a generous benefits package, we are widely considered to be one of the world s most desirable technology employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If youre a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Are you passionate about inspiring change, building data-driven tools to improve software quality, and ensuring customers have the best experience? If so, we have a phenomenal opportunity for you! NVIDIA is seeking a creative, and hands-on Senior Tools Development engineer with a test-to-failure approach. The ideal candidate will build Python-based tests and tools to accelerate test workflows in 3D simulation software, GPU drivers, cloud computing, and AI. What you ll be doing: As a Senior Tools Development Engineer on our team, you will build comprehensive automated test suites for our simulation platform while creating intelligent tools that enhance our testing capabilities and provide predictive quality analytics. In this role you can expect to: Design and implement automated tests for our REST and gRPC APIs covering API functionality, service deployment, and cluster health across distributed environments Implement reliable test automation strategies for complex visual verification challenges Create test scenarios that simulate real-world user interactions and validate expected outcomes Build innovative tools using Generative AI technologies to accelerate development workflows Collaborate with cross-functional teams to understand product requirements Contribute to continuous integration pipelines for automated testing Analyze test results and provide actionable insights to development teams Write maintainable, reliable, and well-detailed code. Debug issues to identify the root cause. Provide peer code reviews including feedback on performance, scalability, and correctness Optimally estimate and prioritize tasks to create a realistic delivery schedule Work closely with leadership to report progress by generating effective and impactful reports What we need to see: 3 years of relevant test automation and development experience with programming experience in Python. Experience with additional languages such as C++, C#, and JS is a plus. B. Tech. or Equivalent degree in CS/CE/IT/ECE/EEE Hands-on experience with API automation testing, including REST and gRPC protocols Prior experience with deploying containerization services using technologies such as Docker and Kubernetes Prior project experience with building and evaluating applications using Generative AI models Experience in deploying and optimizing DL models in production environments Proven understanding of test automation principles and patterns Strong expertise in Python development and testing frameworks Excellent written and verbal communication skills With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world s most desirable employers. Due to outstanding growth, our elite engineering teams are rapidly growing. If youre creative with a real passion for technology, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

NVIDIA is seeking Senior Silicon Solutions Engineer for system level bringup, debug and validation of GPU and SoC. The sophisticated nature of various chip features poses many exciting debugging situations. Someone with solid understanding and innovative thinking is required for on time release of the products. As part of the Silicon Solutions Team, we are responsible for productizing NVIDIAs chips into groundbreaking consumer, professional, server, mobile, and automotive solutions. What you will be doing: Silicon and board bring up, validation, and debug from prototype to production. Responsible for the GPU and SoC system qualification including feature checks, system stress at PVT conditions, testing of large number of systems and debug of issues affecting any unit of the chip or software. Debug complex ASIC and board issues related to logic design, signal integrity and power delivery in a high energy work environment, with a team that is the best in the business! Understand architecture of next generation chips, develop test plans, scripts and implement. Understand various HW features related to power, performance and safety. Drive the debug of Silicon, Board or Software issues involving many multi-functional teams. Develop new methodologies to improve the silicon validation process and take it to the next level! What we need to see: BTech/BE or MTech/ME degree in Electronics with 5+ years of work experience. Good knowledge in board and system design considerations, experience in silicon design/bring up. Hardware design experience related to high speed subsystem design, High-speed IO protocols, on-chip interconnect would be much appreciated. An understanding of PC architecture and various commonly used buses. Familiarity with scripting languages like perl and/or python. Very good problem solving and debugging skills. Very good data analysis and logical reasoning skills. Must be a standout colleague and ready to work with global teams from diverse cultural backgrounds. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. #LI-Hybrid

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life s work , to amplify human creativity and intelligence. As an NVIDIAN, you ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! We are now looking for a Circuit Design Engineer! What youll be doing: Be part of a hardworking, talented, cross-functional Global Circuits Team, designing and delivering groundbreaking circuit IPs involving SRAM arrays, Analog and/or Digital circuits. Work on architecting innovative circuit solutions and methodologies which monitor, measure on-chip silicon performance parameters and close the gap to pre-silicon estimations for logic and RAMs Participate in discussion with various teams to understand challenges related to Silicon correlation ( Vmin, Vmax, VF, Yield, spice modelling, silicon debug) and propose innovative solutions. Understanding of existing circuit methodologies for logic/RAMs and suggest improvements. This role includes interacting with several global teams across geographies, understanding various methodologies and improving silicon correlation of logic and RAM circuits. Be a mentor/technical lead for junior team members. What we need to see: Have sound fundamentals of CMOS devices, RC circuits, transistor level circuit design, timing concepts involving dynamic and sequential circuits. Hands-on experience in SRAM/Custom circuit design involving SPICE simulations, variation/selftime/bitcell/SA analysis. Knowledge of STA , physical design and Silicon debug is a huge plus. Ability to close design to the specs by running and developing various flows like EM, IR, Noise, and static timing analysis (STA) Proficient in Perl/Python and handing of large data sets is a huge advantage. Good interpersonal skills ; should be an excellent teammate. BE/M-Tech in Electrical & Electronics or equivalent experience. 3-6 years of experience With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? #LI-Hybrid

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life s work , to amplify human creativity and intelligence. As an NVIDIAN, you ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! As a Formal Verification Engineer at NVIDIA, you will be responsible for formally verifying complex designs. NVIDIA has developed a strong functional formal verification methodology that not only enables hardware design and verification engineers to use lightweight FV tools and techniques successfully but also allows FV engineers to use advanced property proving techniques on complex and/or critical RTL logic. The job involves very close interaction with the design team, architecture team, with other validation teams, and with NVIDIAs internal FV R&D group that develops functional verification tools using formal verification technology. What youll be doing: You will help decide on the best applications of formal verification techniques to various parts of the design. Review functional and micro-architectural specifications, define the scope for formal verification, and create high-quality formal verification testplans to sign-off on the corresponding design implementation. Build formal verification testbenches, code assertions and constraints, and apply abstraction techniques to converge the targeted properties or to achieve reasonable proof-depth. Apply formal coverage techniques for analyzing over-constraints and for measuring functional coverage. Design and develop functional verification flows that involve both vendor and internally developed formal tools. What we need to see: B. Tech. / M. Tech. with 5+ years of relevant experience. Good understanding of hardware micro-architecture and design. Conversant with formal verification technologies, including complexity reduction techniques. Formal property verification experience on multiple complex units. Proficiency in creating high quality testplans, building formal testbenches, and root-causing counter-examples. Ways to stand out from the crowd: Good debugging and problem solving skills Scripting knowledge (Python/Perl/shell) Good interpersonal and communication skills and dream to work as a great team member With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. #LI-Hybrid

NVIDIA is seeking a dynamic and experienced Generative AI Solution Architect with specialized expertise in training Large Language Models (LLMs) and implementing workflows based on Retrieval-Augmented Generation (RAG). As a key member of our AI Solutions team, you will play a pivotal role in architecting and delivering cutting-edge solutions that leverage the power of NVIDIAs generative AI technologies. This position requires a deep understanding of language models, particularly LLMs, and a strong proficiency in designing and implementing RAG-based workflows. What you will be doing Architect end-to-end generative AI solutions with a focus on LLMs and RAG workflows. Collaborate closely with customers to understand their language-related business challenges and design tailored solutions. Collaborate with sales and business development teams to support pre-sales activities, including technical presentations and demonstrations of LLM and RAG capabilities. Work closely with NVIDIA engineering teams to provide feedback and contribute to the evolution of generative AI technologies. Engage directly with customers to understand their language-related requirements and challenges. Lead workshops and design sessions to define and refine generative AI solutions focused on LLMs and RAG workflows and l ead the training and optimization of Large Language Models using NVIDIA s hardware and software platforms. Implement strategies for efficient and effective training of LLMs to achieve optimal performance. Design and implement RAG-based workflows to enhance content generation and information retrieval. Work closely with customers to integrate RAG workflows into their applications and systems and s tay abreast of the latest developments in language models and generative AI technologies. Provide technical leadership and guidance on best practices for training LLMs and implementing RAG-based solutions. What we need to see Masters or Ph. D. in Computer Science, Artificial Intelligence, or equivalent experience 5+ years of hands-on experience in a technical role, specifically focusing on generative AI, with a strong emphasis on training Large Language Models (LLMs). Proven track record of successfully deploying and optimizing LLM models for inference in production environments. In-depth understanding of state-of-the-art language models, including but not limited to GPT-3, BERT, or similar architectures. Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. Proficiency in model deployment and optimization techniques for efficient inference on various hardware platforms, with a focus on GPUs. Strong knowledge of GPU cluster architecture and the ability to leverage parallel processing for accelerated model training and inference. Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences. Ways to stand out from the crowd Experience in deploying LLM models in cloud environments (e. g. , AWS, Azure, GCP) and on-premises infrastructure. Proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. Familiarity with containerization technologies (e. g. , Docker) and orchestration tools (e. g. , Kubernetes) for scalable and efficient model deployment. Deep understanding of GPU cluster architecture, parallel computing, and distributed computing concepts. Hands-on experience with NVIDIA GPU technologies, and GPU cluster management and ability to design and implement scalable and efficient workflows for LLM training and inference on GPU clusters With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If youre a creative and autonomous engineer with a real passion for technology, we want to hear from you!

We are looking to hire a Senior Systems Software Engineer. Do you love to provide innovative solutions and enjoy working on complex problems? NVIDIA is looking for phenomenal system software engineers like you to join us in our journey of building state of the art GPUs. To work within the Graphics Processing Unit (GPU) Software team to tackle complex System Software problems across NVIDIA GeForce/NVIDIA RTX (professional graphics) products on Linux platform. Work involves developing and maintaining software for the GPU Resource Manager Kernel driver. This kernel driver plays a key role in providing outstanding visual computing experience to millions of Workstations (Designers/Architects/Visual Effects), PCs and Notebooks (Gamers). What you ll be doing: Improving existing software by debugging, analyzing and providing solution to complex issues within areas like Display technologies, Power management etc. Work on designing, developing, unit testing, documenting and maintaining features for the kernel mode drivers. You will get an opportunity to work side by side to collaborate with forward-thinking and motivated engineers around the world, as an equal member of a multi-site project team. Tackle variety of problems that directly impact NVIDIA s End Users and partner OEMs. What we need to see: Your strong software engineering skills combined with a dedication to tackle hard problems are a requirement. 5+ years of hands-on experience in writing and debugging kernel mode drivers on X86/AMD64 platforms. Excellent programming skills, Proficiency in C / C++ language, libraries and toolchains. Detailed knowledge of Linux kernel internals and low-level system programming. Good written and verbal communication, along-with strong collaborative and networking skills. Experience in working on unreleased hardware platforms. Bachelors or Masters degree (or equivalent experience) in Computer Engineering, Computer Science or related field. Ways to stand out from the crowd: Experience with device driver development for ARM SOC platforms. Background with embedded system SW concepts, e. g: RTOS, overlay programming models. Contributions to upstream Passionate about what you do. NVIDIA is widely considered to be one of world s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If youre creative and passionate about new technology then we would like to hear from you.

We are currently seeking a Senior Field Applications Engineer to join our SA Team. At NVIDIA, we are leading the AI computing revolution, creating innovative deep learning solutions that are transforming industries globally. As a member of our team, you will play a vital role in introducing our groundbreaking GPU products to various deployments, from data centers to edge computing. If you have a strong passion for system design and a successful history of engaging with customers on a technical level, this is an excellent opportunity for you to make a substantial contribution. What youll be doing: Lead the product through its entire lifecycle, from the design-in phase to end-of-life, ensuring flawless execution until system Goes-live. . Perform detailed technical analysis, including circuit/board troubleshooting and FAR issue resolution, to ensure products meet customer criteria Offer in-depth technical assistance to OEMs, Tier-1 suppliers, and design houses, ensuring ease of qualification and assisting in issues. Work closely with customers on joint development initiatives, providing technical expertise to create tailored solutions that meet their requirements. Actively work towards achieving the Design Wins with Manufacturers Develop technical solutions including hardware & software demos required for system designs. Provide onsite support to solve hardware and software problems. Be a technical specialist on NVIDIA Datacenter products Establish strong communication channels and collaborative relationships with internal teams to ensure a positive end customer experience. What we need to see: BS or MS in Engineering, Electrical Engineering or Computer Science (or equivalent experience). 8+ years of work-related experience in the high-tech electronics industry, particularly in system design or FAE support roles. Capable of excelling in a dynamic, constantly evolving environment. Remarkable talent for effectively managing multiple initiatives and priorities. Expert analytical and problem-solving abilities. Strong time-management and organizational skills for coordinating complex projects. Excellent written and oral communication skills in English, with the ability to collaborate effectively with both Business and engineering teams. Ways to stand out from the crowd: 8+ years of working experience in System Design / FAE Role. In-depth understanding of CPU, GPU and server Baseboard Designs. Experience with ARM and NVIDIA GPU development. Experience working with Server Manufacturers.

This is a great chance to create a real impact by testing NVIDIA s DriveOS automotive operating system. As a highly skilled and motivated senior software developer, you will push the boundaries of testing and automation, shaping our verification strategy and influencing the future of our test automation systems. If youre passionate about self-driving technology and ready for a challenge, we want to hear from you! What you will be doing You will have a unique opportunity to be at the forefront of ensuring the flawless performance of NVIDIAs groundbreaking technology. Your contributions will directly impact the quality and reliability of our solutions, shaping the future of autonomous systems. In our fast-paced and dynamic environment, you will take on exciting challenges, including: Developing and refining test strategies and test plans for new features, ensuring our solutions meet the highest standards of excellence. Designing and implementing automated testing frameworks to enhance verification processes, driving efficiency and reliability in our testing pipelines. Collaborating with multi-functional teams to gain a deep understanding of customer use cases, project requirements, and feature specifications, ensuring alignment with real-world applications. Investigating, analyzing, and addressing issues found during testing, leading root-cause analysis and implementing effective solutions. Enhancing and optimizing QA processes, ensuring technical excellence while continuously improving quality standards. Providing mentorship and guidance to fellow team members, fostering a culture of collaboration, innovation, and technical excellence. Engaging with global teams across different time zones to deliver a seamless and exceptional user experience. Your expertise in testing and automation will be instrumental in shaping the success of NVIDIAs cutting-edge technology, ensuring we deliver world-class solutions to our customers. What we need to see To excel in this role, we are looking for candidates with the following qualifications: B. E / B. Tech / MS / MCA or its equivalent degree 3+ years of relevant experience in software development Experience in using AI coding assistants to improve coding efficiency and correctness Knowledge in Linux and/or QNX is required Strong embedded testing experience Strong Python skills, with the ability to write logical scripts/code from scratch and use automation frameworks Ability to read C/C++ and low-level code Excellent analytical skills for solving problems Strong interpersonal and communication skills are important An excellent teammate demeanor, passionate about autonomous driving and related fields. Ways to stand out from the crowd Experience in the Autonomous driving domain Proven understanding of Linux Kernel Internals, system software, Graphics, and Multimedia Concepts Proficiency in industry-standard I/Os such as Display, Resource Manager, Ethernet, CAN, PCIe, and PTP or equivalent experience LLM, GenAI Knowledge Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Come be a part of this exciting world, at NVIDIA. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

We are now looking for an experienced software engineer with strong system software and image/video/graphics/multimedia fundamentals with robust C++ skills to contribute to the development of NVIDIA AI for Multimedia components like NVIDIA Maxine & NVIDIA Broadcast - a comprehensive suite of applications, SDKs and framework that enables different broadcast streaming features. What you ll be doing: You will work alongside forward-thinking engineers to implement and optimize software to provide new capabilities in NVIDIA AI for Multimedia components as well as improve the existing features and framework architecture for different GPUs, CPUs and system OS platforms. Well give you exposure to integrating evolving computer vision SDKs into applications & use cases on different platforms. We would be working on many groundbreaking features and their application that are redefining our industry. We will see features go through the whole cycle - from proof-of-concept to production. Together we will connect with multiple teams in our company, as well as our partners and customers. What we need to see: Proficiency in C++ programming and debugging. You have a knack for full stack development - from implementing frameworks and interfaces to understanding the impact and consequence on the hardware. Passion for optimizing system performance, root causing bottlenecks and optimizing performance on GPU, CPU and memory. Strong knowledge of OS fundamentals and familiarity with device driver stacks. You have the knowledge of usage of at least one graphics or image processing library (Direct3D, Vulkan, OpenGL, OpenCV, etc. ) Experience in web streaming technologies like UDP, RTP, secure RTP, gRPC, webRTC. Strong software engineering background and design fundamentals particularly related to creating robust system software. Familiarity with software lifecycle-based processes. Strong communication and analytical skills. Self-motivated, fast to act and eager to learn as well as guide. Bachelor/Master/PhD in Computer Science or Electronics or Electrical Engineering. 6+ years of experience developing systems software on Windows/Linux/iOS. Ways to stand out from the crowd: Experience in video conferencing, broadcasting applications and environments. CUDA programming experience. Experience working with camera, mic, speaker devices. Background in working with computer vision, image, video processing systems. Experience of collaborating with geographically diverse multi-functional teams. NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most talented and hardworking people on the planet working for us. Are you creative? Are you driven not just by the need to know why, but yearn to ask, why not? And have a real passion for technology, we want to hear from you!