Job Description

Key Responsibilities:1. Design and implement cutting-edge deep neural network solutions and LLMs.2. Lead the architecture and development of complex platform systems with a focus on performance, scalability, and reliability.3. Work hands-on in developing solutions for memory, storage, or embedded systems.4. Contribute to standardization efforts, technical publications, and patent submissions.5. Collaborate across cross-functional teams using Agile/Scrum methodologies.6. Debug, optimize, and deliver high-performance code in C/C++ and Python.7. Provide mentorship and technical guidance across teams. Desired Skills & Expertise:1. Strong hands-on experience with Large Models, LLMs, and Deep Learning frameworks.2. In-depth expertise in System Platform Architecture.3. Experience in development for embedded systems, memory/storage platforms, or similar.4. Solid background in technical writing, standards contributions, or patent filing.5. Proficiency in C/C++ and Python.6. Strong problem-solving, analytical thinking, and technical communication skills.7. Experience with device drivers is a plus.8. Familiarity with Agile/Scrum development processes. Qualifications:1. Bachelor’s degree (B.Tech) in Computer Science, Electrical Engineering, or related field.2. 8–10 years of industry experience in relevant technical domains.