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Tier-1 brand and Bangalore metro boost competition despite niche CUDA/system programming skills.
Highly domain-specific CUDA, driver and OS expertise limits cross-industry transferability.
Explicit 8+ years plus mandatory CUDA, C/C++, OS and system programming requirements make filtering strict.
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Design and build features for CUDA on NVIDIA Tegra platforms, contributing to core system software.
Lead and participate in all phases of software development lifecycle (SDLC) collaborating with multiple teams, including hardware teams.
Develop, test, and maintain production-quality, maintainable code for next-generation GPUs and participate in computing standards development.
Bachelor's or Master's degree in Computer Science or related field, or equivalent experience.
Minimum 8 years of experience in a lead role, demonstrating team leadership.
Proficient in C/C++, with strong understanding of computer architecture and OS fundamentals (Linux, QNX or similar).
Experience with Robotics and AI models for edge inference is mandatory.
Experienced leader capable of independently driving complex system software projects from design through production.
Demonstrated expertise in CUDA and system programming, with additional strengths in parallel programming.
Experienced with AI model development and performance instrumentation, showing familiarity with AI tools and hardware-software integration.