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Tier-1 employer and metro location increase competition, but niche CUDA driver seniority reduces applicant density.
Role requires specialized GPU driver and system programming expertise, limiting cross-industry transferability.
Explicit 8+ years, leadership, and specialized CUDA/system programming requirements make shortlisting highly stringent.
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Design and maintain CUDA features specific to NVIDIA Tegra platforms as part of critical system software.
Lead and contribute across the Software Development Life Cycle (SDLC) including coding, testing, and collaborating with hardware teams.
Develop solutions that support next-generation GPU technologies and participate in proprietary and open computing standards development.
Bachelor's or Master's degree in Computer Science or related field, or equivalent experience.
8+ years of professional experience with demonstrated leadership in software engineering roles.
Strong knowledge and hands-on experience in C/C++, computer architecture, and operating systems (Linux, QNX or similar).
Experience required in Robotics and AI model deployment for edge inference.
Experienced technical leader capable of driving complex system-level software projects independently and within a team.
Expertise in system programming and parallel programming, preferably with demonstrated CUDA experience.
Background in AI model development and performance tuning in embedded or edge computing environments.