Senior System Software Engineer, CUDA - Tegra

Responsibilities

• Build and maintain features in CUDA for NVIDIA Tegra platforms
• Contribute towards all aspects of SDLC, and collaborate across multiple teams
• Write effective, maintainable, and well-tested production level code
• Participate in the development of proprietary and open computing standards
• Contribute to development of next-generation GPUs in collaboration with HW teams at NVIDIA

Requirements

• BS/MS in Computer Science or related field or equivalent 8+ years of experience
• Hands on experience with Robotics and AI Models for edge inference
• Strong knowledge of C/C++, computer architecture and OS fundamentals (Linux, QNX or similar)
• Excellent debugging and problem-solving skills
• Ability to lead from the front and work independently

Preferred Qualifications

• Experience with CUDA and System Programming
• Expertise in Parallel Programming
• Development of AI models and performance instrumentation
• Familiarity with AI tools

About the Company

NVIDIA is a global leader in parallel computing and AI, developing the CUDA parallel computing platform and programming model for general computing on GPUs.