Senior Integration Engineer - Autonomous Vehicles

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.

• Defining functional software architecture NVIDIA's L2/L3/L4 autonomous driving solutions.
• Integrating modular software components (e.g. perception, planning, etc.) together to implement customer-required self-driving functions.
• Optimizing product implementation to achieve target performance goals.
• Diagnosing system software and functional driving issues reported on our target driving platforms, including on‑road and simulation.
• Create efficient mechanisms to improve utilization on computers with multiple heterogeneous hardware engines.
• Performing in‑vehicle tests, collecting data and completing autonomous drive missions.
• Developing system tests, documentation of product functions, evaluating quality and proposing corrective actions.
• Developing highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA).
• Follow quality and safety standards such as defined by MISRA.

• PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
• Excellent C and C++ programming skills.
• Experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc. Profound knowledge of programming and debugging techniques.
• Experience on developing software in heterogeneous architectures, including GPUs.
• Background with version control systems GIT and build system like CMake/Bazel.
• Be hands‑on and work well within a team of algorithm, software and hardware engineers, with a significant level of detail orientation and a penchant for data organization and presentation.
• Solid understanding of Linux, and/or other real‑time operating systems.

• Understanding of parallel, embedded and distributed architectures.
• Great at writing low latency, highly performant code.
• Great communication and analytical skills.
• Self-motivated and a great teammate.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

NVIDIA uses AI tools in its recruiting processes.

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 employees, 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 or any other characteristic protected by law.