Senior Integration Engineer - Autonomous Vehicles at NVIDIA

You're a seasoned engineer with a Master's degree and at least three years of relevant experience, or a Bachelor's with five years, holding strong C++ programmi

Work type: onsite

Location: US, CA, Santa Clara

Salary: $152,000 – $287,500/yr

Type: Full-time

Summary

You're a seasoned engineer with a Master's degree and at least three years of relevant experience, or a Bachelor's with five years, holding strong C++ programming skills and experience with complex system integration. **What makes it worth a look...** NVIDIA is offering a full-time, on-site Senior Integration Engineer role in Santa Clara, CA, with a compelling annual salary range of $152,000 to $287,500, plus eligibility for equity. **You might be a good fit if you...** * Have experience building and debugging multithreaded/distributed applications. * Know your way around heterogeneous architectures, especially those involving GPUs. * Are proficient with version control systems like GIT and build systems like CMake/Bazel. * Understand Linux or other real-time operating systems.

Job Description

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.

Our team builds NVIDIA's end-to-end autonomous driving application. We are seeking software engineers, who want to work "full stack" on crafting self-driving solutions on NVIDIA's multi-computer and heterogeneous hardware architectures. We are now looking for a Senior Integration Engineer, Autonomous Vehicle.

What you'll be doing:

• 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 & functional driving issues reported on our target driving platforms, including on-road & 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.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

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

This posting is for an existing vacancy. 

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.

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