The Autonomous Vehicles Platform team is now looking for a Senior System Software Engineer. Our team builds the NVIDIA DriveWorks SDK with the goal to provide a scalable software stack and framework to build autonomous vehicles. We are seeking software engineers with interest in designing, developing and maintaining many aspects of the core technology around sensor drivers and interfaces, data streaming, data recording and playback, and vehicle interface abstraction.
What you will be doing:
Design and optimize software architectures and frameworks to deliver real-world performance that meets or exceeds customer specifications.
Develop high-efficiency product code in C++ using CUDA for GPGPU algorithmic parallelism, adhering to MISRA safety and quality standards.
Collaborate with vendors on the design and integration of innovative vehicular sensors.
Build sensor drivers, plug-ins, and core data processing components.
Create highly optimized tools for sensor data recording, playback, and visualization.
Partner with control and vehicle teams to build self-driving interfaces.
Perform in-vehicle testing, collect field data, and analyze data integrity.
Support comprehensive data collection campaigns across the autonomous vehicle program.
What we need to see:
BS or MS degree in Computer Engineering, Computer Science or related field (or equivalent experience).
Excellent C and C++ programming skills.
8+ years of proven experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc.
Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures.
Background on Linux, Android, and/or other real-time operating systems.
Experience with sensors such as cameras, LiDAR, radar, ultrasonics, IMU, GPS.
Experience with vehicle control interfaces.
Thrive on writing low latency, highly performant code.
Great communication and analytical skills.
Ways to stand out from the crowd:
Understanding of embedded architectures.
Experience with data-parallel and/or GPGPU programming, CUDA, and OpenCL.
Software development for modern OpenGL (Core Profile) and Linux.
Experience with version control systems, GIT and build system CMake.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- BS or MS in Computer Engineering, Computer Science or related field (or equivalent experience).
- Excellent C and C++ programming skills.
- 8+ years developing and debugging multithreaded/distributed applications (multimedia systems, game engines, etc.).
- Strong knowledge of programming and debugging techniques for parallel and distributed architectures.
- Background on Linux, Android, and/or other real-time operating systems.
- Experience with sensors such as cameras, LiDAR, radar, ultrasonics, IMU, GPS.
- Experience with vehicle control interfaces.
- Experience writing low-latency, highly performant code.
- Great communication and analytical skills.
- Experience with CUDA and GPGPU programming.
- Familiarity with MISRA safety and quality standards.
- Understanding of embedded architectures.
- Experience with OpenCL.
- Experience with OpenGL (Core Profile).
- Experience with version control systems, Git.
- Experience with build system CMake.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
