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 interests 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:
Create and optimize software architecture and frameworks for real-world performance while matching or exceeding customer requirements.
Working with vendors developing innovative sensors for vehicles.
Developing sensor drivers, plug-ins, and processing functions around sensor data.
Create highly efficient sensor data recording, playback and visualization tools.
Performing in-vehicle tests, collecting data and analyzing integrity.
Working with our car teams and control teams to develop interfaces to the vehicles to enable self-driving.
Supporting data collection campaigns for our autonomous vehicle program.
Developing unit tests, documentation for features, evaluating quality and proposing corrective actions.
Creating highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA), and following quality and safety standards such as defined by MISRA.
What We Need to See:
BS/MS 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 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.Skills Required
- BS/MS in Computer Engineering, Computer Science or related field
- 8+ years of experience developing and debugging multithreaded/distributed applications
- Excellent C and C++ programming skills
- Strong knowledge of parallel and distributed architectures
- Experience with vehicle control interfaces
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.”
