Senior System Software Engineer - Autonomous Vehicles

at Nvidia

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 Android @ 4 CUDA @ 4 Communication @ 7 Debugging @ 7 Git @ 4 Linux @ 4 OpenCL @ 4 OpenGL @ 4 Software Development @ 4

Details

The Autonomous Vehicles Platform team builds the NVIDIA DriveWorks SDK to provide a scalable software stack and framework to build autonomous vehicles. The team develops core technology around sensor drivers and interfaces, data streaming, data recording and playback, and vehicle interface abstraction.

Responsibilities

Create and optimize software architecture and frameworks for real-world performance while matching or exceeding customer requirements.
Work with vendors developing innovative sensors for vehicles.
Develop sensor drivers, plug-ins, and processing functions around sensor data.
Create highly efficient sensor data recording, playback and visualization tools.
Perform in-vehicle tests, collect data and analyze integrity.
Work with car teams and control teams to develop interfaces to vehicles to enable self-driving.
Support data collection campaigns for the autonomous vehicle program.
Develop unit tests and documentation for features, evaluate quality and propose corrective actions.
Create highly efficient product code in C++, leverage high algorithmic parallelism offered by GPGPU programming (CUDA), and follow quality and safety standards such as MISRA.

Requirements

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 (e.g., multimedia systems, game engines).
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.
Ability to write low latency, highly performant code.
Strong communication and analytical skills.

Ways to Stand Out

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.

Compensation & Benefits

Base salary ranges by level provided: Level 4 — 184,000 USD to 287,500 USD; Level 5 — 224,000 USD to 356,500 USD.
Eligible for equity and benefits (link provided in original posting).

Other Details

Location: Santa Clara, CA, United States.
Employment type: Full time.
Applications accepted at least until May 1, 2026.
NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to diversity and inclusion.