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
Android @ 6
CUDA @ 4
Communication @ 7
Debugging @ 7
Git @ 4
Linux @ 4
OpenCL @ 4
OpenGL @ 4
Software Development @ 4
- 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.
Details
The Autonomous Vehicles Platform team builds the NVIDIA DriveWorks SDK, providing a scalable software stack and framework for autonomous vehicles. The role focuses on core technologies including sensor drivers and interfaces, data streaming, data recording and playback, and vehicle interface abstraction.
Responsibilities
- 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.
Requirements
- BS or MS degree in Computer Engineering, Computer Science, or a related field, or equivalent experience.
- Excellent C and C++ programming skills.
- 8+ years of proven experience developing and debugging multithreaded or distributed applications, such as multimedia systems or game engines.
- Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures.
- Background in Linux, Android, and/or other real-time operating systems.
- Experience with sensors such as cameras, LiDAR, radar, ultrasonics, IMU, and GPS.
- Experience with vehicle control interfaces.
- Ability to write low-latency, highly performant code.
- Strong communication and analytical skills.
Preferred Qualifications
- Understanding of embedded architectures.
- Experience with data-parallel and/or GPGPU programming, CUDA, and OpenCL.
- Software development experience with modern OpenGL Core Profile and Linux.
- Experience with version control systems, Git, and the CMake build system.
Compensation and Benefits
- Base salary range: USD 184,000–287,500 per year, determined based on location, experience, and the pay of employees in similar positions.
- Eligible for equity and benefits.
- Applications will be accepted at least until July 21, 2026.
NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. NVIDIA uses AI tools in its recruiting processes.
More jobs at Nvidia
Research Engineer, Interactive World Models - New College Grad 2026
Nvidia · Santa Clara, United States
USD 108,000-195,500 per year
Senior Security Engineer, Infrastructure Security Engineering - DGX Cloud
Nvidia · Canada
CAD 170,000-275,000 per year
Systems Software Engineer - AI and Cloud
Nvidia · Santa Clara, United States
USD 124,000-241,500 per year
Senior Engineering Manager, Infrastructure Security Engineering - DGX Cloud
Nvidia · Canada
CAD 245,000-295,000 per year
Senior Compute Platform Engineer, LSF
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Similar jobs
Senior System Software Engineer - AV Platform
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Senior System Software Engineer - Autonomous Vehicles
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Senior Integration Engineer - Autonomous Vehicles
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Senior Software QA Test Development Engineer - Diagnostics
Nvidia · Santa Clara, United States
USD 140,000-270,200 per year
Senior Solution Engineer, Networking
Nvidia · Santa Clara, United States
USD 168,000-322,000 per year
Networking Verification Engineer
Nvidia · Austin, United States
USD 124,000-241,500 per year
Senior Developer Technology Engineer - Agentic SoC Performance
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Senior Systems Software Engineer – Wireless
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year