Senior System Software Engineer - AV Platform
NVIDIA· Engineer, Sys SW
Santa Clara, CA$184k - $287.5k + equityfull-timePosted 3mo ago
About the role
Hands-on system software engineer designing and developing core components of NVIDIA DriveWorks SDK for autonomous driving platforms, focusing on sensor integration, data processing, and high-performance, low-latency software across heterogeneous architectures.
Responsibilities
- Designing and developing core components of NVIDIA DriveWorks SDK.
- Developing and optimizing software architecture and frameworks for real-world performance while meeting customer requirements.
- Working on sensor abstraction layers, data processing components, process scheduling, data serialization, network communications, and frameworks.
- Performing in-vehicle tests, collecting data and completing autonomous drive missions.
- Establishing unit tests, documentation for features, evaluating quality and proposing corrective actions.
- Developing highly efficient production code in C++, leveraging CUDA for parallelism; adhering to MISRA and AUTOSAR safety standards.
Qualifications
- BS or MS in Computer Engineering, Computer Science, or related engineering field (or equivalent experience).
- 8+ years of professional experience working on autonomous vehicles software.
- Excellent C and C++ programming skills.
- Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures.
- Proficient with AI-powered coding tools like Cursor, Copilot, Gemini, etc.
- Strong background of Linux, QNX, and/or other real-time operating systems.
- Thrive on writing low latency, highly performant code.
- Great communication and analytical skills.
Skills
Required:C++ programmingC programmingParallel and distributed architecturesLinux, QNX, RTOS
Nice to have:CUDA / GPGPU programmingOpenCLOpenCV
Benefits
- equity
- benefits (see NVIDIA benefits)
Last updated Sep 25, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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