Senior System Software Engineer - AV Platform

at Nvidia
📍 Santa Clara, United States
USD 152,000-287,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 4 Linux @ 7 Communication @ 4 Git @ 4 Matlab @ 4 Debugging @ 7 API @ 4 CUDA @ 4

Details

The Autonomous Vehicles System Software Team is looking for a hands-on System Software Engineer. As part of our team, you will work on our Autonomous Driving Platform software, implementing performant and scalable solutions for data collections and autonomous vehicle fleets. Our team is responsible for developing platform and middleware features for self-driving cars. This includes software that interacts with various sensors including Cameras, LIDAR, RADAR, GPS, IMU, Vehicle CAN etc. We are seeking candidates with interests in inventing, developing, and maintaining application framework and tools on multi-computer and heterogeneous architectures. The role encompasses working with various teams across the stack, from platform and embedded software to cloud infrastructure, underpinned by safety and performance. It extends an opportunity to contribute to the technology that will drive the cars of the future!

Responsibilities

  • Design and develop core components of NVIDIA DriveWorks SDK.
  • Develop and optimize software architecture and frameworks for real-world performance while matching or exceeding customer requirements.
  • Work on sensor abstraction layers, data processing components, process scheduling, data serialization, network communications, and related frameworks.
  • Perform in-vehicle tests, collect data, and complete autonomous drive missions.
  • Establish unit tests and documentation for features; evaluate quality and propose corrective actions.
  • Develop highly efficient production code in C++ and C, making use of high algorithmic parallelism offered by GPGPU programming (CUDA).
  • Follow quality and safety standards such as MISRA and AUTOSAR.

Requirements

  • BS or MS in Computer Engineering, Computer Science, or related engineering field (or equivalent experience).
  • 5+ 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 with Linux, QNX, and/or other real-time operating systems.
  • Experience writing low-latency, highly performant code.
  • Great communication and analytical skills.

Ways to stand out

  • Experience with data-parallel and/or GPGPU programming, CUDA, OpenCL.
  • Knowledge of image processing APIs (e.g. OpenCV) and MATLAB tools.
  • Knowledge of automotive systems, notably ADAS applications.
  • Software development for modern OpenGL (Core Profile) and Linux.
  • Experience with version control systems GIT and build system Bazel.

Compensation and other details

  • The base salary range is 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
  • You will also be eligible for equity and benefits (see NVIDIA benefits page: https://www.nvidia.com/en-us/benefits/).
  • Applications for this job will be accepted at least until January 19, 2026. This posting is for an existing vacancy.
  • NVIDIA uses AI tools in its recruiting processes.
  • NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.