Senior System Software Engineer - AV Platform

AI in this role

Design and develop core components of autonomous vehicle platform software and SDKs using C++ and CUDA.

geminicopilotcursorccudalinuxqnxopencvmatlab

autonomous-vehiclessystem-softwaregpun-programmingembedded-systemsdistributed-systems

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!

What you will be doing:

Designing and developing core components of NVIDIA DriveWorks SDK.
Developing and optimizing software architecture and frameworks for real-world performance while matching or exceeding customer requirements.
Working on areas such as 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++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA). Follow quality and safety standards such as defined by MISRA and AUTOSAR.

What we need to see:

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.

Ways to stand out from the crowd:

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.

#AutonomousVehicles

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

How we score this

Senior System Software Engineer - AV Platform at NVIDIA scores 80 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 4. Building AI systems is the job itself: without AI, the role would not exist.

AI Level 480 to 100
AI Level 360 to 79
AI Level 240 to 59
AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Autonomous VehiclesSystem SoftwareGpun ProgrammingEmbedded SystemsDistributed SystemsGeminiCopilotCursor

Questions you could be asked

Tell me about a project where autonomous vehicles was part of your work. What did you do?
Tell me about a project where system software was part of your work. What did you do?
Tell me about a project where gpun programming was part of your work. What did you do?
Tell me about a project where embedded systems was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Autonomous Vehicles, System Software, Gpun Programming, Embedded Systems, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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