Senior System Software Engineer - AV Platform

NVIDIA is hiring a Senior System Software Engineer - AV Platform in Santa Clara, United States. It pays $184k-$288k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
Pay on this posting starts 10% higher than the typical software engineer posting on Level.
Level classes it as a senior role.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

The Autonomous Vehicles Platform team is now looking for a Senior System Software Engineer. Our team builds the NVIDIA DriveWorks SDK with the goal to provide a scalable software stack and framework to build autonomous vehicles. We are seeking software engineers with interest in designing, developing and maintaining many aspects of the core technology around sensor drivers and interfaces, data streaming, data recording and playback, and vehicle interface abstraction.

What you will be doing:

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.

What we need to see:

BS or MS degree 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 like multimedia systems, game engines, etc.
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.
Thrive on writing low latency, highly performant code.
Great communication and analytical skills.

Ways to stand out from the crowd:

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.

#AutonomousVehicles

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 184,000 USD – 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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 rate this

Senior System Software Engineer - AV Platform at NVIDIA rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.