NVIDIA
System Software Engineer, Calibration - Autonomous Vehicles
$152K–$288K
US, CA, Santa Clara · Full-time · Posted Oct 28, 2026
- Experience
- PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of relevant experience.
- Education
- PhD, MS, or BS (or equivalent experience) in Computer Science, Computer Engineering, or a related technical field.
About the job
Develop, validate, and productize sensor calibration and egomotion software for autonomous vehicles, including fleet monitoring and vehicle testing.
What you'll do
- Develop and improve sensor calibration algorithms using classical and deep learning methods; assess them with real and synthetic data.
- Build efficient production software and supporting frameworks, tests, and fleet-monitoring tools for automotive platforms.
- Work with OEM partners on vehicle bring-up, perform in-vehicle testing and troubleshooting, and support calibration across vehicle variants.
What they ask for
- Excellent C++ and Python programming skills.
- Knowledge of algorithms in robotics, controls/estimation, and 3D computer vision.
- Strong programming and debugging skills, especially for automotive or robotics systems.
- Comfort with Linux machines, git, and build systems.
Nice to have
- Experience with data-parallel or CUDA programming, performance analysis, optimization, and benchmarking.
- Automotive/ADAS or calibration-algorithm experience; familiarity with bazel, docker, VSCode plugins, or code analysis/QoL tools.
Pay
152,000 USD - 241,500 USD (base salary, Level 3); 184,000 USD - 287,500 USD (base salary, Level 4)
Tools
C++, Python, CUDA, Linux, git, MISRA, AUTOSAR, bazel
AI focus
Develop sensor calibration algorithms using deep learning methods. NVIDIA also states that it uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative