NVIDIA
Senior Software Engineer, Metrics and Evaluation - Autonomous Vehicles
$184K–$356K
US, CA, Santa Clara +4 · Senior · Full-time · Posted Oct 13, 2026
- Location
- US, CA, Santa Clara
US, GA, Remote
US, DC, Remote
US, NC, Remote
US, WA, Remote - Experience
- 8+ years in software engineering, data science, and/or experiment design roles.
- Education
- MS, PhD, or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science, or similar fields.
About the job
Develop metrics, methodologies, and evaluation products that help NVIDIA’s Planning and Control team rapidly test, debug, and improve autonomous vehicle software.
What you'll do
- Define and develop metrics for debugging, testing, and evaluating autonomous vehicle software.
- Build data-driven evaluation products combining on-road driving analysis, large-scale simulation, models, metrics, and dashboards.
- Collaborate across engineering and robotics teams to develop evaluation methods and software testing strategies.
What they ask for
- MS, PhD, or equivalent experience in a relevant field such as data science, engineering, physics, or computer science.
- 8+ years of experience in software engineering, data science, and/or experiment design roles.
- Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib).
- Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system.
Nice to have
- Experience developing on-board planning algorithms or metrics for autonomous vehicle robotics systems.
- Experience evaluating precision and recall of performance metrics; familiarity with C++, Bazel, vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, or self-driving technologies.
Pay
184,000 USD - 287,500 USD base salary for Level 4; 224,000 USD - 356,500 USD base salary for Level 5.
Tools
Python, Pandas, Numpy, Scipy, Matplotlib, GIT, Linux (Ubuntu), C++
AI focus
Develop evaluation methods and metrics for autonomous vehicle planning and control software. NVIDIA states that it uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative