NVIDIA
Senior Software Control Integration Engineer - Autonomous Vehicles
$184K–$356K
US, CA, Santa Clara · Senior · Full-time · Posted Sep 21, 2026
- Experience
- 8+ years of relevant work experience; 12+ years in automotive OEM, tier-1 supplier, or autonomous driving startups is a preferred qualification.
- Education
- BS, MS, or higher in Mechanical Engineering, Electrical Engineering, Computer Science, or equivalent experience.
About the job
Develops, integrates, and validates autonomous vehicle control software and algorithms, including vehicle dynamics, trajectory tracking, and model predictive control.
What you'll do
- Develop control software and vehicle dynamics solutions, including trajectory tracking, MPC, and vehicle state estimation.
- Integrate and troubleshoot control functionality across vehicle platforms; build benchmarks, calibration tools, and automated tests.
- Contribute to system architecture and safety design, including failure modes and redundancy.
What they ask for
- Knowledge and hands-on application of control theory in at least three listed fields.
- Understanding of state estimation techniques and ability to develop vehicle models, identify parameters, and benchmark performance.
- Experience developing real-time embedded control software with C/C++ and prototyping algorithms in Matlab/Simulink/Python.
- Experience with automotive software testing and verification, and integrating, tuning, and validating control software across application, driver, and vehicle network layers.
Nice to have
- Hands-on autonomous vehicle or ADAS development; automotive safety or safety-critical control system experience.
- Understanding of deep learning and neural networks; experience at an automotive OEM, tier-1 supplier, or autonomous driving startup; or a PhD with relevant experience.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
Matlab/Simulink, Python, C/C++, MPC
AI focus
The role develops autonomous vehicle control technology and works alongside AI and deep learning teams. NVIDIA also uses AI tools in its recruiting processes.
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