1 day ago
Base Salary
$184k - $357k/yr
Responsibilities
- Develop, maintain, and integrate autonomous vehicle control algorithms and software.
- Develop solutions for vehicle trajectory tracking, model predictive control, state estimation, vehicle dynamics, and control.
- Design and implement new software modules for the autonomous vehicle software stack.
- Contribute to system architecture, failure-mode analysis, redundancy, and product-level design.
- Build offline and online performance benchmarks for vehicle control.
- Develop vehicle dynamics tuning tools and manage calibration updates across vehicle types.
- Integrate control functionality across platforms and troubleshoot vehicle control and actuation issues.
- Develop and maintain vehicle test suites and automated tests for software quality and regression prevention.
- Integrate, tune, and validate control software across application, driver, and vehicle network layers.
Requirements
- BS, MS, or higher degree in Mechanical Engineering, Electrical Engineering, Computer Science, or equivalent experience.
- 8+ years of relevant work experience.
- Hands-on knowledge of at least three control theory areas, including classical, modern, nonlinear, model predictive, optimal, robust, or sliding mode control.
- Understanding of state estimation techniques such as Luenberger observers and Kalman filters.
- Ability to develop vehicle models, perform parameter identification, and conduct benchmarking.
- Experience prototyping high-level algorithms in Matlab, Simulink, or Python and implementing them in C/C++.
- Experience with architectural design and C/C++ software development for real-time embedded control systems such as vehicle ECUs.
- Understanding of automotive software test and verification methodologies, including unit- and system-level testing.
- Experience integrating, tuning, and validating prototype or production control software.
- Preferred experience with autonomous vehicles or advanced driver assistance systems, automotive safety concepts, FMEA, safety-critical control systems, deep learning, and neural networks.
- PhD with relevant experience and 12+ years of automotive or autonomous-driving engineering experience are additional preferred qualifications.
Benefits
- Eligible for equity and benefits.
- Base salary is provided for Level 4 and Level 5 roles, depending on location, experience, and comparable employee pay.
- Applications will be accepted at least until September 25, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.