2 days ago
Santa Clara, CA, USAMid Level / Senior
H1B sponsor
Base Salary
$152k - $288k/yr
Responsibilities
- Develop and improve sensor calibration algorithms for ADAS using classical and deep learning methods.
- Evaluate real and synthetic data to improve calibration algorithmic and computational performance.
- Develop and optimize software architecture, frameworks, and production code in C++.
- Use CUDA and GPGPU parallelism to build highly efficient software.
- Develop production software meeting MISRA and AUTOSAR quality and safety standards.
- Create unit tests, documentation, quality evaluations, and corrective actions.
- Develop and maintain fleet monitoring tools for calibration performance.
- Perform in-vehicle testing, troubleshooting, data analysis, and drive missions.
- Support calibration feature bring-up with NVIDIA OEM partners on prototype and pilot production vehicles.
- Adopt and improve calibration algorithms across existing and new vehicle variants.
Requirements
- PhD with 1+ year, MS with 3+ years, or BS or equivalent experience with 5+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
- Excellent C++ and Python programming skills.
- Knowledge of fundamental algorithms in robotics, controls, estimation, and 3D computer vision.
- Strong programming and debugging skills for automotive or robotics systems.
- Comfort working with local and remote Linux machines, Git, and build systems.
- Strong communication, analytical, design review, and code review skills.
- Experience with data-parallel or CUDA programming is preferred.
- Experience with performance analysis, optimization, and benchmarking is preferred.
- Automotive or ADAS experience and calibration project experience are preferred.
- Experience with Bazel, Docker, VSCode plugins, and code analysis or quality-of-life tools is preferred.
Benefits
- Eligible for equity and benefits.
- Base salary is determined by location, experience, and other objective job-related factors.
- Applications will be accepted at least until November 3, 2026.
- This posting is for an existing vacancy.
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.