1 day ago
Base Salary
$152k - $288k/yr
Responsibilities
- Develop and improve sensor calibration and egomotion algorithms for ADAS using classical and deep learning methods.
- Evaluate algorithmic and computational performance using real and synthetic data.
- Develop and optimize software architecture and frameworks for internal and external customer requirements.
- Work with camera, lidar, radar, IMU, GPS, odometry, and other sensor modalities.
- Implement efficient production code in C++ using CUDA and GPGPU parallelism.
- Develop 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.
- Productize calibration approaches and support calibration feature bring-up on prototype and pilot production vehicles with OEM partners.
- Adopt and improve calibration algorithms across existing and new vehicle variants.
Requirements
- PhD with at least 1 year, MS with at least 3 years, or BS or equivalent experience with at least 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.
- Preferred experience with data-parallel or CUDA programming, performance analysis, optimization, and benchmarking.
- Preferred background in automotive systems, especially ADAS applications.
- Preferred deep experience with Bazel, Docker, VSCode plugins, code analysis tools, and quality-of-life tools.
- Preferred track record developing calibration algorithms.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and comparable employee pay; listed ranges are $152,000-$241,500 for Level 3 and $184,000-$287,500 for Level 4.
- Applications accepted at least until September 14, 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.