System Software Engineer, Calibration - Autonomous Vehicles

Responsibilities

• Support the calibration team with development and validation of the calibration/egomotion algorithms on vehicles, maintaining and productizing existing calibration approaches, and supporting infrastructure in first-level triaging and monitoring calibration performance across the fleet.
• Develop new approaches and implement improvements to existing algorithms for sensor calibration for ADAS using both classical and deep-learning methods.
• Work with large amounts of real and synthetic data to evaluate and improve the algorithmic and computational performance of sensor calibration.
• Develop and optimize software architecture and frameworks for real-world performance toward internal and external customer requirements.
• Work with a variety of sensor modalities: camera, LIDAR, radar, IMU, GPS, odometry, etc.
• Develop unit tests, documentation for features, evaluate quality and propose improvements and corrective actions.
• Develop highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA).
• Develop production code to strict quality and safety standards such as MISRA and AUTOSAR.
• Develop and maintain fleet monitoring tools supporting calibration of a large vehicle fleet.
• Perform in-vehicle tests and troubleshooting, mining/analyzing data and completing drive missions.
• Adopt and improve calibration algorithms on existing and new vehicle variants.
• Work with NVIDIA's OEM partners to help bring up existing and new calibration-related features on prototype and pilot production vehicles.

• 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.
• General knowledge of fundamental algorithms in Robotics, Controls / Estimation and 3D Computer Vision.
• Strong knowledge of programming and debugging techniques, especially for automotive / robotics systems.
• Great communication and analytical skills, including contributing critical and constructive design and code review.
• Comfort with local/remote Linux machines, git, and build systems.
• Self‑motivation and a great teammate.

• Experience with data‑parallel and/or CUDA programming.
• Experience with performance analysis, optimizations and benchmarking.
• Background with automotive systems, notably ADAS applications.
• Deep experience with Bazel, Docker, VSCode plugins, code analysis/QoL tools.
• Proven track record of working on calibration related projects, i.e., developing new calibration algorithms.

Base salary will be determined based on location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD – 241,500 USD for Level 3, and 184,000 USD – 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted until July 22, 2026.

NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

Learn more about NVIDIA.