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Nvidia System Software Engineer Calibration Egomotion Autonomous Vehicles 
China, Shanghai 
308629637

12.08.2024

What you will be doing:

  • Serve as the trusted calibration & ego-motion expert for our Chinese partners and customers on NDAS.

  • Investigate and resolve issues related to both static and dynamic calibrationalgorithms/toolchainsacross different OEM partners' target vehicle platforms.

  • Address challenges associated with ego-motion and sensor fusion (GPS, IMU, CAN Odometry, etc.) for different OEM partners' target vehicle platforms.

  • Deliver onsite or remote technical support throughout the new carline bringup and daily testingprocess.

  • Support the team in enhancing and customizing scalable, highly reliable, and resilient calibration and diagnostic software tailored for various customers and partners.

What we need to see:

  • A BS, MS, or PhD, or equivalent professional experience in Computer Science, Computer Engineering, Mathematics, Physics, or a related discipline.

  • Expertise in C/C++ programming, with a comprehensive understanding of standard C++ features, algorithms, and data structures, along with proficiency in Linux environments.

  • In-depth knowledge of parameter models for sensor calibration.

  • A solid grasp of digital image processing, three-dimensional multi-view geometry, nonlinear optimization, and KF/EKF.

  • A robust mathematical foundation, especially in matrix-related concepts.

  • Practical experience in sensor calibration and odometry is crucial.

  • A readiness to conduct hands-on testing and triaging in test vehicles within a workshop setting.

  • Excellent collaboration skills and the ability to work effectively with individuals from various nationalities and locations.

  • Over 3 years of relevant industry experience.

Ways to stand out from the crowd:

  • Experience with a range of sensors and their data (camera, lidar, radar, IMU, GNSS, CAN Odometry).

  • A track record of designing sensor calibration algorithms for successful ADAS projects.

  • Familiarity with ceres and eigen libraries.