System Software Engineer, Calibration - Autonomous Vehicles

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

System Software Engineer for Autonomous Vehicles focusing on calibration, egomotion, sensor fusion, and large-scale software systems on automotive and embedded platforms. The role involves developing and validating calibration algorithms using classical and deep learning methods, working with real and synthetic data, optimizing software architecture, and ensuring production code meets strict quality and safety standards. Experience with C++, Python, robotics, computer vision, and CUDA is required.

What you'd actually do

  1. Develop new approaches and implement improvements to existing algorithms for sensor calibration for ADAS using both classical and deep learning methods.
  2. Work with large amounts of real and synthetic data to evaluate and improve the algorithmic and computational performance of sensor calibration.
  3. Develop and optimize software architecture and frameworks for real-world performance towards internal and external customer requirements.
  4. Work with a variety of sensor modalities: camera, LIDAR, radar, IMU, GPS, odometry, etc.
  5. Develop unit tests, documentation for features, evaluate quality and propose improvements and corrective actions.

Skills

Required

  • 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, build systems.
  • Self-motivation and a great teammate.

Nice to have

  • 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

What the JD emphasized

  • strict quality and safety standards such as MISRA and AUTOSAR
  • proven track record of working on calibration related projects, i.e. developing new calibration algorithms

Other signals

  • 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 towards internal and external customer requirements
  • 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