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System Software Engineer, Calibration – Autonomous Vehicles
Location
Switzerland
Posted
78 days ago
Salary
0
Seniority
Senior
Job Description
System Software Engineer, Calibration – Autonomous Vehicles
NVIDIA
• 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. • 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.
Job 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.
- 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.
- 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.
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