Nvidia is hiring a
System Software Engineer, Calibration - Autonomous Vehicles
We are looking for a System Software Engineer for Autonomous Vehicles supporting Calibration operations. We are seeking system software engineers with interests in computer vision, calibration, egomotion, sensor fusion, handling large and complex software systems on automotive and embedded platforms to work as part of NVIDIA’s autonomous vehicles team. You will be supporting the calibration team with development and validation of the calibration / egomotion algorithms on vehicles, supporting infrastructure in first level triaging and monitoring calibration performance across the fleet. You will be working with NVIDIA's OEM partners to help bring up existing and new calibration-related features on prototype and pilot production vehicles.
What you will be doing:
Develop and maintain fleet monitoring tools supporting calibration of a large vehicle fleet.
Polish existing algorithms and work with large amounts of real and synthetic data to continuously improve the algorithmic and computational performance of calibration for ADAS applications.
Perform in-vehicle tests and troubleshooting, mining/analyzing data and completing drive missions.
Developing and optimizing software architecture and frameworks for real-world performance while matching or exceeding customer requirements.
Working in areas such as sensor self-calibration, vehicle ego-motion using a variety of sensor modalities (Camera, LIDAR, Radar, INS, GPS, Odometry, etc.).
Developing unit tests, documentation for features, evaluating quality and proposing corrective actions.
Developing highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA).
Follow quality and safety standards such as defined by MISRA and AUTOSAR.
Adopting and improving calibration algorithms on existing and new vehicle variants.
What we need to see:
BS/MS or higher in computer science or related engineering discipline (or equivalent experience).
Excellent Python, C and C++ programming skills.
General knowledge of fundamental algorithms in Robotics, Controls / Estimation and Computer Vision.
Strong knowledge of programming and debugging techniques, especially for automotive / robotics systems.
Great communication and analytical skills.
Comfort operating on local/remote Linux machines, using Git, critical and constructive data/code reviews.
Self-motivation and a great teammate.
2+ years of relevant industry experience.
Ways to stand out from the crowd:
Excellent systems troubleshooting skills, examples of navigating complex multi-team projects to troubleshoot cross-platform issues.
Experience with working with large datasets and databases (e.g. SQL queries).
Understanding of embedded architectures in ADAS and/or robotics.
Experience with data-parallel and/or CUDA programming.
Experience with performance analysis, optimizations and benchmarking.
Background with automotive systems, notably ADAS applications.
Programming experience on QNX, Linux and/or other real-time operating systems is a plus.
Deep experience with bazel, docker, VSCode plugins, code analysis/QoL tools.
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