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What you'll be doing:
Design and build robust and accurate solutions for map enhanced autonomous driving.
Localize to map data to provide the most precise and rich model of the environment around the car, including beyond the horizon of perception.
Make sure our algorithms work well on large amounts of real and synthetic data, in a diverse range of environments and conditions.
Write safe, highly efficient real-time code in C++, making use of algorithmic parallelism offered by GPGPU programming in CUDA.
Productize all software for real-world deployment to consumer cars, following automotive quality and safety standards (MISRA, ISO26262).
What we need to see:
BS, MS, or PhD in Computer Science or equivalent experience.
15 + years of proven experience.
Hands on experience in working on computer vision, 3D geometry, mapping, localization, route & lane planning or related technologies within autonomous vehicles or robotics.
Outstanding communication and teamwork skills, as this project requires both cross-team collaboration and work in a tightly-knit team.
Meticulous craftsmanship of software in modern C++.
A solid foundation in linear algebra and geometric computer vision.
Ways to stand out from the crowd:
Significant industry experience in above areas.
Experience developing real-time Computer Vision systems.
Background with CUDA parallel programming
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