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What You'll Be Doing:
Generate real-time 3D world model utilized by planning, incorporating a variety of inputs from sensors and external sources.
Enable HD mapless driving in complex urban scenarios by creating enriched BEV models of the world.
Design and integrate algorithmic solutions into the core of NVIDIA AV.
Build fused static obstacles and occupancy grids and build occlusion masks to enrich AV scenarios.
Write safe embedded software code to run in real-time systems.
Develop highly efficient product code in C++ and make use of algorithmic parallelism offered by GPGPU programming (CUDA).
Produce code and designs following automotive quality and safety standards.
What We Need To See:
Bachelor’s / Master’s / PhD in Computer Science or a related field with 3+ years of experience.
Software industry experience.
Strong C++ development skills.
Passion for robotics and autonomous vehicles.
Drive to learn new things and tackle meaningful problems.
Outstanding communication and cross-team collaboration.
Independent and analytical software engineering skills.
Ability to work in both Chinese and English languages.
Software development on embedded or automotive platforms.
Ways To Stand Out From The Crowd:
Background in 3D geometry, computer vision, or state estimation algorithms like Kalman filters, particle filters.
Runtime optimization of code using profilers.
Experience with CUDA parallel programming.
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