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What you'll be doing:
Building the next generation of NVIDIA cuMotion, empowering robot arms to move at unprecedented speeds even in cluttered environments.
Crafting robust and performant implementations of motion generation algorithms that you invent in collaboration with creative researchers and engineers.
Refining, training, and testing control schemes in simulation and on physical robots.
Working with an outstanding team of robotics software engineers to deliver the technology you develop to leading companies and researchers, including as open-source software.
What we need to see:
BS, MS, or PhD degree in Computer Science or a related field, or equivalent experience.
You have 5+ years of experience developing optimized implementations of numerical or geometric algorithms, preferably in an industry setting.
You’re proficient in modern C++ and Python.
Prior research or projects related to motion planning and control, simulation, or a related area.
You're self-motivated and willing to work with a distributed team to break new ground.
Ways to stand out from the crowd:
Possess a passion for robotics and building production software.
Experience with ROS 2, including ros2_control and MoveIt 2.
Additional expertise in machine learning, computer vision, physics simulation, or computer graphics.
Experience with parallel programming and especially CUDA C++.
You are comfortable working in multifaceted and ever-evolving environments.
You will also be eligible for equity and .
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