Senior Robotics/AI Motor Control Scientist, Fauna

What you'll do

• Develop and optimize motor-control algorithms using learning and other AI techniques; validate them through simulation and real-world testing.
• Integrate controllers with robotic hardware, accounting for actuator dynamics and energy efficiency.
• Lead technical projects through production, mentor junior team members, and connect research with engineering implementation.

What they ask for

• PhD, or Master's degree and 6+ years of applied research experience.
• 3+ years of industry or academic research experience; experience leading technical initiatives and mentoring, leading, or managing junior engineers.
• Experience in Java, C++, Python, or a related language; robot-learning simulation environments and sim-to-real transfer.
• Strong publication record at major Robotics/ML/AI conferences; knowledge of robotic kinematics and motion planning; experience applying learning or other AI techniques to robotic motor control.

Nice to have

• Experience with PyTorch or JAX; impactful first-author publications or large-scale distributed RL training.
• Technical leadership and cross-functional collaboration; research-to-production robotics experience, perception integration, or familiarity with robot hardware constraints.

Pay

183,800.00 - 248,700.00 USD annually (base salary)

Tools

Java, C++, Python, Isaac Gym/Lab, MuJoCo, PyTorch, JAX

AI focus

Develop reinforcement-learning, imitation-learning, or other AI motor-control algorithms for adaptive robotic behaviors, including simulation-to-real deployment.