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GE
Genesis
Robotics
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Tailor resume
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Location
Bay Area
Work mode
on-site
Type
full-time
Department
Engineering & Research
Company size
51+ people
First seen
4mo ago
Last seen
2d ago
What You’ll Do
•
Design, implement, and optimize the embedded control stack for general-purpose robots
•
Design motion planning and trajectory optimization algorithms for dynamic locomotion and manipulation
•
Build real-time state estimation pipelines for pose, contact, and force sensing, fusing heterogeneous sensor data under noise and uncertainty
•
Formulate and solve optimal control problems (nonlinear MPC, convex optimization, trajectory optimization) for high-performance and stable behavior
•
Build modular and robust software frameworks enabling rapid iteration between simulation and hardware
•
Lead debugging, tuning, and validation of controllers directly on physical robots
What You’ll Bring
•
Passion for your craft and demonstrated excellence in control systems engineering
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Extensive experience in designing, implementing, and deploying advanced control algorithms on real robotic system products (8+ years)
•
Deep expertise in dynamics, kinematics, optimal control, and state estimation
•
Strong command of hardware interfaces, sensors (IMUs, F/T sensors), and actuation technologies (motors, gearboxes, drivers)
•
Production-level mastery of C++ with a track record of building reliable, safety-critical software
•
Proven ability to bridge across hardware, software, and algorithms to deliver robust end-to-end systems
•
An open mind about the power of deep learning, reinforcement learning, and vision-language-action models as critical for general-purpose robotics
•
Bonus:
Experience shipping humanoid robots or whole-body control systems
•
Bonus:
Impactful published work in control theory, state estimation, or mathematical optimization
•
Bonus:
Familiarity with parallel computation on GPUs to accelerate optimization
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