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Genesis AI - Staff Software Engineer, Controls

Reposted 19 Days Ago
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In-Office
San Carlos, CA, USA
100K-150K Annually
Senior level
In-Office
San Carlos, CA, USA
100K-150K Annually
Senior level
The Staff Software Engineer will design and optimize control systems for general-purpose robots, focusing on motion planning, state estimation, and robust software frameworks for real-world applications.
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Staff Software Engineer, Controls

Company

Genesis is a global physical AI lab and full-stack robotics company. We build generalist robots to unlock unlimited physical labor, allowing humans to focus on creativity, curiosity, and what they love. We recently raised a $105M Seed round backed by Khosla Ventures and Eclipse, and we’re looking to expand our software and hardware teams rapidly. 


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
  • 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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