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Open nowPosted 401 days ago

Genesis AI - Staff Software Engineer, Controls

Deploy Talent19 open roles

Where
San Carlos, CA
Work mode
On site
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Your applicationOpen nowGenesis AI - Staff Software Engineer, ControlsDeploy Talent · San Carlos, CA

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Share of postings closed within
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  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 401 days ago

The posting

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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