Robotics Control Engineer - Real-Time Embedded & MPC

Genesis

San Carlos (CA)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Genesis in California seeks an experienced control systems engineer to design, implement, and optimize the embedded control stack for general-purpose robots, including motion planning and trajectory optimization. You will build real-time state estimation pipelines, formulate optimal control problems, and develop modular software frameworks enabling rapid iteration between simulation and hardware.

Lead debugging and validation on physical robots, bridging hardware, software, and algorithms, with

Qualifications

  • Passion for your craft and demonstrated excellence in control systems engineering.
  • 8+ years experience designing, implementing, and deploying advanced control algorithms on real robotic systems.
  • Deep expertise in dynamics, kinematics, optimal control, and state estimation.
  • Strong command of hardware interfaces, sensors (IMUs, force/torque sensors), and actuation technologies (motors, gearboxes).
  • Production-level mastery of C++ with a track record of building reliable, safety-critical software.
  • Proven ability to bridge hardware, software, and algorithms to deliver robust end-to-end systems.
  • Open mind about the power of deep learning, RL, and vision-language-action models for robotics.
  • Bonus: Experience shipping humanoid robots or whole-body control systems.
  • Bonus: Published work in control theory, state estimation, or optimization.
  • Bonus: Familiarity with parallel computation on GPUs.

Responsibilities

  • Design, implement, and optimize the embedded control stack for general-purpose robots.
  • Design motion planning and trajectory optimization for dynamic locomotion and manipulation.
  • Build real-time state estimation pipelines for pose, contact, and force sensing.
  • Formulate and solve optimal control problems for high-performance, stable behavior.
  • Build modular software frameworks enabling rapid iteration between simulation and hardware.
  • Lead debugging, tuning, and validation of controllers on physical robots.

Skills

Control systems
C++
State estimation
Dynamics & kinematics
Hardware interfaces
Robotics integration
Deep learning basics
GPU acceleration

Job description

Genesis in California seeks an experienced control systems engineer to design, implement, and optimize the embedded control stack for general-purpose robots, including motion planning and trajectory optimization. You will build real-time state estimation pipelines, formulate optimal control problems, and develop modular software frameworks enabling rapid iteration between simulation and hardware.

Lead debugging and validation on physical robots, bridging hardware, software, and algorithms, with

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