Robotics

Genesis AI; United States; On-site; USD 120,000 - 200,000; Full time

Job summary

Genesis AI seeks a senior control systems engineer to design, implement, and optimize the embedded control stack for general-purpose robots, leading real-world robotics software development.

You will work across dynamics, sensing, and optimization, bridging hardware and software with an emphasis on robust end-to-end systems and advancing RL/vision-language-action models for versatile robotics applications.

Qualifications

• 8+ years designing, implementing, and deploying advanced control algorithms on real robotic systems.
• Deep knowledge of dynamics, kinematics, optimal control, and state estimation.
• Strong command of hardware interfaces, sensors (IMUs, F/T sensors), and actuation (motors, gearboxes, drivers).
• Production-level mastery of C++ with a track record of safe, reliable software.
• Ability to bridge hardware, software, and algorithms to deliver end-to-end robotics solutions.
• Open mindset toward deep learning, RL, and vision-language-action models for general-purpose robotics.
• Bonus: experience shipping humanoid or whole-body control systems.
• Bonus: published work in control theory, state estimation, or optimization.
• Bonus: familiarity with parallel GPU computation to accelerate optimization.

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 (nonlinear MPC, convex optimization, trajectory optimization) for high-performance behavior
• Build modular software frameworks enabling rapid iteration between simulation and hardware
• Lead debugging, tuning, and validation of controllers directly on physical robots

Skills

Control systems

C++ programming

State estimation

Sensor integration

Hardware interfaces

Dynamic optimization

Robotics software

Reinforcement learning

Vision-language-action robotics

Tools

GPU acceleration

Job description

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