Lead Robotics Control Systems Engineer

Genesis AI; San Carlos (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Genesis AI is seeking an experienced control systems engineer in the San Carlos, CA area to design, implement, and optimize the embedded control stack for general-purpose robots. You will contribute to motion planning, trajectory optimization, and real-time state estimation while integrating hardware and software into robust end-to-end robotic systems.

The role demands 8+ years in control engineering, strong dynamics/kinematics knowledge, and production-grade C++ expertise.

Qualifications

• 8+ years of experience in control systems engineering.
• Proven track record deploying advanced control algorithms on real robotic systems.
• Strong background in dynamics, kinematics, and optimal control.
• Expertise in state estimation and sensor fusion.
• Proficiency in C++ for production-grade software.
• Ability to bridge hardware, software, and algorithms to deliver end-to-end systems.

Responsibilities

• Design, implement, and optimize embedded control stack for robots.
• Design motion planning and trajectory optimization for dynamic locomotion and manipulation.
• Build real-time state estimation pipelines fusing sensor data.
• Formulate and solve optimal control problems (MPC, trajectory optimization).
• Develop modular software frameworks enabling rapid simulation-to-hardware iteration.
• Lead debugging, tuning, and validation on physical robots.

Skills

Control systems

C++ programming

State estimation

Dynamics & kinematics

Sensor integration

Robotics systems

ML/RL enthusiasm

Hardware interfaces

Job description

Genesis AI is seeking an experienced control systems engineer in the San Carlos, CA area to design, implement, and optimize the embedded control stack for general-purpose robots. You will contribute to motion planning, trajectory optimization, and real-time state estimation while integrating hardware and software into robust end-to-end robotic systems.

The role demands 8+ years in control engineering, strong dynamics/kinematics knowledge, and production-grade C++ expertise.