Robotics Hardware Engineer - Build Reliable AI Systems

Genesis AI; San Carlos (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Genesis AI in California is seeking a hardware-focused engineer to design, prototype, and build robotic systems optimized for performance and reliability. You will collaborate with robotics engineers to develop scalable data collection platforms that accelerate model learning.

You’ll improve simulation fidelity through system identification and work with the simulation team, while maintaining in-house hardware infrastructure for maximum uptime and throughput.

Qualifications

• Strong engineering fundamentals and first-principles problem solving.
• Independent ownership and initiative to solve problems.
• Experience across diverse hardware form factors and platforms.
• Systems-level mindset with focus on robustness and integration.
• Track record of shipping fast without compromising quality.
• Bonus: hands-on actuators, PCB design, embedded systems or electromechanical integration.

Responsibilities

• Design, prototype, and build robotic hardware systems optimized for performance and reliability.
• Develop scalable data collection platforms with robotics engineers to accelerate model learning.
• Improve simulation fidelity through system identification and close collaboration with the simulation team.
• Maintain and evolve in-house hardware infrastructure for maximum uptime and throughput.
• Collaborate with a team of driven individuals committed to building general-purpose Physical AI.

Skills

First-principles thinking

Ownership

Hardware platforms

Systems-level mindset

Robotics hardware

Quality-first delivery

Tools

PCB design

Job description

Genesis AI in California is seeking a hardware-focused engineer to design, prototype, and build robotic systems optimized for performance and reliability. You will collaborate with robotics engineers to develop scalable data collection platforms that accelerate model learning.

You’ll improve simulation fidelity through system identification and work with the simulation team, while maintaining in-house hardware infrastructure for maximum uptime and throughput.