Robotics Hardware Engineer for Physical AI Systems

Genesis AI

United States

Hybrid

USD 120,000 - 150,000

Full time

14 days+

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Job summary

Genesis AI is seeking a skilled hardware engineer to design, prototype, and build robotic systems optimized for performance and reliability. You will work with robotics engineers to develop scalable data collection platforms and improve simulation fidelity through system identification.

Join a team focused on hardware robustness, uptime, and seamless integration across diverse platforms, including actuators, PCB design, embedded systems, and electromechanical integration.

Qualifications

  • Strong engineering fundamentals and first-principles problem solving.
  • Exceptional ownership and initiative—finding and solving problems independently.
  • Broad experience across diverse hardware form factors and platforms.
  • Systems-level mindset with a focus on robustness, scalability, and seamless integration.
  • Track record of shipping fast without cutting corners on quality.
  • Bonus: hands-on experience with 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

Engineering fundamentals
Ownership and initiative
Hardware experience
Systems thinking
Quality and speed
Actuators
PCB design
Embedded systems
Electromechanical integration

Job description

Genesis AI is seeking a skilled hardware engineer to design, prototype, and build robotic systems optimized for performance and reliability. You will work with robotics engineers to develop scalable data collection platforms and improve simulation fidelity through system identification.

Join a team focused on hardware robustness, uptime, and seamless integration across diverse platforms, including actuators, PCB design, embedded systems, and electromechanical integration.

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