Genesis AI - Staff Mechanical Engineer

openreqstaffing; San Carlos (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Genesis is seeking a Staff Mechanical Engineer to design, prototype, and deploy robotic hardware across Bay Area and Paris projects.

You will collaborate across teams to elevate hardware reliability, performance, and data-driven learning while shaping the next generation of Physical AI systems.

Qualifications

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

Responsibilities

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

Skills

Hardware design

Systems thinking

Ownership

Robotics

Problem solving

Tools

PCB Design

Embedded Systems

Actuators

Electromechanical Integration

Job description

Staff Mechanical Engineer (Bay Area / Paris)

Company

Genesis is a global physical AI lab and full-stack robotics company. We build generalist robots to unlock unlimited physical labor, allowing humans to focus on creativity, curiosity, and what they love. We recently raised a $105M Seed round backed by Khosla Ventures and Eclipse, and we’re looking to expand our software and hardware teams rapidly.

What You’ll Do

• 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

What You’ll Bring

• 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