Integration Engineer - Hands
1X Technologies · San Carlos, CA
Roboticsonsitesenior$125k–$221k
At a glance
Highlights
- Build and own tests proving NEO's dexterous hands work before they ship.
- Help ship NEO, a home humanoid robot that does chores alongside people.
- Turn hand failures into root-cause answers driving design and process fixes.
What they offer
- Comprehensive medical, dental, and vision coverage
- Generous paid time off, company holidays, and parental leave
- 401(k) plan with company match (100% on the first 3% of contributions, 50% on the next 2%)
- Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) options
- Commuter benefits (transit and parking)
- Short-term and long-term disability, and life insurance
- Employee Assistance Program (EAP) for mental health, financial, and personal support
- Onsite snacks and catered lunches
- Offers Equity
Ideal candidate
A builder with 5+ years in hardware test who owns their work and moves fast. You love digging into electromechanical failures with data and collaborating across teams to ship reliable home robots.
Requirements
- Bachelor's degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Computer Engineering, or a related field
- 5+ years of professional experience in hardware test, validation, or manufacturing test engineering
- Experience writing software for test and test automation, including pass/fail test scripts, data logging, and plotting
- Strong electromechanical fundamentals: motors (FOC basics, torque, current, back-EMF), encoders, gearing, and friction
- Comfort working in Linux, including SSH, process and service management, and troubleshooting disks and networks
- Hands-on bench experience
- Working knowledge of Git, including branching, keeping branches up to date with main, and opening clean merge requests
Lab profile
About 1X Technologies
Building safe humanoid robots for home chores backed by embodied AI research.
What they build
- Humanoid robots for home use
- Foundation models for embodied intelligence
Known for
- Safe humanoid hardware design
- Embodied AI and robot learning
- World model pretraining
- Physics simulation and dynamics
Key facts
- Founded in 2014
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