1X
Open Call – Research Engineer / Scientist
San Carlos, CA$250k–$300kfulltimemidAdded 1 month ago
About this role
1X is seeking research engineers and scientists to advance humanoid robot capabilities toward human-level performance. You'll bring your own ambitious technical ideas and translate them from concept through prototypes to production-ready systems for NEO, their flagship home robot.
What you'll do
- Develop and validate technologies that advance humanoid performance in sensing, actuation, control, AI, or related fields
- Design and conduct rigorous experiments to demonstrate measurable improvements and benchmark progress
- Transform novel research concepts into working prototypes and systems ready for real-world evaluation
- Identify and solve fundamental technical bottlenecks limiting current robotic capabilities
- Bridge research breakthroughs with practical manufacturing and product constraints
What they're looking for
- Deep expertise in robotics, AI, controls, sensing, or actuation
- Experience building and validating physical systems
- Cross-disciplinary reasoning across adjacent technical fields
- Independent ideation and execution of ambitious technical projects
- Rigorous experimentation and evidence-based problem solving
- Comfort with ambiguous environments and minimal structure
- Technical depth in materials science, biomechanics, or manufacturing (preferred)
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1X
1X builds humanoid robots for home use, with its NEO robot requiring sophisticated hardware, firmware, and cloud systems. The company is hiring across compliance testing, audio systems, embedded firmware, cloud platform development, and supplier engineering to bring its robots to production and scale.
View all jobs at 1XLikely interview questions
- Walk us through a technical problem you've identified in humanoid robotics or a related field—what's the capability gap, and what's your credible path to closing it?
- Tell us about a time you took an ambitious technical idea from early concept through working prototype or publication. What were the key bottlenecks and how did you overcome them?