1X
Tactile Sensing Research Engineer
About this role
1X is seeking a Tactile Sensing Research Engineer to advance touch-sensing capabilities for humanoid robots. You'll develop next-generation tactile systems through iterative design, testing, and refinement cycles, ultimately enabling robots to manipulate objects and interact with environments at human-level proficiency.
What you'll do
- Design, fabricate, and test successive generations of tactile sensing systems with measurable performance improvements
- Establish benchmarking methodologies to evaluate sensing performance against human tactile capabilities and competing technologies
- Identify and overcome fundamental limitations in sensing architectures, materials, and transduction approaches
- Conduct rigorous experimental validation to guide research decisions and technology selection
- Transition tactile sensing concepts into viable designs for integration with robotic manipulation systems
What they're looking for
- Tactile sensing and sensor systems expertise
- Materials science and mechanics knowledge
- Electronics and system integration
- Hands-on prototyping and fabrication
- Experimental design and measurement methodology
- Soft or bio-inspired materials experience
- Custom experimental apparatus design
- Robotic manipulation familiarity
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
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 tactile sensing technology you've developed from concept through multiple generations—what fundamental performance limits did you identify and how did you overcome them?
- Describe your experience designing and running experimental benchmarking setups. How do you ensure measurement quality and repeatability when characterizing sensor performance?