Mechanical Engineer, Sensing
OpenAIAbout the Team
Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives.
About the Role
We are seeking a Mechanical Engineer to design and prototype novel tactile, proprioceptive and force sensor solutions. You will work closely with experienced engineers and cross-functional partners to set functional requirements, develop and iterate on hardware to meet program expectations.
This role is aimed at candidates with strong fundamentals in mechanical system design and robotic sensing including tactile sensors, force sensing and position sensing. You will contribute to real hardware programs moving from prototype through early production. You will lead both new sensor subsystem development and ongoing improvements to existing systems based on testing, field performance, and manufacturing feedback.
This role is based in San Francisco, CA, and requires in-person presence 4 days a week.
In this role, you will
Lead the design and iteration of mechanical subsystems, including tactile sensors, load cells, force torque sensors and joint encoders.
Create and maintain CAD models, assemblies, and drawings with appropriate tolerancing and documentation.
Build and test prototypes, supporting debugging of mechanical issues such as fit, alignment, friction, and wear.
Assist in developing test methods and executing validation to evaluate performance, durability, calibration and failure modes.
Work with cross-functional teams to integrate mechanical components with sensors, actuators, and control systems.
Support transition of designs from prototype to manufacturable assemblies, incorporating DFM and DFA considerations.
Collaborate with manufacturing partners and internal build teams to support assembly, troubleshooting, and process improvement.
Analyze test results and field data to identify issues and drive iterative design improvements.
Document designs, test results, and changes to support repeatability an