You will build Vesoma’s hands development group from the ground up. Starting as its first member, you will define how our humanoids manipulate the world: what we buy, what we build, and how hand hardware and learning-based control come together on our platform.
In the near term you will get capable third-party hands running reliably on our robots so that development and deployment are never blocked. In parallel you will set the technical direction for our own dexterous hands, build the team that develops them, and take the first in-house generations from concept to robust, deployable hardware.
Key responsibilities
In the near term you will get capable third-party hands running reliably on our robots so that development and deployment are never blocked. In parallel you will set the technical direction for our own dexterous hands, build the team that develops them, and take the first in-house generations from concept to robust, deployable hardware.
Key responsibilities
- Own the hands engineering roadmap. Make and defend the build-versus-buy decisions, define the architecture for in-house hands, and plan the path from first prototypes to a product that holds up in real deployments.
- Build and lead the team. Hire the first engineers across mechanical design, actuation, sensing and embedded electronics, and set up the processes, tooling and test infrastructure the group needs to move fast without cutting corners.
- Drive the design of our own hands, including kinematics, actuation and transmission concepts, tactile and proprioceptive sensing, and the electrical and communication interfaces to our control and software stacks. Design for robustness, serviceability and manufacturability from the start.
- Bridge the gap with external hardware. Evaluate the global ecosystem of robotic hands, select and manage suppliers, and lead the mechanical and electrical integration of third-party end-effectors until our own hardware takes over.
- Establish validation as a core discipline. Develop test rigs, benchmarks and endurance protocols that measure precision, force, duty cycle, durability and real-world task performance, and use the results to drive design decisions.
- Work closely with our AI team so that hand hardware fits our learning-based approach, with attention to sensing quality, backdrivability, contact robustness and transfer from simulation to reality.
- Bring safety into the design early, in line with the standards work our company helps shape.