Backed by Norwest and USV.
About the role
Develop wearable data collection devices capable of dexterous manipulation, from concept design through mass-production. Design and manufacture robot hands that include custom structures, actuators, as well as integration of cameras, IMUs, encoders, and additional sensors.
What they're looking for
- Strong experience in design of tightly integrated electro-mechanical systems
- Fluency in CAD modeling (Solidworks), PDM, FEA, and physics-driven analysis
- Leadership in driving a project from conceptual design through mass production
- Injection molding, overmolding, machining, additive manufacturing, actuator assembly, and/or electronics manufacturing experience is beneficial
- 10+ years of education/experience in relevant mechanical / electro-mechanical design
- Strong communication skills, and a commitment to building a respectful and collaborative environment
More about this role
About Generalist
At Generalist, we are on a mission to build general intelligence for the physical world and make it useful to everyone. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done.
We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world.
The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs—with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, RT-2 , Gemini Robotics ), launched and scaled ChatGPT and GPT-4 to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots ( Atlas , Spot , Stretch ) and pushed the limits of what they can do (from parkour to manipulation , and testing robustness ).
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