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Generalist in San Francisco is hiring a Hardware Engineer to own electrical systems end-to-end for our robots, from concept sketches to schematic, layout, bring-up and production. You will design custom hardware behind cameras, sensors, and motor control powering our foundation models.
This is a full-stack EE role. You will prototype sensor modules, debug MIPI signal integrity, write firmware, and drive parts through DFM and certification while collaborating with mechanical and software teams
Robots that learn from the world need hardware that can see, sense, and act within it. As a Hardware Engineer at Generalist, you will own electrical systems from end-to-end: from napkin sketch of concepts to schematic, layout, bring-up, and production. You’ll be responsible for custom hardware behind the cameras, sensors, and motor control that power our robots and the foundation models behind them.
This is a full stack EE role. In a typical week, you may be prototyping new sensor modules and motor controls, debugging MIPI signal integrity on the bench, writing firmware for a microcontroller, working with a contract manufacturer to push a design through DFM and certification, and managing rollout of new hardware designs to the robot fleet. You will collaborate daily with mechanical engineers on packaging, thermals, and integration; and with software engineers on drivers, interfaces, and system performance.
At Generalist, we are on a mission to make general-purpose robots a reality. 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).
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.