About the role
About
the Role This is a customer-facing product engineering role with many PM-like
responsibilities. You will build the applications that customers, deployment partners, researchers, and other internal teams will use to diagnose, teach, QA, and run our robots. You will spend 1/4 of your time with customers learning about their use cases and distilling product
requirements. You'll then be one of the key people responsible for implementing those product ideas. Today, the product surface areas are web UIs, APIs, hardware appliances, robot interfaces, and human processes. You'll be expected to seamlessly work across all parts of the stack. You’ll be responsible for: Crafting external and internal API interfaces that customers and partners interface with to access Generalist systems Building the tools and workflows that enable and accelerate the core missions of researchers, engineers, and operations partners company-wide. The primary web application researchers, ops, and deployments use to evaluate and train robot models You might thrive in this role if you: Have strong intuitions for what makes for great user interfaces, and user experiences Understand modern web stack technologies: Typescript, React, FastAPI, Postgres, AWS Understand how to expertly manage and leverage modern AI coding agents to accelerate development while maintaining high quality production standards About Generalist 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.
