
Posted 3 months ago
Software Engineer: Applications
AI Summary
Builds web and API tooling for researchers, engineers, and operations to diagnose, train, QA, and run robot systems; focuses on delivering user-friendly interfaces and production-ready applications.
About this role
About the Role
You will build the applications that customers, deployment partners, researchers, and other internal teams will use to diagnose, teach, QA, and run our robots.
This is modern full-stack web and API engineering in an AI-augmented world.
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.
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