Software Engineer: Frontend
Frontend engineer at Generalist building the web interfaces for its robotics foundation-model platform — robot monitoring, data exploration, model training/evaluation, and operator tooling. Day to day: TypeScript/React app development, interactive telemetry/video visualizations, and design-system and frontend architecture work.
- Compensation
- Not disclosed
- Location
- San Francisco Bay Area (San Mateo) or Boston (Somerville)
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Frontend
- Posted
Skills
Must have
- Experience shipping and maintaining production web applications using TypeScript, React, and modern frontend tooling
- Strong opinions around shared component libraries and UI patterns, with judgment on what to standardize
- Strong frontend architecture fundamentals: clear component boundaries, explicit application state, simplifying complex code
- Experience managing asynchronous data and user interactions, including handling background updates, slow requests, and failures
- Clear communication and a collaborative approach working across engineering, design, and product
Nice to have
- Experience building tools for robotics, AI, scientific computing, or other technically complex domains
- Experience with real-time interfaces, streaming data, or event-driven systems
- Experience keeping data-intensive interfaces fast (large tables, interactive visualizations, videos)
- Experience consolidating UI patterns and incrementally modernizing an existing frontend while shipping improvements
- Excitement around frontend developer tooling, such as component previews or end-to-end/browser tests
- Experience with browser performance profiling, frontend observability, and automated testing
Full description
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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).
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.
We’re looking for a Frontend Engineer to build the interfaces that make advanced robotics intuitive and useful. Your work will help researchers understand model behavior, operators manage robot fleets, and customers build with our foundation model.
You’ll own frontend development from early prototypes to production applications, working closely with design, product, and infrastructure teams. This role combines strong engineering fundamentals with thoughtful product judgment: you should care as much about how an interface feels as how it is built.
What You’ll Do
- Build web applications for robot monitoring, data exploration, model training and evaluation, and internal tooling.
- Turn complex technical requirements into clear, responsive interfaces that help users make decisions and take action.
- Develop interactive visualizations for robot telemetry, video, experiment results, and system health.
- Shape frontend architecture that makes complex workflows easy to understand, test, and extend as the product grows.
- Establish a cohesive design system across our research platform and robot operator interfaces, with shared components, styles, and interaction patterns.
- Work directly with researchers, operators, and customers to understand their workflows, test ideas, and improve the product based on feedback.