Full-Time

Software Engineer Product

Generalist

Generalist

51-200 employees

Develops embodied AI robotics platform

Compensation Overview

$200k - $350k/yr

Somerville, MA, USA + 1 more

More locations: San Mateo, CA, USA

In Person

Category
Software Engineering (1)
Required Skills
FastAPI
React.js
Postgres
TypeScript
AWS
REST APIs
Robotics

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Requirements
  • Strong intuitions for creating effective user interfaces and user experiences.
  • Understanding of modern web stack technologies including TypeScript, React, FastAPI, Postgres, and Amazon Web Services.
  • Ability to manage and leverage modern artificial intelligence coding agents while maintaining high-quality production standards.
Responsibilities
  • Craft external and internal application programming interfaces that customers and partners use to access Generalist systems.
  • Build tools and workflows that enable and accelerate the core missions of researchers, engineers, and operations partners across the company.
  • Build the primary web application used by researchers, operations personnel, and deployment teams to evaluate and train robot models.
  • Spend approximately one quarter of the time with customers learning about their use cases and distilling product requirements, then implement those product ideas.
  • Work across web user interfaces, application programming interfaces, hardware appliances, robot interfaces, and human processes.

Generalist AI builds embodied foundation models to power robots that can understand and physically interact with the world. Its GEN-0 model is trained on massive real-world robot manipulation data to learn visuomotor control and dexterous sensorimotor policies for complex tasks, including bi-manual manipulation. The company relies on industrial-scale data collection from real interactions rather than simulations and provides internal tools to visualize and search its data space. By combining AI and robotics expertise with a data-first training approach, Generalist AI aims to deploy broadly capable robots across industries and homes to enable humans and machines to work together.

Company Size

51-200

Company Stage

Early VC

Total Funding

$528M

Headquarters

San Mateo, California

Founded

2024

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Simplify Jobs

Simplify's Take

What believers are saying

  • June 4, 2026, Generalist raised $400 million at a $2 billion valuation.
  • 8VC is reportedly leading a July 2026 round targeting a $3 billion valuation.
  • July 21, 2026, Elite Robots validated GEN-1 on 1,800 block stackings and 200 folds.

What critics are saying

  • Physical Intelligence and Skild AI dwarf Generalist, pressuring pricing, hiring, and talent.
  • GEN-1 still needs task-specific adaptation; one-hour tuning blocks fast enterprise deployment.
  • A failed factory rollout before 2027 kills the embodied-foundation-model thesis and future funding.

What makes Generalist unique

  • Pete Florence, Andy Barry, and Andy Zeng combine DeepMind, OpenAI, and Boston Dynamics.
  • GEN-1 trains on over 500,000 hours of real manipulation data, not simulation.
  • July 23, 2026, GEN-1 supports many end effectors across hardware, from hands to tools.

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Growth & Insights and Company News

Headcount

6 month growth

-7%

1 year growth

-14%

2 year growth

-7%
Business Insider
Jul 29th, 2026
Robotics startup Generalist AI is in talks to raise a new funding round at a $3 billion valuation

Venture firm 8VC is expected to lead the round as investors pour money into physical AI.

PR Newswire
Jul 21st, 2026
Elite Robots partners with Generalist AI on embodied foundation model achieving 99% task success rate

Elite Robots has collaborated with US-based AI startup Generalist AI on the development of GEN-1, an embodied foundation model achieving a 99% task success rate and a 3x speed increase. Generalist AI, founded by former Google DeepMind scientists and backed by NVIDIA NVentures, used Elite Robots' cobot platform for real-world data collection and algorithm validation. The collaboration delivered industrial-grade performance with over 1,800 block stackings and 200 box foldings without intervention, backed by 100,000-hour MTBF and ±0.02mm repeatability. The platform's smooth servo control accelerated model iteration whilst maintaining predictable physical interactions. Elite Robots provides 24/7 technical support through its global network to support ongoing research and commercial deployment of embodied AI solutions.

8VC
Jun 4th, 2026
Generalist raises $400M to build robot foundation models for physical dexterity

Generalist, a robotics AI startup training foundation models across multiple robot types and tasks, has raised $400 million in new funding. The company aims to build general-purpose robot intelligence that can outperform task-specific systems, similar to how large language models succeeded in software. The startup focuses on solving robotic dexterity, which founders consider the hardest unsolved problem in robotics and the clearest path to commercial value. Generalist was founded by Pete Florence, former DeepMind senior scientist and author of influential papers including PaLM-E and RT-2, alongside Chief Scientist Andy Zeng and CTO Andrew Barry from Boston Dynamics. The founding team combines researchers from DeepMind, OpenAI and Boston Dynamics. Early results show rapid adaptation to new robots and tasks with strong sample efficiency and commercial traction.

Ars Technica
Apr 6th, 2026
Generalist's GEN-1 AI hits 99% success rate on robotic manipulation tasks

Generalist has announced GEN-1, a physical AI system that achieves 99 per cent success rates on delicate mechanical tasks like folding boxes and packing phones, operating roughly three times faster than its predecessor. The model can respond to disruptions by improvising new moves, such as shaking a bag to position objects or refolding shirts that shift mid-task. It reaches production-level performance after just one hour of adaptation to specific robotic hardware. Generalist trained the system using over 500,000 hours of data captured through wearable "data hands" that record human manipulation of objects. The company says GEN-1 represents a GPT-3-style inflection point for physical robotics, where models can now perform economically useful work across increasingly complex tasks without explicit programming for error recovery.

Forbes
Apr 2nd, 2026
Generalist Is Betting Its Robot-Training Gloves Will Usher In Robotics’ ChatGPT Moment

Generalist Bets Wearable “Data Hands” Could Spark Robotics’ ChatGPT Moment