# Applied AI Engineer, Startups (Physical AI)

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $280,000-$320,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5454673008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5f412177-238

## Description

As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor to top AI-native startups building in the physical world, across robotics, semiconductors, aerospace, manufacturing, and civil infrastructure.

You'll lead deep technical engagements, partnering directly with startup software and hardware engineering teams to help them build their products on Claude and run their own engineering with it, advising on implementation and agent design as they build what is newly possible with AI in the physical world.

## Responsibilities

- Serve as a deep technical advisor to high-potential startups building in the physical world, whether Claude sits inside the product they sell or inside the way they design, test, and run their own hardware.

- Work hands-on with startup software and hardware teams through pair programming and architecture reviews that accelerate their development.

- Develop prototypes and technical documentation, including evaluation suites, benchmarks grounded in real engineering tasks, AI engineering techniques, and architecture diagrams.

- Create reference implementations and sample code that many companies can adopt without starting from scratch.

- Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements.

- Identify patterns across engagements and build repeatable evaluations and solutions.

- Create technical content for startup audiences including documentation, tutorials, and sample code.

- Foster community engagement through hackathons, webinars, technical office hours, and startup-focused events.

- Travel to customer sites for workshops, implementation guidance, and relationship building.

## You may be a good fit if you have

- Deep engineering experience in a physical discipline such as mechanical, electrical, aerospace, robotics, semiconductor, manufacturing, or civil engineering.

- 4+ years of technical experience as a software engineer, ML or research engineer, robotics or controls engineer, hardware or systems engineer, or technical founder.

- Experience with startups or high-growth companies and a love of working with founders and small teams that move quickly.

- Strong technical communication skills, with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans.

- A collaborative approach to working across teams, the range of a generalist who can context-switch from robots to chips to rockets to factories and get up to speed on a new domain quickly.

The annual compensation range for this role is $280,000-$320,000 USD.

## Skills

### Required
- AI engineering
- software engineering
- ML
- research engineering
- robotics
- controls engineering
- hardware engineering
- systems engineering

### Nice to have
- startups
- high-growth companies
- technical communication
- collaborative approach

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5454673008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)