Drimva

Anthropic

Applied AI Engineer, Startups (Physical AI)

$280K–$320K

San Francisco, CA +1 · Full-time · Posted Oct 15, 2026

Location
San Francisco, CA
San Francisco, California, United States
Experience
4+ years of technical experience; the posting also says required years correlate with internal job level requirements.
Education
Bachelor’s degree or an equivalent combination of education, training, and/or experience; a field relevant to the role.
Visa sponsorship
Visa sponsorship is available, but not for every role or candidate; Anthropic says it will make reasonable efforts to obtain a visa for candidates it offers.

About the job

Advise physical-world startups on building products and engineering workflows with Claude, and develop reusable evaluations, architectures, prototypes, and technical resources.

What you'll do

  • Lead technical engagements with startup software and hardware teams, including pair programming, architecture reviews, and implementation guidance.
  • Develop prototypes, evaluation frameworks, benchmarks, reference implementations, sample code, and technical documentation for physical AI applications.
  • Identify recurring challenges, share insights with Anthropic teams, and support startup communities through events and technical content.

What they ask for

  • Deep engineering experience in a physical discipline, gained by designing, building, or operating real hardware.
  • 4+ years of technical experience in a listed engineering, research, or founder role, plus either production LLM application experience or a track record applying AI to real engineering work.
  • Experience with startups or high-growth companies.
  • Strong technical communication skills and ability to run workshops, hackathons, or developer-focused events.

Pay

$280,000 — $320,000 USD (base salary)

Tools

Claude, Claude Code, CAD

AI focus

Help startups apply Claude and agentic AI to physical engineering, including product development, design, simulation, testing, production, and operations; build evaluations and scalable architectures for these applications.

Model-written summary · the original posting is authoritative

First seen Oct 16, 2026 · Last verified Nov 5, 2026 (UTC)