Amazon
Physical AI Lab Manager & Manufacturing Tech Lead, Industry Specialist & Solutions, Auto & Manufacturing
$131K–$178K
Seattle, WA · Manager · Full-time · Posted Oct 30, 2026
- Experience
- 2+ years in applications and infrastructures; 4+ years in specific technology domains; 10+ years in IT development or implementation/consulting in software or Internet industries. Also requires relevant industrial, manufacturing, or warehouse environment experience; no duration stated.
About the job
Leads AWS’s Seattle Physical AI Lab and Manufacturing Technical Field Community, building customer prototypes and solutions and publishing reusable technical assets for automotive and manufacturing customers.
What you'll do
- Build and operate the lab, including hardware, networking, AWS environments, safety, security, maintenance, and project intake.
- Develop and deliver customer proofs of concept, demos, and lab sessions; coordinate hardware and software partner integration.
- Lead the Manufacturing TFC by organizing community activities, managing builder projects, and prioritizing technical assets and enablement.
What they ask for
- 2+ years of design, implementation, or consulting in applications and infrastructures experience.
- 4+ years of experience in specific technology domains, such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics.
- 10+ years of IT development or implementation/consulting in the software or Internet industries.
- Relevant experience working in an industrial, manufacturing, or warehouse environment.
Nice to have
- Experience migrating or transforming legacy customer solutions to the cloud.
- Knowledge of Physical AI, Robotics, Industrial Automations.
Pay
131,300.00 - 177,600.00 USD annually (base salary)
Tools
robots, cobots, sensors, edge devices, PLCs, AWS
AI focus
Build Physical AI prototypes and customer solutions, demos, and proofs of concept for automotive and manufacturing; the team mission includes digitally transforming workloads using cloud and AI.
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