В Anthropic четко очерчена роль на стыке прикладного ИИ и физической инженерии, а зарплата заметно выше рыночного ориентира. Это сильная возможность для работы над востребованными задачами.
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Зарплата выше рынкаЧеткие задачиНа переднем крае ИИСильные условия
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Текст:
Hirify AI/Оригинал
TL;DR
Applied AI Engineer, Startups (Physical AI) (AI/robotics): Advising physical AI startups on building products and engineering workflows with Claude, with an accent on agent design, evaluation frameworks, scalable architectures, and hardware engineering. Focus on developing prototypes and reference implementations, integrating Claude with CAD and simulation tools, solving physical-system constraints, and guiding customer engineering teams through workshops and architecture reviews.
Location: San Francisco, CA; hybrid attendance in an Anthropic office at least 25% of the time is expected
Annual salary: $280,000–$320,000 USD
Company
Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial.
What you will do
Advise AI-native startups in robotics, semiconductors, aerospace, manufacturing, and civil infrastructure on building products and engineering workflows with Claude.
Partner with software and hardware teams through pair programming, architecture reviews, workshops, and implementation guidance.
Integrate Claude with CAD, simulation, design tools, and industrial automation systems.
Identify recurring challenges in physical AI, including drawings, 3D geometry, board layout, routing, GD&T, latency, on-premise constraints, and physical safety.
Collaborate with Applied AI Architects and Anthropic’s Product, Engineering, and Research teams, while contributing to technical content and startup events.
Requirements
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, ML, research, robotics, controls, hardware, or systems engineer, or as a technical founder.
Production experience building LLM-powered applications with prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, or experience applying AI to engineering work.
Experience with startups or high-growth companies and the ability to work effectively with founders and small teams.
Strong technical communication skills for translating AI concepts into architectural decisions and implementation plans for software and hardware audiences.
Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.
Culture & Benefits
Collaborative work across research, engineering, product, policy, and business teams.
Flexible working hours and an office environment designed for collaboration.
Generous vacation and parental leave.
Competitive compensation and optional equity donation matching.
Visa sponsorship is available, with reasonable efforts and immigration-lawyer support for successful candidates.
Travel to customer sites for workshops, implementation guidance, and relationship building.
Hiring process
Applications are evaluated based on relevant technical experience and demonstrated qualifications.
Candidates should follow Anthropic’s policy for AI usage during the application process.
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