Назад
4 дня назад

Manager, Field Engineering (Physical AI)

157 000 - 231 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Manager, Field Engineering (Physical AI) (AI/ML, automotive, robotics, aerospace): Building and scaling a Physical AI field engineering practice that delivers deployed software for engineering organizations, with an accent on customer delivery, technical leadership, and operating-model design. Focus on leading specialist teams, validating AI solutions against physical constraints, converting customer needs into reusable capabilities, and managing delivery and expansion metrics.

Location: Livingston, NJ; New York, NY; Sunnyvale, CA; or Bellevue, WA. The role requires access to export-controlled information; applicants must be a U.S. person or otherwise eligible for access under U.S. export regulations.

Base salary: $157,000–$231,000 per year, plus discretionary bonus, equity awards, and benefits.

Company

CoreWeave provides cloud infrastructure, technology, tools, and technical expertise for AI labs, startups, and enterprises.

What you will do

  • Build and evolve the Physical AI Field Engineering operating model from opportunity qualification through deployment, adoption, and expansion.
  • Lead, hire, coach, and develop Specialist Field Engineers, Forward Deployed Data Scientists, and Forward Deployed Engineers.
  • Set technical and delivery standards for solutions grounded in engineering criteria, physical constraints, and measurable customer value.
  • Partner with strategic customers in automotive, robotics, aerospace, and industrial engineering, as well as executive stakeholders.
  • Coordinate with Sales, Product, Engineering, Platform, and Field Engineering teams to qualify opportunities and allocate specialist capacity.
  • Establish reusable engagement patterns, delivery standards, technical reviews, field-to-product feedback loops, and operating metrics.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Physics, Mathematics, or a related technical discipline, or equivalent practical experience.
  • 10+ years of experience in technical consulting, field engineering, product engineering, applied AI, or a related customer-facing engineering discipline.
  • 5+ years of experience leading and developing technical teams, including hiring, workforce planning, career development, performance management, and succession planning.
  • Technical depth in AI/ML applied to physical systems or engineering workflows, including data, modeling, validation, and deployment trade-offs.
  • Experience partnering across Product, Engineering, Sales, Marketing, and Field Engineering.
  • Must meet U.S. export-control eligibility requirements for access to controlled information.

Nice to have

  • Experience in automotive, robotics, aerospace and defense, industrial, manufacturing, or another engineering-intensive industry.
  • Experience delivering AI solutions in embedded, on-site, production, or safety-critical environments.
  • Familiarity with ML platforms covering experimentation, model management, data exploration, application development, and cloud deployment.
  • Experience with capacity models, hiring plans, technical career frameworks, delivery KPIs, or portfolio-level planning.
  • Experience turning recurring customer problems into reusable software, product capabilities, or standardized delivery patterns.

Culture & Benefits

  • Medical, dental, and vision insurance fully paid by CoreWeave for eligible U.S.-based full-time employees.
  • Life, disability, mental wellness, family-forming, parental leave, and childcare benefits.
  • 401(k) with employer match, flexible spending and health savings accounts, tuition reimbursement, and employee stock purchase program.
  • Flexible PTO, catered meals at office and data center locations, and a casual work environment.
  • Work culture focused on innovative disruption and building production software for engineering organizations.

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