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17 часов назад

Principal Applications Engineer (Robotics)

140 000 - 200 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Applications Engineer (Robotics): Designing and delivering integrated automation solutions combining conveyors, sorting machines, robots, and related equipment with an accent on system performance, reliability, and cross-functional technical ownership. Focus on validating system simulations, certifying site performance after go-live, resolving discrepancies between design metrics and actual results, and developing scalable integration practices.

Location: Bedford, Massachusetts, United States

Base salary range: $140k–$200k per year

Company

AI-powered robotic solutions automate fulfillment, supply chain, and logistics operations across pick, pack, move, and sort workflows.

What you will do

  • Represent product engineering throughout the project lifecycle, from pre-sales system design through implementation and customer handoff.
  • Design and refine system-level solutions combining conveyors, sorting machines, robots, and other automation equipment.
  • Analyze system performance, identify risks, and develop mitigation strategies for reliable and robust operation.
  • Manage simulations for systems ranging from individual features to complete building-scale installations.
  • Certify that sites meet design specifications after go-live and identify discrepancies between SOW metrics and actual performance.
  • Onboard customers, WMS providers, and integration partners while building design guides, best-practice libraries, and integration documentation.

Requirements

  • Bachelor’s or master’s degree in mechanical or electrical engineering, computer science, mathematics, physics, or a related field.
  • At least 5 years of experience in industrial automation, materials-handling equipment, industrial engineering, or a similar field.
  • Ability to make informed design decisions in capital-intensive programs across different time scales.
  • Strong understanding of operations and manufacturing concepts, including rate, throughput, buffer, MTBF, MTTR, OEE, and time studies.
  • Strong understanding of network design, topology, and graph theory.
  • Ability to lead and manage complex engineering projects while delivering high-quality results.
  • Excellent communication skills for conveying complex technical concepts to diverse audiences.
  • Ability to work independently in cross-functional teams and manage multiple priorities.

Culture & Benefits

  • Work with AI-powered robotic solutions for the supply chain and logistics industry.
  • Innovation- and collaboration-focused environment.
  • Professional development and growth opportunities.
  • Competitive compensation and comprehensive benefits package.

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