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5 часов назад

Robotic Welding Engineer

169 000 - 193 000$
Формат работы
onsite
Тип работы
fulltime
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
Robotic Welding Engineer (AI Infrastructure Manufacturing): Own robotic weld cells and develop production weld programs for structural steel assemblies with an accent on GMAW parameters, sequencing, distortion control, and weld quality. Focus on commissioning new cells, increasing first-pass yield through data-driven parameter optimization, and solving penetration and rework issues in heavy weldments.

Location: On-site in Austin, TX; New York, NY; San Francisco, CA; or Seattle, WA

Salary: $169,000–$193,000 per year, plus equity

Company

hirify.global builds and operates large-scale compute infrastructure for frontier AI, including power systems and data centers.

What you will do

  • Own robotic weld cells, including programming, fixturing interfaces, and weld quality at production rates.
  • Develop weld procedures, parameters, and sequencing for structural steel assemblies while controlling distortion.
  • Commission new robotic cells with integrators and move them from acceptance to production rate.
  • Use production data to improve first-pass yield and reduce rework at the parameter level.
  • Partner with quality teams on inspections and corrective actions.

Requirements

  • Production experience programming and operating robotic welding systems, beyond laboratory work.
  • Deep knowledge of GMAW parameters, transfer modes, and arc behavior.
  • Experience solving distortion and penetration problems on heavy weldments.
  • Ability to follow WPS discipline and write welding procedures.
  • Ability to work on-site in one of the listed US locations.

Nice to have

  • Familiarity with AWS D1.1.
  • Experience with Fanuc, ABB, or Yaskawa arc packages.
  • Offline programming experience.
  • Experience providing fixture design input.

Culture & Benefits

  • Full-time employment with base salary, equity, and benefits.
  • High-autonomy environment with end-to-end ownership.
  • Fast-paced, high-intensity work focused on AI infrastructure.
  • First-principles decision-making and emphasis on solving complex technical problems.
  • Commitment to pay equity and compensation transparency.

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