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Principal Robotics Engineer

147 760 - 240 110$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
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 Robotics Engineer (Robotics/AI): Building and deploying autonomy components for large off-road machines across perception, planning, control, and learning with an accent on production robotics, real-world hardware, and full-lifecycle ownership. Focus on taking autonomy software from prototype to production, integrating learning-based methods with classical robotics, and deploying systems on vehicles and at customer sites.

Location: Irving, Texas (Dallas); onsite five days a week. Domestic relocation assistance is available. Visa sponsorship is not available.

Salary: $147,760–$240,110 per year

Company

hirify.global develops heavy machinery and technology that connects machines, data, and people through software, connectivity, autonomy, and AI.

What you will do

  • Design, build, and ship autonomy components across perception, planning, control, and learning.
  • Take robotics work from prototypes through production deployment on real hardware.
  • Contribute across the full autonomy stack while applying deep expertise in a specialty area.
  • Participate in robotics software test review, analysis, witnessing, and certification.
  • Deploy and evaluate software on real off-road machines and customer job sites.

Requirements

  • Typically 10+ years of related engineering experience.
  • Production-quality C++ and Python programming skills.
  • Experience with ROS or a similar framework in real robotics systems.
  • Deep expertise in at least one area: AI, motion planning, perception, controls, or SLAM.
  • Full-lifecycle product experience taking robotics systems from idea to production.
  • Ability to work onsite full-time at the Irving, Texas office five days a week.

Nice to have

  • Experience with field robotics or autonomous vehicles, especially off-road systems.
  • Learning-based control or perception, foundation models, or VLA-style models.
  • Simulation and on-vehicle deployment experience.
  • MLOps and training-infrastructure experience.

Culture & Benefits

  • Medical, dental, and vision benefits.
  • Paid vacation, holidays, and volunteer time.
  • 401(k), HSA, and FSA plans.
  • Career development, tuition reimbursement, and incentive bonus opportunities.
  • Life, disability, parental leave, adoption, and employee assistance benefits.

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