Назад
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4 часа назад

Senior Robotics Engineer

112 710 - 183 140$
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

Текст:
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TL;DR
Senior 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-quality robotics software and real-hardware deployment. Focus on taking components from prototype to production, integrating learning-based methods with classical robotics, and operating autonomous systems on real customer sites.

Location: Full-time onsite in Irving, Texas (Dallas), five days per week. Domestic relocation assistance is available.

Salary: $112,710.00–$183,140.00 per year

Company

Building technology that connects machines, data, and people through software, connectivity, autonomy, and AI to improve safety, productivity, and sustainability on real-world jobsites.

What you will do

  • Design, build, test, and ship autonomy components across perception, motion planning, control, and learning.
  • Take robotics components from prototypes through production deployment on real hardware.
  • Participate in robotics software test reviews, analysis, witnessing, and certification.
  • Contribute across the autonomy stack while providing depth in at least one specialty.
  • Deploy and operate software on real off-road machines and customer sites.
  • Work in small, outcome-owning engineering pods.

Requirements

  • Typically 5+ years of related engineering experience.
  • Strong robotics generalist skills with expertise in at least one of AI, motion planning, perception, controls, or SLAM.
  • Production-quality C++ and Python programming skills.
  • Experience with ROS or a similar robotics framework in real systems.
  • Full-lifecycle product experience, from idea and prototyping through production.
  • Experience with real-world or field robotics, autonomous vehicles, simulation, or on-vehicle deployment.

Nice to have

  • Learning-based control or perception experience.
  • Experience with foundation or VLA-style models.
  • MLOps and ML training-infrastructure expertise.

Culture & Benefits

  • Medical, dental, and vision benefits.
  • Paid time off, holidays, and volunteer time.
  • 401(k), HSA, and FSA plans.
  • Career development, tuition reimbursement, and incentive bonus opportunities.
  • Life, disability, parental leave, and adoption benefits.
  • Visa sponsorship is not available.

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