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Robotics Engineer

128 880 - 193 320$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Robotics Engineer (Robot Learning/Simulation): Building complete control stacks, sim-to-real pipelines, and GPU-accelerated simulation infrastructure for manipulation and mobile robotic systems with an accent on learned policies, system identification, and real-hardware deployment. Focus on translating research algorithms into reliable robotic behavior, debugging complex hardware-software interactions, and enabling large-scale experimentation.

Location: Seattle, Washington, United States; expected to work from the Seattle offices

Base salary: $128,880–$193,320 per year, plus bonus plans.

Company

hirify.global is a Seattle-based nonprofit AI research institute developing open-source foundational AI research and applications in robotics, large models, data, and conservation.

What you will do

  • Develop and maintain complete control stacks covering low-level control, motion planning, learned policies, and hardware integration.
  • Build and maintain sim-to-real pipelines, including system identification, simulation modeling, and policy deployment to real robots.
  • Set up, integrate, calibrate, and tune manipulation and mobile robotic platforms.
  • Diagnose complex behaviors across hardware, software, and runtime systems.
  • Collaborate with researchers to translate algorithms into reliable real-world robotic behavior.
  • Use GPU-accelerated simulation frameworks to support large-scale experimentation and learning.

Requirements

  • Master’s degree with 3 years of experience, a PhD in robotics or a relevant field, or a bachelor’s degree with 3+ years of industry experience.
  • Proficiency in Python and modern robotics and simulation ecosystems.
  • Strong experience with physical robots or robotic simulation.
  • Development and debugging skills across perception, planning or inference, control, and hardware.
  • Clear communication and effective collaboration with research teams.
  • Must be authorized to work in the United States; employment authorization is verified through E-Verify.

Nice to have

  • Experience implementing and tuning real-time control systems.
  • Strong foundation in control, dynamics, and system identification.
  • Experience transferring control and learning-based methods from simulation to real robots.
  • Familiarity with large-scale simulation and reinforcement learning pipelines.

Culture & Benefits

  • Open-source research environment with collaborations across robotics, computer vision, and language-model teams.
  • Learning opportunities through Ai2 Academy lectures, guest experts, and ongoing education support.
  • Medical, dental, vision, life, disability, and employee assistance program coverage.
  • 401(k), health savings and reimbursement accounts, and flexible spending accounts.
  • Paid vacation, sick leave, personal days, holidays, and family leave.
  • Commuting or internet support, fitness and wellbeing allowance, annual bonuses, and a long-term incentive plan.

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