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5 часов назад

Lead AI Research Engineer, Embodied Systems (Robotics)

190 000 - 265 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
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
Lead AI Research Engineer, Embodied Systems (Robotics): Engineering onboard AI, data collection, teleoperation, and on-robot reinforcement learning systems that turn embodied AI into real-world robot behavior with an accent on real-time deployment, closed-loop evaluation, and physical robot integration. Focus on setting system architecture, integrating sensing, control, and compute through ROS/ROS2, and improving policies from real-world performance in demanding industrial environments.

Location: Milpitas, California, United States; 5 days per week in-office

Salary: $190,000–$265,000 USD annually, plus bonus and equity

Company

hirify.global is an AI robotics company developing Physical AI-powered robots for dull, dirty, and dangerous industrial work, with a focus on real-world deployment and scalability.

What you will do

  • Lead the engineering of the embodied systems powering the data flywheel, including onboard inference, data collection, teleoperation, and on-robot reinforcement learning.
  • Set the technical direction and architecture for running, evaluating, and improving learned models on physical robots.
  • Deliver end-to-end systems from robot bring-up through reliable, real-time operation in demanding industrial environments.
  • Own on-robot deployment and closed-loop policy evaluation, converting real-world performance into measurable improvements.
  • Partner with robotics software and ML research teams to align interfaces and priorities across the stack.
  • Mentor engineers and raise the technical bar for embodied systems.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field with significant relevant experience, or a PhD.
  • Track record of leading complex robotic or embodied systems end-to-end and setting technical direction.
  • Strong proficiency in C++ and Python, with solid systems programming and real-time, performance-critical engineering skills.
  • Hands-on experience with ROS/ROS2 and robot middleware, including real-time integration of sensing, control, and compute.
  • Experience integrating and deploying ML models or policies into real-time robotic or autonomous systems, with an emphasis on system ownership and engineering.
  • Must collaborate in the office 5 days per week.

Nice to have

  • Experience with teleoperation and large-scale robot data collection systems, including VR, UR, GELLO, or UMI.
  • Experience with on-robot reinforcement learning or closed-loop policy improvement.
  • Familiarity with VLA, imitation learning, behavior cloning, manipulation stacks, whole-body control interfaces, or real-time middleware tuning.

Culture & Benefits

  • Competitive stock options and equity programs.
  • Health, dental, and vision insurance.
  • 401(k) plan.
  • Visa sponsorship and green card support are available for qualified candidates.
  • Lunches and dinners, a stocked kitchen, and regular team-building events.

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