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3 дня назад

Robotics Applied Scientist (AI)

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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TL;DR
Robotics Applied Scientist (AI): Building persistent spatio-temporal mission memory, world models, and physics-aware digital twins for robots with an accent on scene understanding, 3D representations, and long-term autonomy. Focus on combining learned and physically grounded models, enabling spatial reasoning and planning, and running research methods on real robots with C++ and ROS 2.

Location: Irvine, CA, United States; on-site

Company

hirify.global develops robotics systems for mission-based physical-world autonomy.

What you will do

  • Investigate representations for persistent spatio-temporal robot mission memory across missions and sites, tracking assets that move, disappear, or degrade.
  • Build world models that support reasoning and planning over mission memory.
  • Recover physical parameters through interaction for physics-aware digital twins.
  • Combine learned and physically grounded models, using geometry and dynamics as ground truth.
  • Bridge the perception-reasoning gap for long-term autonomy.

Requirements

  • PhD in robotics, computer science, electrical engineering, aerospace engineering, mechanical engineering, or a related field.
  • Publications at top venues such as RSS, CoRL, ICRA, IROS, T-FR, T-RO, CVPR, NeurIPS, or similar on scene understanding, semantic SLAM, lifelong or spatio-temporal mapping, world models, or embodied reasoning.
  • Hands-on experience applying vision-language or foundation models to spatial reasoning, memory, or long-horizon embodied question answering.
  • Depth in 3D representations, including scene graphs, neural or Gaussian-splat maps, or object-centric maps, and the estimation underlying them.
  • Strong Python skills and the ability to run methods on real robots using C++ and ROS 2.
  • Ability to define the purpose of a representation, evaluate it, and work in a fast-paced environment where research questions are driven by deployment needs.

Nice to have

  • Change detection or long-term mapping results from real deployments.
  • Real2Sim, system identification through interaction, or digital-twin experience.
  • Experience with behavior trees or task planning driven by language models.
  • Industrial or field robotics experience.

Culture & Benefits

  • Full-time, on-site engineering role in Irvine, California.
  • Research questions are shaped by the needs of upcoming deployments.

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