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11 дней назад

Robotics Applied Scientist (Active Perception)

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 (Active Perception) (Robotics/AI): Developing active perception, viewpoint planning, and calibrated vision-language reasoning for real robots with an accent on information gathering, uncertainty, and field-ready deployment. Focus on running research through real-world experiments, shaping technical roadmaps, and mentoring collaborators.

Location: On-site in Irvine, California, United States

Company

hirify.global develops risk-aware, reliable, field-ready embodied AI systems for real robots, sensors, and deployments.

What you will do

  • Formulate active perception problems for inspection and a broad range of robot behaviors.
  • Develop viewpoint planning policies for active information gathering.
  • Research calibrated confidence and abstention for vision-language reasoning on robots.
  • Lead research and development through real-world experiments that demonstrate feasibility and deployability.
  • Investigate and shape the technical roadmap by aligning real-world needs with technical development.
  • Mentor junior team members and collaborators.

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.
  • Research experience in active perception, informative path planning, vision-language models, or semantic mapping for exploration.
  • Hands-on experience with vision-language or foundation models for robot perception, including the physical principles governing them.
  • Fluency in Python and the ability to run methods on real robots using C++ and ROS 2.
  • Fluency with uncertainty, including Bayesian or information-theoretic planning, calibration, and conformal methods.

Nice to have

  • Real-robot experience in the wild.
  • Experience with metric-semantic scene graphs, open-vocabulary mapping, or spatio-temporal scene representations.
  • Experience fine-tuning or deploying compact vision-language models on edge computers.
  • Exposure to robotic industrial inspection workflows.

Culture & Benefits

  • Work directly with real robots, sensors, and field deployments.
  • Develop systems that are tested on hardware and improved through real-world operation.
  • Combine rigorous engineering with learning systems used in globally deployed solutions.

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