Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$200к$235кмедиана$255к
49 в выборке
На СНГ рынке: $4.1к/мес ($3.5к - $5.3к)
82
Хорошая вакансия
развернуть
Здесь можно заниматься исследованиями в актуальной сфере робототехники и ИИ, напрямую связанными с внедрением, но без зарплатных данных и при обязательной работе в офисе в Ирвайне остаются неясными важные практические условия.
Кликните для подробной информации
Зарплата не указанаПередовой стекСильная исследовательская базаПрикладной ИИ
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →