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15 часов назад

Member of Technical Staff – Robotics (AI)

Формат работы
onsite
Тип работы
fulltime
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
Member of Technical Staff – Robotics (AI): Building and deploying robotic intelligence systems that connect simulation, world models, and physical robots with an accent on foundation-model evaluation, multimodal learning, and sim-to-real transfer. Focus on designing simulation benchmarks, training predictive world models, integrating robotic hardware, and debugging systems across software, sensing, control, and machine learning.

Location: On-site in San Francisco, CA, United States

Company

hirify.global builds AI-powered world simulation systems for robotics, embodied AI, and interactive applications.

What you will do

  • Benchmark and evaluate robot foundation models in simulated environments.
  • Design evaluation frameworks for robotic reasoning, planning, manipulation, navigation, generalization, robustness, and task performance.
  • Develop and train world models using multimodal robot data, including vision, depth, state, and actions.
  • Collect and curate real-world robotics datasets and improve sim-to-real transfer for policies and world models.
  • Set up, integrate, maintain, and debug robotic hardware, sensors, perception systems, control software, and compute platforms.
  • Build deployment, simulation-testing, validation, and continuous-improvement workflows connecting research systems with physical robots.

Requirements

  • Strong background in robotics, embodied AI, machine learning, or a related field.
  • Experience working with physical robotic systems and deploying software onto real robotic hardware.
  • Experience with robotics simulation platforms such as Isaac Sim, MuJoCo, Habitat, Gazebo, or similar.
  • Familiarity with robot learning, foundation models, or world models.
  • Strong Python software engineering and robotics tooling skills.
  • Ability to debug across hardware, software, and machine learning systems.

Culture & Benefits

  • In-person, on-site work with the engineering and research team in San Francisco.
  • Work at the intersection of robotics, physical AI, world models, simulation infrastructure, synthetic data generation, and embodied intelligence.
  • Collaborate closely with researchers and engineers on next-generation simulation environments and AI systems.
  • Contribute to foundational infrastructure for robots that learn, reason, and operate in the physical world.

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