15 часов назад
Member of Technical Staff – Robotics (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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