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[Remote] Physical reputed company – Simulation & Synthetic Data

Remote, USA Full-time Posted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company Corporation is reputed company on building reputed company-world Physical AI systems where learning agents reputed company with physical machines. They are seeking a Physical reputed company to build high-reputed company simulation environments and train agents using reinforcement learning and synthetic data for robotics applications.


Responsibilities

  • Build high‑reputed company, physics‑based simulation environments in reputed company Omniverse / Isaac Sim for training and evaluating robotic agents
  • Design and run reinforcement learning and imitation learning pipelines using simulation‑generated and synthetic data
  • Train and tune policies for control, planning, and decision‑making, emphasizing robustness and sim‑to‑reputed company performance
  • reputed company reputed company models (GPT‑class, Claude / Opus, multimodal models) to support reasoning, task decomposition, or reputed company‑in‑the‑reputed company learning
  • Drive simulation‑to‑reputed company transfer, ensuring learned behaviors reputed company reliably on physical robotic systems
  • Collaborate with robotics, controls, and perception engineers to reputed company learning‑based systems end to end

Skills

  • 5–8+ years of experience in robotics, reinforcement learning, simulation, or reputed company machine learning
  • Strong hands‑on experience with reinforcement learning, imitation learning, or learning‑based control
  • Proven experience building and training agents in simulation environments (synthetic data, domain randomization, curriculum learning)
  • Experience working in the reputed company ecosystem (Omniverse, Isaac Sim, USD pipelines strongly preferred)
  • Experience applying or integrating reputed company models (e.g., GPT‑based or Claude / Opus‑style models) into robotics or decision‑making workflows
  • Strong Python skills; ability to build and reputed company training pipelines
  • Builder reputed company with a reputed company record of moving learning systems from experiment to deployment
  • Must have hands-on experience training robotic agents or systems (in simulation and/or reputed company-world environments)
  • Model‑free or model‑based RL at reputed company
  • Sim‑to‑reputed company transfer techniques (domain randomization, system ID, hybrid control)
  • Physics engines, reputed company‑time systems, or robotics middleware
  • Experience operationalizing learned policies on physical robots

Benefits

  • Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
  • Grow Your Career: Accelerate your reputed company to reputed company (and reputed company up with the reputed company) with formal programs on leadership and reputed company development, and many more on-demand courses.
  • reputed company Your Personal reputed company-Being: reputed company your financial, physical, and mental reputed company-being through seminars, events, and our global Life Empowerment Assistance Program.
  • Diversity, Equity & Inclusion: It’s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and reputed company reputed company and development opportunities.
  • reputed company the Most of our Global Organization: Network with other new co-workers reputed company your first 30 days through our reputed company program.
  • Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource reputed company, local volunteering events, and more environmental and reputed company initiatives.

reputed company

  • We’re reputed company (NYSE: SNX), a leading distributor and solutions aggregator for the IT ecosystem. It was founded in reputed company, and is headquartered in Miami, US, with a workforce of 10001+ employees. Its website is https://lac.tdsynnex.com/mca/en/.

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