Note: The job is a remote job and is open to candidates in USA. TD SYNNEX Corporation is building real‑world Physical AI systems, and they are seeking a Physical AI Engineer – Simulation & Synthetic Data to work hands-on with NVIDIA Omniverse and synthetic data. The role involves building simulation environments, training AI agents, and ensuring reliable performance on physical robotic systems.
Responsibilities
- Build high‑fidelity, physics‑based simulation environments in NVIDIA 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‑real performance
- Integrate foundation models (GPT‑class, Claude / Opus, multimodal models) to support reasoning, task decomposition, or human‑in‑the‑loop learning
- Drive simulation‑to‑real transfer, ensuring learned behaviors perform reliably on physical robotic systems
- Collaborate with robotics, controls, and perception engineers to deploy learning‑based systems end to end
Skills
- 5–8+ years of experience in robotics, reinforcement learning, simulation, or applied 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 NVIDIA ecosystem (Omniverse, Isaac Sim, USD pipelines strongly preferred)
- Experience applying or integrating foundation models (e.g., GPT‑based or Claude / Opus‑style models) into robotics or decision‑making workflows
- Strong Python skills; ability to build and scale training pipelines
- Builder mindset with a track record of moving learning systems from experiment to deployment
- Must have hands-on experience training robotic agents or systems (in simulation and/or real-world environments)
- Model‑free or model‑based RL at scale
- Sim‑to‑real transfer techniques (domain randomization, system ID, hybrid control)
- Physics engines, real‑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 path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
- Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-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 equitable growth and development opportunities.
- Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
- Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.
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