Synnex
Physical AI Engineer – Simulation & Synthetic Data
Clearwater, Florida, United States
Sponsorship not specifiedDetected 7 days ago
PythonMachine LearningNLPA/B TestingRoboticsLeadership
About the role
- This role is tailored for an AI Robotics Engineer with a strong reinforcement learning (RL) mindset, someone who wants to train, evaluate, and deploy intelligent behaviors that emerge through interaction, not just perception.
- You'll work hands‑on with NVIDIA Omniverse, physics‑based simulation, synthetic data, and foundation models to train agents that learn to act, adapt, and generalize in complex environments.
- This is a builder role: fast iteration, scalable training, and direct transfer from simulation to physical robots.
Responsibilities
- Build high‑fidelity, physics‑based simulation environments in NVIDIA Omniverse / Isaac Sim for training and evaluating robotic agents.
- Drive simulation‑to‑real transfer, ensuring learned behaviors perform reliably on physical robotic systems.
- Build the Future of Robotics with Physical AI
- These principles shape how we work with each other, our partners, and our communities as we drive innovation and create lasting impact.
Requirements
- Experience applying or integrating foundation models (e.g., GPT‑based or Claude / Opus‑style models) into robotics or decision‑making workflows.
- Must have hands-on experience training robotic agents or systems (in simulation and/or real-world environments).
Nice to have
- Model‑free or model‑based RL at scale
- Physics engines, real‑time systems, or robotics middleware
- Experience operationalizing learned policies on physical robots
- Work Environment
- Occasional domestic and global travel
- If you're excited by agents that learn, fail, adapt, and ultimately succeed in the real world, this role is built for you.
- What's In It For You?
Compensation
- Experience working in the NVIDIA ecosystem (Omniverse, Isaac Sim, USD pipelines strongly preferred).
Benefits
- 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.
- At TD SYNNEX, we're proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion.
- Design and run reinforcement learning and imitation learning pipelines using simulation‑generated and synthetic data.
- Integrate foundation models (GPT‑class, Claude / Opus, multimodal models) to support reasoning, task decomposition, or human‑in‑the‑loop learning.
- Collaborate with robotics, controls, and perception engineers to deploy learning‑based systems end to end.
Company info
- Together, We Own It, We Dare to Go, We Grow and Win, and above all, We Do the Right Thing.
- At TD SYNNEX, our values guide everything we do: Together, We Own It, We Dare to Go, We Grow and Win, and above all, We Do the Right Thing.
- You may be exactly the person we're looking for!
Equal opportunity
- We are an equal opportunity employer and committed to building a team that represents and empowers a variety of backgrounds, perspectives, and skills.
This listing is sourced directly from Synnex's careers page and normalized into a canonical job model.