TD Synnex

Physical AI Engineer – Simulation & Synthetic Data

Clearwater, Florida, United States

Sponsorship not specifiedDetected 6 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.

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.

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).

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?

Experience working in the NVIDIA ecosystem (Omniverse, Isaac Sim, USD pipelines strongly preferred).

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.

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!

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 TD Synnex's careers page and normalized into a canonical job model.