Remote Machine Learning Robotics Jobs in Spring Hill, FL

Physical AI Engineer - Simulation & Synthetic Data

Build the Future of Robotics with Physical AI

We're building realworld Physical AI systems-where learning agents interact with physical machines. 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 handson with NVIDIA Omniverse, physicsbased 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.

What You'll Do

• Build highfidelity, physicsbased simulation environments in NVIDIA Omniverse / Isaac Sim for training and evaluating robotic agents.
• Design and run reinforcement learning and imitation learning pipelines using simulationgenerated and synthetic data.
• Train and tune policies for control, planning, and decisionmaking, emphasizing robustness and simtoreal performance.
• Integrate foundation models (GPTclass, Claude / Opus, multimodal models) to support reasoning, task decomposition, or humanintheloop learning.
• Drive simulationtoreal transfer, ensuring learned behaviors perform reliably on physical robotic systems.
• Collaborate with robotics, controls, and perception engineers to deploy learningbased systems end to end.

Requirements

• 5-8+ years of experience in robotics, reinforcement learning, simulation, or applied machine learning.
• Strong handson experience with reinforcement learning, imitation learning, or learningbased 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., GPTbased or Claude / Opusstyle models) into robotics or decisionmaking 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).

Nice to Have

• Modelfree or modelbased RL at scale
• Simtoreal transfer techniques (domain randomization, system ID, hybrid control)
• Physics engines, realtime systems, or robotics middleware
• Experience operationalizing learned policies on physical robots

Work Environment

• Remote / hybrid (USbased)
• Occasional domestic and global travel
• Flexible working hours aligned to experimentation and training cycles

Why Join

You'll work on learningdriven robotics systems where intelligence is earned through interaction with the world-not just inferred from data. If you're excited by agents that learn, fail, adapt, and ultimately succeed in the real world, this role is built for you.

--- This description is optimized to attract senior, handson AI robotics engineers with strong reinforcement learning and simulation expertise.

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What's In It For You?

• 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.

Don't meet every single requirement? Apply anyway.

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. If you're excited about working for our company and believe you're a good fit for this role, we encourage you to apply. 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. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, protected veteran status, disability, genetics, age, or any other characteristic protected by law.

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