Robotics AI Engineer: Simulation & Synthetic Data

TD SYNNEX; Fremont (CA); Hybrid; USD 130,000 - 160,000; Full time

Benefits offered by this job

Career development programs

Well-being seminars

Diversity and inclusion initiatives

Job summary

TD SYNNEX is looking for a Physical AI Engineer in Fremont, California, to build innovative robotics systems using Physical AI. You'll engage with cutting-edge technologies like NVIDIA Omniverse and reinforcement learning to train intelligent robotic agents in real-world settings.

This role involves creating physics-based simulation environments and deploying learning-based systems. The ideal candidate will have a strong robotics background and hands-on experience with simulation environments.

Qualifications

• 5+ years of experience in robotics and reinforcement learning.
• Strong experience in building training agents in simulations.
• Proven Python skills to build and scale training pipelines.

Responsibilities

• Build physics-based simulation environments in NVIDIA Omniverse.
• Train and evaluate robotic agents using reinforcement learning.
• Drive simulation-to-real transfer for reliable robotic performance.

Skills

Reinforcement learning

Simulation environments

Python

Tools

NVIDIA Omniverse

Isaac Sim

Job description

TD SYNNEX is looking for a Physical AI Engineer in Fremont, California, to build innovative robotics systems using Physical AI. You'll engage with cutting-edge technologies like NVIDIA Omniverse and reinforcement learning to train intelligent robotic agents in real-world settings.

This role involves creating physics-based simulation environments and deploying learning-based systems. The ideal candidate will have a strong robotics background and hands-on experience with simulation environments.