AI & Robotics

Founding AI / Robotics Engineer

Plano, TX (on-site)
Full-time

Own the perception-to-action pipeline: fine-tune VLA models, collect imitation-learning data, transfer from simulation to the real robot, and add touch to the policy.

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What you’ll own

Design and train Vision–Language–Action / VLSA models for dexterous manipulation and pick-and-place tasks
Build and maintain imitation learning pipelines from teleoperation data
Develop and optimize simulation environments in Isaac Sim, Isaac Gym, or MuJoCo
Lead sim-to-real transfer efforts (domain randomization, system identification, policy adaptation)
Integrate stereo depth perception (ZED 2i or equivalent) into action models
Implement and refine SLAM-based navigation for structured warehouse environments
Establish evaluation frameworks for accuracy, generalization, and cycle time performance
Deploy trained policies onto physical robotic systems and iterate based on real-world failure modes

Requirements

Master’s or Ph.D. in Robotics, Computer Science, Machine Learning, or related field
Deep experience in robot learning (imitation learning, reinforcement learning, or vision-language-action models)
Strong PyTorch expertise for model development, fine-tuning, and evaluation
Hands-on experience with robotics simulation (Isaac Sim / Isaac Gym / MuJoCo)
Experience integrating perception systems (depth cameras, point clouds)
Familiarity with SLAM or visual navigation systems
Experience deploying learned models on real robotic hardware

You’ll be a great fit if

You've trained and deployed a learned policy on a real robot — not just in simulation
You thrive in early-stage environments where speed, ownership, and creativity matter
You're excited about building foundational AI systems that power physical automation at scale

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