Embodied AI Engineer

About the role

We are seeking a visionary and driven Embodied AI Engineer to serve as a cornerstone of our intelligent robotics team. In this role, you will own the critical intersection of virtual environments and physical intelligence.

Key Responsibilities

• Arcitect Intelligent Control Systems: Design, build, and deploy sophisticated, data-driven control architectures. You will create frameworks that synthesize complex, multi-modal sensor inputs, enabling our robotic systems to make nuanced, real-time decisions in dynamic environments.
• Bridge the Sim-to-Real Divide: Champion our core data and simulation strategies. Construct highly accurate, physics-based simulation environments to identify and mitigate real-world failure modes.
• Build Robust Data Flywheels: Harmonize massive datasets by seamlessly blending unstructured, messy real-world sensor data with task-oriented synthetic data to fuel the continuous training and refinement of our foundation models.
• Pioneer Adaptive Behaviors: Drive the application of advanced machine learning methodologies (such as Reinforcement Learning, Imitation Learning, and Behavior Cloning) to physical systems, developing generalized robotic skills that seamlessly transition across diverse manufacturing applications.
• Scale for Global Impact & Edge Deployment: Ensure that all algorithmic solutions are rigorously evaluated, diagnosed, and optimized for rapid deployment and massive scalability. You will deploy these models directly to edge compute devices on our global factory network, maintaining uncompromised precision, low latency, and reliability.

Basic Qualifications

• Education & Experience: MS or Ph.D. in Computer Science, Robotics, Machine Learning, Artificial Intelligence, or a closely related quantitative field.
• Programming Excellence: Strong, production-level coding skills with deep expertise in Python and C++.
• Machine Learning Mastery: Deep expertise in developing modern machine learning architectures using leading deep learning frameworks (e.g., PyTorch, JAX, TensorFlow), managing the full lifecycle from data ingestion to deployment.
• Simulation Expertise: Proven ability to leverage high-fidelity physics engines (e.g., NVIDIA Isaac Sim, MuJoCo, Drake) to train, evaluate, and validate AI models prior to real-world deployment.
• Visionary Problem Solving: A demonstrated track record of taking complex, open-ended physical challenges and translating them into elegant, mathematically grounded algorithmic solutions.

Preferred Qualifications

• Edge Compute Experience: Familiarity with deploying, profiling, and optimizing ML models for real-time inference on robotic hardware (e.g., NVIDIA Jetson, TensorRT, CUDA).
• Advanced Embodied AI: Experience exploring or applying large-scale generative models, Vision-Language-Action (VLA) models, or Foundation Models to robotic planning and control.
• 3D/Robotics Toolchains: Proficiency with industry-standard 3D asset and robotics description formats (e.g., USD, URDF, MJCF).

Benefits

• Competitive salary & equity
• Unlimited PTO
• Full Medical, Dental, Vision
• 401k
• Daily meals provided with your own choice