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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Embodied AI Engineer - **Company:** Unitx, Inc. - **Location:** Milpitas, CA, United States - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, C++ (Programming Language), Profiling, Nvidia CUDA, Computer Programming, Computer Literacy, Data Files, Python (Programming Language), Machine Learning, Tensorflow, Robotic Automation Software, Systems Architecture, Toolchain, Extensible Markup Language (XML), Reinforcement Learning, Scripting, Data Ingestion, Pytorch, Large Language Models, Deep Learning, Model Validation, Core Data, Information Technology, Low Latency, Data Analytics, TensorRT, Software Coding, Industrial Software - **Published:** August 7, 2026 - **Apply:** https://www.careerbuilder.com/job-details/embodied-ai-engineer-milpitas-ca--dc9fe77d-1f9b-4b94-b789-58b9baa0368b ## About the Role * 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)., Algorithms, Artificial Intelligence (AI), C++ Programming Language, CUDA (Compute Unified Device Architecture), Cloning, Computer Programming, Computer Science, Computer Skills, Control Systems, Data Sets, Deep Learning, JAX (Java API for XML), Machine Learning, Manufacturing, Manufacturing Software, Mathematics, Model Validation, Physics, Problem Solving Skills, Python Programming/Scripting Language, Reinforcement Learning, Robotics, Simulation, Startup, System Architecture, Systems Scalability, Training/Teaching, Vehicle Fleets ## Description 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. You will not only architect the high-fidelity physics simulations that serve as the virtual proving grounds for our fleet, but also design, train, and deploy the advanced machine learning paradigms that learn from them. By controlling this entire sim-to-real lifecycle-seamlessly turning massive amounts of synthetic and real-world data into robust, scalable algorithms-you will empower our robots to generalize their intelligence across a multitude of complex, high-precision manufacturing tasks., * Architect 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. ## Related Videos - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Robots 2.0: When artificial intelligence meets steel](https://www.wearedevelopers.com/videos/1452-robots-2-0-when-artificial-intelligence-meets-steel) - [JavaScript? No. Java Scripts! - Scripting with Java](https://www.wearedevelopers.com/videos/2094-javascript-no-java-scripts-scripting-with-java) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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