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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Embodied AI Engineer (Centennial, CO) - **Company:** Orica Ltd - **Location:** Greenwood Village, CO, United States - **Experience:** Expert - **Salary:** $130,000 - $150,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Communications Protocols, Cyber Security, Computer Engineering, Data Governance, Linux, Middleware, Ethernet, Global Positioning Systems (GPS), Hardware-In-The-Loop Simulation, Python (Programming Language), Linux System Administration, Machine Learning, Performance Tuning, Systems Development Life Cycle, State Estimation, Robotic Automation Software, Sensor Fusion, Systems Architecture, Systems Integration, Universal Asynchronous Receiver/Transmitter, Data Logging, Serial Peripheral Interface, Real Time Systems, Mobile Robots, System-level Testing, Embodied AI, Containerization, NVIDIA Jetson, Lidar, GNSS, Docker - **Published:** November 6, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-embodied-ai-engineer-centennial-co-centennial-co--32b1cc72-c8f1-41c1-9cab-d2ff25e79529 ## About the Role Artificial Intelligence (AI), Futures, Explosives, Leading Edge Technology, Blasting, Mining Geology/Geoscience, Trucking, Artificial Intelligence (AI), Machine Learning, System Integration (SI), * Masters or higher degree in Electrical Engineering, Computer Engineering, Robotics, or related field. * Multiple years of experience in embedded systems development. * Strong proficiency in Python and C/C++ for embedded and Linux-based systems. * Extensive experience with ROS2. * Experience integrating sensors (LiDAR, IMU, GNSS, cameras) and motor control systems. * Solid understanding of real-time systems and communication protocols (CAN, SPI, I2C, UART, Ethernet). * Experience with Linux-based embedded platforms (e.g., NVIDIA Jetson, NXP, STM32, TI, etc.). * Proven experience deploying robotic systems in production or field environments. * Ability to work independently and as part of a team. Preferred * Sim to Real * VLM or VLA * Experience with mobile robot navigation stacks. * Knowledge of SLAM, localization, and sensor fusion pipelines. * Experience with containerisation (Docker) for robotics. * Cybersecurity practices for embedded/robotic systems. * Experience with computer vision and robotics model development. * Experience with field robotics in harsh outdoor environments. ## Description Orica is seeking a highly skilled Senior Embodied AI Engineer with deep expertise in field robotics, machine vision and machine learning, vision-language-action (VLA) models, system integration, and sensor fusion to lead the deployment of mobile robotic platforms into real-world field environments. This role focuses on end-to-end autonomy system architecture, hardware-software integration, and robust ROS2 middleware implementation for production-grade mobile robots. The successful candidate will bridge low-level embedded systems and high-level robotic autonomy stacks, ensuring reliable performance in challenging field conditions. This is a hybrid position is based in our Centennial, Colorado office What you will be doing 1. ROS2 System Integration Develop and maintain ROS2-based robotic systems, including nodes, lifecycle management, and launch configurations. Integrate navigation, localization, perception, and control subsystems. Configure middleware, diagnostics, logging, and secure communications. 2. State Estimation & Sensor Fusion Design and optimize sensor fusion solutions using IMU, GNSS, odometry, LiDAR, and cameras. Develop localization and SLAM capabilities for GPS-denied environments. Support mapping, relocalization, and navigation system performance. 3. Perception System Design Develop perception solutions for obstacle detection, terrain analysis, and environmental awareness. Optimize real-time performance on embedded and edge computing platforms. Support deployment of AI/ML models and simulation environments for autonomous system development. 4. Field Deployment & Validation Lead system integration, testing, and validation for field deployments. Conduct HIL and system-level testing and troubleshoot integration issues. Establish reliability standards, performance benchmarks, and validation procedures. 5. Embedded Systems Architecture Design and integrate embedded hardware and software for robotic platforms. Interface sensors, actuators, and communication protocols (CAN, SPI, I2C, Ethernet). Optimize system performance, reliability, and power efficiency. 6. Cross-Functional Leadership Collaborate with R&D, engineering, delivery, and operations teams. Provide technical guidance across robotics and autonomy systems. Mentor engineers and contribute to long-term technology strategy. 7. Technology & Innovation Foster innovation, collaboration, and continuous improvement. Promote Oricas Charter and Values while supporting an inclusive and high-performing culture. Share knowledge and build strong partnerships across teams. 8. Data Governance Ensure compliance with data governance, cybersecurity, and SDLC standards.