Senior Emboddied AI Engineer; Centennial

At Orica, it’s the power of our people that leads change and shapes our futures.

Every day, all around the world, our people help mobilize vital resources essential to progress. Established in 1874, we have grown to become the world leader in mining and civil blasting with a diverse of team of more than 13,000 across the world. From the production and supply of explosives, blasting systems, mining chemicals and geotechnical monitoring to our cutting-edge digital solutions and comprehensive range of services, we sustainably mobilize the earth’s resources.

It’s an exciting time to join us – we are shaping the future of mining through digital and automated technologies, embracing new ways of thinking, pioneering innovation, and reimagining the way we work.

Orica has been recognized as one of the top companies for women to work for in the transportation industry by the Women in Trucking Association (WIT) in 2023, 2024 and 2025.

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.

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.

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.

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.

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.

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.

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.

Foster innovation, collaboration, and continuous improvement.

Promote Orica's Charter and Values while supporting an inclusive and high-performing culture.

Share knowledge and build strong partnerships across teams.

Ensure compliance with data governance, cybersecurity, and SDLC standards.

• 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 ROS
  2.
• 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…