Perception ADAS Engineer

Are you passionate about computer vision, robotics, AI, and autonomous systems? Do you enjoy solving complex real-world problems using cameras, LiDAR, radar, and advanced perception technologies?

We are looking for a Perception ADAS Engineer to join our growing engineering team in Perth. In this role, you will contribute to the development, integration, testing, and continuous improvement of perception systems that support advanced driver assistance and collision prevention technologies used in mining and construction environments.

This is an exciting opportunity to work on cutting-edge technology that makes heavy vehicle operations safer while collaborating with a highly skilled multidisciplinary engineering team.

Reporting to the Senior ADAS Engineer, you will develop and optimise perception solutions that enable reliable object detection, classification, tracking, depth estimation, and scene understanding in challenging real-world operating conditions.

You will work with a range of sensing technologies including cameras, LiDAR, radar, and associated sensor fusion systems, helping to improve safety, reliability, and performance across deployed products.

• Develop, integrate, and maintain perception algorithms for object detection, classification, tracking, depth estimation, and scene understanding.

• Work with camera, LiDAR, radar, and sensor-fusion data to deliver robust perception performance.

• Develop and optimise computer vision, machine learning, and deep learning pipelines.

• Support sensor calibration activities, including camera calibration, stereo calibration, sensor alignment, and validation.

• Implement and optimise inference pipelines for embedded, edge, and GPU-accelerated platforms.

• Investigate and resolve perception issues including false detections, tracking failures, depth errors, latency concerns, and performance degradation.

• Analyse datasets, identify failure modes, and drive continuous improvement of perception models and system performance.

• Develop automated testing, validation, logging, and performance monitoring tools.

• Support integration of perception systems within broader ADAS and collision prevention platforms.

• Work closely with software, hardware, embedded, systems, and testing engineers.

• Participate in sprint planning, technical reviews, and engineering discussions.

• Investigate field-reported issues and support troubleshooting, root cause analysis, and resolution activities.

• Engage with customers, field teams, and technology partners to support validation and continuous improvement.

• Communicate technical findings, risks, progress, and recommendations to stakeholders.

• Degree in Computer Science, Electrical/Electronic Engineering, Robotics, Mechatronics, Software Engineering, Computer Engineering, or a related discipline.

• Approximately 2-4 years' experience in computer vision, robotics, perception systems, ADAS, machine learning, software engineering, or a related field.

• Strong programming skills in Python and/or C++.

• Understanding of computer vision and machine learning concepts, including:

  • Object detection

  • Image processing

  • Depth estimation

  • Model evaluation

  • Performance metrics

• Strong analytical and problem-solving skills.

• Excellent communication and teamwork abilities.

• Current C Class Driver's Licence.

• Experience with ROS/ROS2.

• Experience with OpenCV.

• Exposure to CUDA, TensorRT, and GPU optimisation.

• Linux development experience.

• Experience with Git and modern software development practices.

• Experience working with autonomous systems, robotics, mining technology, or safety-critical systems.

You are naturally curious, proactive, and excited by technology. You enjoy investigating complex engineering problems, challenging assumptions, and finding practical solutions.

You'll thrive in this role if you:

• Take ownership of your work and drive outcomes.

• Enjoy collaborating across multidisciplinary teams.

• Adapt well to changing priorities and technical challenges.

• Have a passion for AI, machine learning, automation, and emerging technologies.

• Value continuous learning and improvement.

• Work on innovative ADAS and collision prevention technology.

• Apply AI, machine learning, computer vision, and sensor-fusion technologies to real-world challenges.

• Join a collaborative engineering team committed to innovation and safety.

• Gain exposure to advanced sensing platforms including cameras, LiDAR, radar, and edge computing systems.

• Contribute directly to solutions that improve safety in mining and construction operations.

• Career growth opportunities within a rapidly evolving technology environment.

If you're ready to help shape the future of intelligent vehicle safety systems and want to work on technology that makes a real-world impact, we'd love to hear from you.