Help autonomous machines find and follow their path! Work on real-world robotics, navigation and planning challenges. Graduates welcome.

Help develop the intelligence that enables massive autonomous machines to find their way!

- Develop navigation and path-planning solutions for autonomous mining machinery
- Graduates welcome – robotics and autonomous vehicle knowledge valued
- Brisbane CBD | 12-month contract | 5 days per week in-office

Are you passionate about robotics, autonomous vehicles and solving complex navigation challenges? You'll be working on the technology that enables large autonomous machines to navigate challenging terrain, determine the best path between two points, avoid obstacles and safely execute complex tasks — all without a human at the controls.

We have an exciting opportunity to join a leading global OEM specialising in advanced mining equipment, robotics and autonomous technology , helping develop the next generation of autonomous systems used in real-world mining environments.

We're looking for someone who understands robotics planning and navigation, not necessarily someone who has spent years writing software. Whether you're a recent graduate with relevant project experience or an engineer with several years in autonomous systems, we'd love to hear from you.

What You'll Be Doing

You'll join a collaborative engineering team developing and improving the planning and navigation capabilities of autonomous heavy machinery.

Your work will involve

- Pathfinding: Developing solutions that determine how an autonomous machine can safely and efficiently travel from point A to point B.
- Path Smoothing: Improving planned paths to create smooth, practical movements that account for machine capabilities and operating conditions.
- Path Tracking: Helping autonomous machines accurately follow planned routes while responding to real-world conditions.
- Navigation & Decision-Making: Working on the logic that determines how machines navigate complex environments, avoid obstacles and make movement decisions.
- Robotics Algorithms: Contributing to the design, development and testing of planning and navigation algorithms.
- C++ Development: Working with C++ to implement and refine planning solutions, with AI-assisted development tools available to support coding activities.
- Simulation & Testing:



Testing navigation approaches, analysing results and identifying opportunities to improve performance.
- Team Collaboration: Working closely with robotics, software, controls and engineering specialists to solve technical challenges.

What We're Looking For We're interested in people who enjoy understanding how things work, solving problems and finding better ways to approach complex engineering challenges.

Ideally, you'll bring:

- Experience or practical project exposure in robotics planning and autonomous navigation.
- An understanding of pathfinding, path planning, path smoothing or path tracking.
- Knowledge of autonomous vehicles, mobile robots or robotic navigation systems.
- A working understanding of programming, ideally C++.
- Solid analytical thinking and problem-solving skills.
- Good communication skills and the ability to explain technical concepts clearly.
- A collaborative approach, with the confidence to ask questions, challenge ideas constructively and listen to other perspectives.
- A willingness to learn, contribute ideas and work with experienced engineers.

Graduates are encouraged to apply , particularly those who have completed university projects involving autonomous vehicles, robotics navigation, motion planning or pathfinding algorithms. Highly Desirable

- A degree in Robotics, Mechatronics, Computer Science, Software Engineering, Electrical Engineering or a related discipline.
- Experience with autonomous mobile robots, autonomous vehicles or robotic navigation.
- Exposure to robotics frameworks such as ROS or ROS2.
- Knowledge of path-planning algorithms such as A*, Dijkstra or RRT.
- Experience with C++ or Python.
- Exposure to robotics simulation environments.

- Experience using AI-assisted development tools.

What Makes Someone Successful in This Role? Technical knowledge is important, but so is how you approach problems and work with others.





We're looking for someone who:

- Is genuinely interested in robotics and autonomous navigation.
- Enjoys understanding complex problems and developing practical solutions.
- Asks thoughtful questions and isn't afraid to suggest alternative approaches.
- Knows when to challenge an idea and when to collaborate towards a shared solution.
- Communicates clearly and works well within a multidisciplinary team.
- Is curious, adaptable and enthusiastic about learning new technologies.

You don't need to know everything on day one, but you do need a solid understanding of robotics planning and navigation, and a genuine interest in developing these capabilities further. Why This Opportunity?

This is an opportunity to work on sophisticated autonomous technology that operates in the real world — not just in a simulation.

You'll have the opportunity to:

- Contribute to advanced robotics and autonomous vehicle technology.
- Work on challenging pathfinding and navigation problems.
- Learn from experienced robotics and software engineering specialists.
- Develop your understanding of autonomous machinery and intelligent planning systems.
- Gain experience working on technology used in large-scale mining operations.

Location & Working Arrangements This is a 12-month contract based in Brisbane CBD , requiring attendance in the office five days per week .

You'll work closely with the engineering team in a collaborative environment where sharing ideas, asking questions and solving problems together are important parts of the role.

Interested?

If you have a background in robotics, autonomous vehicles or navigation and planning algorithms, we'd love to hear from you.

Whether you're a graduate who has developed path-planning algorithms during your studies or an engineer with commercial autonomous systems experience, we encourage you to apply.

Please note: This is an in-office position based in Brisbane CBD, requiring attendance five days per week.

Apply now and help develop the intelligence behind the next generation of autonomous machinery!

Apply via SEEK, or for further information and a confidential discussion, contact:

Fortunato (Forty) Galluzzo

Task IT Recruitment

0438 709 417

Katrina Penfold

Task IT Recruitment

0408 737 527

📌 Robotic Planning Engineer (Brisbane)
🏢 Task Recruitment
📍 Brisbane