About Coaxial AI

Coaxial AI builds AI-enabled robots that construct modular data centres, starting with electrical and cooling fit-outs, so new compute capacity can come online faster .

Every AI breakthrough runs on data centres, and the world needs far more of them than it can build today . One of the biggest bottlenecks is the skilled, labour-intensive work of fitting them out. That's the problem our robots are built to solve.

The role

You'll join a small engineering team as a junior robotics engineer, working alongside senior engineers on the robots that fit out our data centres. It's hands-on: most of your time goes on running the robots, collecting the data that trains them, and building the physical setups they work in.

You'll own well-scoped pieces of work from start to finish and get direct feedback from the founding team. Scope is shaped by what the company needs during the contract, so expect variety.

The role is in office at our lab in Melbourne, either in the CBD or the eastern suburbs, with occasional travel to job sites.

Compensation & employment type

- $55,000–$75,000 AUD per year , pro rata to days worked, depending on experience. We'll consider higher pay for exceptional candidates.
- Fixed-term, up to 3 months, depending on company needs

What you'll do

- Teleoperate the robots and collect data. Physically teleoperate our robots through data-centre fit-out tasks such as cabling, and step in to correct them when they go wrong. Every session is training data: you'll meet a weekly data-collection quota and make sure each session is recorded cleanly and fully integrated into our data pipeline.
- Monitor autonomous runs. Watch the robots as they work, check they're doing the task correctly , and stop or correct them when they're not.
- Set up and maintain the robots and their environment. Build, rig and maintain the physical task setups the robots work in,



including fixtures, mounts and cabling.
- Monitor the hardware, carry out preventive maintenance and replace parts before they fail, so the robots are never down for long.
- Develop task-specific hardware. Design, build and integrate specialised grippers, sensors and cameras for each task. W e don't just use off-the-shelf hardware; we optimise it to make the robots more efficient.
- Support the machine learning team. Help the ML team with the research and testing behind our world-leading policies, including logging failures and data issues and maintaining the ROS 2 nodes, scripts and tooling (Python and C ) that support it.

What you'll bring (must have)

- A completed bachelor's degree in Mechatronics, Robotics, or Mechanical, Electrical or Electronic Engineering.
- 6 months to 2 years of hands-on robotics experience on real robots, with a commercial focus. That can be an industry role, internship or co-op, or university or research-lab work aimed at commercialisation, such as a project with an industry partner or client. You've delivered to real deadlines and real customer requirements. Coursework and personal projects alone don't count.
- Hands-on time with real hardware (robot arms, mobile robots, sensors or embedded boards) and the patience to debug it when it doesn't work.
- Practical, mechanical confidence: building rigs, mounting sensors and cameras, and keeping a physical workspace in order.
- Comfortable with long hands-on sessions operating and supervising robots,



and reliable at hitting weekly targets.
- Working proficiency in Python and C/C .
- Hands-on experience with ROS 2, Linux and Git.
- Experience with at least one robot simulator , such as Isaac Sim, Gazebo, MuJoCo or PyBullet.
- Solid fundamentals in kinematics, control systems and sensing.
- Clear written communication: you document what you tried and what you found.

Nice to have

- MoveIt motion planning and building robot models from URDF/CAD .
- Programming industrial arms, such as Universal Robots (URScript).
- Computer vision or industrial camera integration; training a detection model in PyTorch.
- Exposure to teleoperation, imitation learning or the Hugging F ace LeRobot ecosystem.
- Experience with simulation and data-enrichment tools such as Antioch or NVIDIA Cosmos.
- Embedded systems: microcontrollers (e.g. STM32), PCB design, SPI/I2C/UART.
- CAD (Fusion, Inventor or SolidW orks) and 3D printing.
- Exposure to construction, electrical or industrial environments.

Requirements to apply

- Full working rights in Australia. W e can't offer visa sponsorship for this role.
- Based in Melbourne and able to commute to our lab in the CBD or eastern suburbs. Candidates in regional Victoria, including Geelong, can't be considered because of travel time.
- Available to start from mid-November 2026 and commit to the full contract period, at a minimum of 4 days a week.
- Able to travel occasionally to job sites.

How to apply

Email [email protected] by 2:00 pm AED T (Melbourne time) on Nov 15, 2026 , with the subject line "Junior Robotics Engineer – [your name]"

In the body of your email, confirm that you have full working rights in Australia, the

Melbourne suburb you live in, and that you can start from mid-November for 3–5 days a week.

Late applications won't be considered.

📌 Junior Robotics Engineer (Melbourne)
🏢 Coaxial AI
📍 Melbourne