About Geospan

At Geospan, we are building the intelligence layer for the road network, using AI-powered roadside cameras to detect and understand hazards on the road in real time and turn this into actionable data for smarter, safer and more connected vehicles.

By giving vehicles access to intelligence beyond their own sensors, they can anticipate what’s ahead, coordinate with infrastructure and make better decisions in real time.

We’re a small, ambitious team working across AI, software, hardware and field deployment. We care about moving quickly, solving difficult real-world problems and building technology that works on actual roads in real conditions.

About the role

As a Robotics Systems Engineer, you will help design, build and deploy the physical systems that underpin Geospan’s roadside intelligence platform.

You will work across cameras, sensing, edge-compute architecture, networking, embedded systems and software integration, taking systems from early prototypes through field testing and reliable real-world deployment.

This is a broad, hands-on engineering role. You may be designing compute architecture one day, debugging a camera or networking issue in the field the next, and then improving the software and deployment tooling that makes the system more reliable and repeatable.

You will have meaningful ownership over the systems you build and the technical decisions behind them.

What you'll do

- Design and integrate Geospan’s roadside systems across cameras, sensing, edge compute, networking and software
- Take systems from prototype through testing, field deployment and reliable real-world operation
- Build software and tooling to configure, monitor, diagnose and manage deployed systems
- Own and contribute to key technical decisions across hardware and software interfaces
- Debug complex system-level problems across devices, networking, software and field infrastructure
- Improve the reliability,



maintainability and repeatability of Geospan’s deployments
- Work closely with the AI and software teams to ensure edge and cloud systems operate effectively together
- Support deployments, demonstrations and technical customer discussions where required
- Represent Geospan at conferences, industry events and technical collaborations when required

About you

Ambitious goals and seemingly impossible deadlines bring out your best work. You’re driven, passionate and always willing to learn.

You want to own meaningful problems from beginning to end. You see the whole picture, understand how each decision affects what comes next and stay obsessed with the problem until it’s solved. You don’t wait for perfection. You build, test, learn and iterate.

You want genuine ownership and equity in what you help build, along with the various responsibilities that come with it. Most importantly, you want to push beyond what you thought you were capable of and build something that has never been done before.

Qualifications, Skills and Experience

- Strong mechatronics engineering fundamentals
- Bachelor’s degree in Mechatronics Engineering, or a related field, or equivalent practical experience.
- Experience working with cameras, sensors, embedded computers or edge-computing platforms
- A strong understanding of how hardware, software and networking systems interact
- Experience with Python
- Experience with cloud infrastructure, particularly AWS.




- Experience taking systems beyond prototypes into testing or real-world operation
- The ability to work independently and make sensible engineering decisions with incomplete information
- A willingness to work hands-on with deployed systems and field hardware

If the role excites you but your background looks a little different, apply anyway. We value capability, curiosity and ownership over a perfect resume match.

Strong candidates may also have (but are not required to):

- Experience with NVIDIA Jetson or similar edge-computing platforms
- Worked on field deployed embedded systems.
- Experience with computer vision or machine-learning systems
- Experience with IP cameras, video streaming or camera protocols
- Experience with cellular networking, remote-device connectivity or fleet management
- Experience with Docker or containerised edge applications
- Experience with Linux based systems
- Experience building outdoor, industrial or remotely deployed systems
- Experience with autonomous vehicles, intelligent transport systems, mobility or roadside infrastructure
- Experience with hardware prototyping, electronics or mechatronic design
- Experience with ROS or ROS 2
- Experience working directly with customers, partners or field teams

How we work

We are a small team who work closely together. We value people who take ownership, move quickly and care deeply about whether what they build actually works.

The problems we are solving do not always come with clear instructions. You will often need to make decisions with incomplete information and iterate based on what happens in the real world.

Location

We are based in Sydney, Australia. This is primarily an in-person role with time split between our Sydney office, test facilities and field deployments.

Compensation

- Competitive salary
- Additional compensation and benefits may include equity and versatile working arrangements

📌 Robotics Systems Engineer (Sydney)
🏢 Geospan
📍 Sydney