Lead Software Engineer | Robotics | SLAM | Autonomy

We're working with a fast-growing Australian deep-tech company building autonomous systems - real hardware, deployed into the field.

They're looking for a Lead Engineer to take ownership of complex engineering initiatives spanning robotics, autonomy and embedded computer vision - from architecture through to field validation. This isn't a role sitting behind a spec; you'll be defining the system architecture yourself, working closely with ML, control systems and hardware teams to build the backbone of an evolving product.

About you

- Comfortable leading complex, end-to-end engineering initiatives with a high degree of autonomy

- Strong systems-level thinking and architectural design capability

- Proven track record mentoring engineers and providing technical leadership across teams

- Able to balance genuine hands-on delivery with strategic engineering direction

What you'll be doing

- Leading the development of an embedded computer vision and control system

- Working across ML, control systems and hardware teams to deliver robust, full-stack solutions

- Defining and driving scalable software architecture for new product features and platform capabilities

- Leading troubleshooting, testing, optimisation and technical decision-making during live field testing

- Mentoring engineers through technical coaching, code reviews and day-to-day leadership

What you'll bring

- 8+ years of commercial software engineering, including 2+ years operating at a technical leadership level

- Strong experience in robotics, image processing, control systems, or an adjacent domain

- A solid understanding of state estimation techniques - SLAM, Kalman filtering, sensor fusion, GNSS integration, or similar probabilistic estimation methods

- Hands-on Rust experience, or robust C++ with meaningful exposure to Rust

- A track record of taking complex systems from prototype through to production

- Deep understanding of performance optimisation at both the algorithmic and systems level

- Comfortable working across embedded and Linux environments

Preferred background:

Genuine hands-on experience with SLAM (Simultaneous Localization and Mapping), robotics, or Guidance, Navigation and Control (GNC) is highly regarded. This role sits at the intersection of perception, estimation and autonomy - candidates coming from robotics platforms, autonomous vehicles, drones, or similar real-world autonomous systems tend to hit the ground running.

Why Apply?

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