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 solid 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?
Genuine ownership from day one - you're not inheriting a mature codebase, you're shaping the system architecture itself. Cross-disciplinary work spanning optics, autonomy, real-time AI and hardware - rare to get that breadth in one role.
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📌 Lead Software Engineer | Robotics | Slam | Autonomy (Melbourne)
🏢 Reqiva
📍 Melbourne