Job Description
Lead Software Engineer | Robotics | SLAM | Autonomy
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We're working with a fast-growing Australian deep-tech company building autonomous systems - real hardware, deployed into the field.
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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.
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About you
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Comfortable leading complex, end-to-end engineering initiatives with a high degree of autonomy
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Strong systems-level thinking and architectural design capability
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Proven track record mentoring engineers and providing technical leadership across teams
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Able to balance genuine hands-on delivery with strategic engineering direction
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What you'll be doing
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Leading the development of an embedded computer vision and control system
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Working across ML, control systems and hardware teams to deliver robust, full-stack solutions
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Defining and driving scalable software architecture for new product features and platform capabilities
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Leading troubleshooting, testing, optimisation and technical decision-making during live field testing
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Mentoring engineers through technical coaching, code reviews and day-to-day leadership
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What you'll bring
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8+ years of commercial software engineering, including 2+ years operating at a technical leadership level
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Robust experience in robotics, image processing, control systems, or an adjacent domain
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A solid understanding of state estimation techniques - SLAM, Kalman filtering, sensor fusion, GNSS integration, or similar probabilistic estimation methods
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Hands-on Rust experience, or strong C++ with meaningful exposure to Rust
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A track record of taking complex systems from prototype through to production
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Deep understanding of performance optimisation at both the algorithmic and systems level
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Comfortable working across embedded and Linux environments
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Preferred background:
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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.
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Why Apply?
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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 (Victoria)
🏢 Reqiva
📍 Victoria