Lead Software, Algorithm Engineer | Autonomous systems (Melbourne)

Lead Software, Algorithm Engineer | Autonomous systems (Melbourne)

09 Aug
|
Reqiva
|
Melbourne

09 Aug

Reqiva

Melbourne

Lead Software Engineer (C++ or/and Rust) | Algorithms

- Navigation | Sensor Fusion | State Estimation | SLAM

Location: Melbourne | Full-time | Hybrid

We're working with a fast-growing Australian deep-tech company building autonomous systems and solving genuinely hard engineering problems.

They're looking for a Lead Software Engineer C++/Rust) to take ownership over the development of a new product through to production. This includes engineering initiatives spanning computer vision, state estimation and autonomy - from architecture through to field validation. This isn't a role sitting behind a spec; you'll be defining the system architecture, 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
- Robust systems-level thinking and architectural design capability
- Proven track record 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 a novel product through to production
- Working across ML, control systems and computer vision engineers 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, lead engineer experience is desirable
- Strong experience in image processing, robotics, control systems, or an adjacent domain
- A solid understanding of embedded vision systems and state estimation techniques - Kalman filtering, sensor fusion, GNSS integration, or similar probabilistic estimation methods
- Hands-on Rust experience, or strong 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 A background in 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, and candidates with genuine hands-on robotics or autonomous systems experience will be held in high regard

Opportunity

This offers genuine ownership from day one developing an advanced engineering capability and product. This offers the opportunity to join a growing team and respected business. You will be working cross-disciplinary spanning optics, autonomy, real-time AI and hardware - rare to get that breadth in one role.

If you are looking for position where you can make a difference, solving complexed, innovative problems this is it!

Apply for immediate consideration.

📌 Lead Software, Algorithm Engineer | Autonomous systems (Melbourne)
🏢 Reqiva
📍 Melbourne

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