We are partnered with a well-funded, early-stage Australian Edge AI and Autonomous Systems start-up to hire a Senior Computer Vision Engineer for a key early role in its Melbourne engineering team.
The company is building decentralised coordination technology for autonomous systems, for defence and dual-use applications.
The programme is moving from a flight-tested prototype to a drone fleet.
The role
This role sits at the core of how the company's autonomous platforms see and understand the world.
You'll take perception models from research through to real-time deployment on edge hardware, where compute, power and latency all matter.
What you'll do
Design and build real-time perception pipelines for autonomous platforms, covering detection, tracking, segmentation and multi-camera perception
Deploy and optimise models on embedded edge hardware such as NVIDIA Jetson, balancing accuracy against latency and power
Integrate perception into the onboard autonomy stack (ROS 2) so drones can share and act on what they see
Work with the robotics and field team to test,
validate and improve perception in real-world flight conditions
Help shape the perception architecture, tooling and engineering culture as the team grows
About you
Strong experience building computer vision systems for real-world, real-time applications
Depth in object detection, tracking, segmentation or multi-camera perception
Hands‐on deployment of models to edge devices, ideally NVIDIA Jetson or similar embedded GPUs
Model optimisation for the edge: TensorRT, ONNX, quantisation, pruning and profiling
Robust Python and C++, with PyTorch and OpenCV
Nice to have
Sensor fusion (EO/IR, LiDAR, radar) | On-device SLAM or visual-inertial odometry | Multi-agent or distributed perception | Simulation and synthetic data (Isaac Sim, Gazebo) | UAV or field robotics experience | Defence or dual-use experience
Eligibility
Australian citizenship, or permanent residency with a clear pathway to citizenship, is required.
You must be eligible to obtain and maintain a security clearance.
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📌 Computer Vision Engineer, Edge Ai | Deep Tech (Melbourne)
🏢 Reqiva
📍 Melbourne
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