Computer Vision Engineer, Edge AI | Deep Tech

Reqiva; Melbourne; In loco; AUD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Reqiva is partnering with a well-funded Australian Edge AI start-up in Melbourne to hire a Senior Computer Vision Engineer for a key early role in its engineering team. You will advance perception pipelines from research to real-time edge deployment on devices like NVIDIA Jetson, balancing accuracy, latency, and power.

You will work on integrating perception into the onboard autonomy stack (ROS 2) and test in real-world flight conditions, shaping architecture and engineering culture as the team

Competenze

• Real-time computer vision experience in edge deployments.
• Experience with object detection, tracking, segmentation, or multi-camera perception.
• Hands-on deployment of models to edge devices (e.g., NVIDIA Jetson).
• Model optimization for the edge (TensorRT, ONNX, quantisation, pruning, profiling).
• Strong Python and C++, with PyTorch and OpenCV.

Mansioni

• Design and build real-time perception pipelines for autonomous platforms (detection, tracking, segmentation).
• Deploy and optimise models on embedded edge hardware (Jetson) balancing accuracy, latency and power.
• Integrate perception into the onboard autonomy stack (ROS 2) so drones can share and act on what they see.
• Work with robotics/field teams to test, validate and improve perception in real-world flight conditions.
• Help shape the perception architecture, tooling and engineering culture as the team grows.

Conoscenze

Python

C++

PyTorch

OpenCV

NVIDIA Jetson

Object detection

Tracking

Segmentation

Edge AI

ROS 2

Strumenti

TensorRT

ONNX

Quantisation

Pruning

Profiling

ROS 2

Descrizione del lavoro

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

• Strong 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.