Computer Vision Engineer

Takumiengineering; City of Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

Takumiengineering in Melbourne is seeking a robotics computer vision engineer to design and implement pipelines for real-world systems. You will evaluate model performance, latency and robustness across hardware targets and field data.

Collaboration with platform engineers will help package perception modules for repeatable deployment. Ideal candidates have production experience with Python and C++ for CV/ML workloads, a practical understanding of camera geometry and calibration, and the ability

Qualifications

• Production experience with Python and C++ for computer vision or robotics workloads.
• Understanding of camera geometry, calibration, tracking, detection or segmentation.
• Ability to derive maintainable systems from noisy field data.

Responsibilities

• Design and implement computer vision and sensor fusion pipelines for real-world robotics systems.
• Evaluate model performance, latency and robustness across hardware targets and field data.
• Collaborate with platform engineers to package perception modules for repeatable deployment.

Skills

Python/C++ CV

Camera calibration

Field data reasoning

Tools

ONNX

TensorRT

OpenCV

ROS

Job description

• Design and implement computer vision and sensor fusion pipelines for real-world robotics systems.
• Evaluate model performance, latency and robustness across hardware targets and field data.
• Collaborate with platform engineers to package perception modules for repeatable deployment.

What we are looking for

• Production experience with Python and C++ for computer vision, ML inference or robotics workloads.
• Practical understanding of camera geometry, calibration, tracking, detection or segmentation.
• Ability to reason from noisy field data and turn experiments into maintainable systems.

Useful experience

• Experience with edge AI deployment, ONNX, TensorRT, OpenCV, ROS or embedded GPU targets.
• Exposure to EO/IR, SWIR, acoustic or multi-modal sensing.