Senior Computer Vision Engineer
Build real-world computer-vision systems that operate beyond the lab. AI-powered sensing and tracking - cameras, edge computing and modern CV algorithms deployed into demanding production environments.
About the role
Sydney-based engineering company building real-world computer-vision systems for demanding environments. Highly practical engineering role focused on production systems, real sensor integration and performance optimisation - not research prototypes.
The strongest candidates we have placed into roles like this have a track record of shipping CV systems to constrained, real-world environments.
Why AEY is running this
Confidential client, multi-mandate AEY engagement. One of two technical anchor hires the firm is making this year.
Process
Three stages: technical conversation, deep-dive panel including a real production CV problem, and a final discussion with engineering leadership.
Responsibilities
- ▸ Design and optimise computer-vision algorithms for detection, classification and tracking.
- ▸ Integrate cameras and sensor systems into production software platforms.
- ▸ Develop software interfaces for new camera hardware and configurations.
- ▸ Improve performance, latency and reliability of real-time vision systems.
- ▸ Work closely with AI/ML, systems and software engineers on end-to-end solutions.
- ▸ Benchmark, profile and tune high-performance C++ applications.
- ▸ Support deployment workflows across edge and GPU-enabled environments.
Requirements
- ▸ 5+ years' experience in software engineering or computer-vision roles.
- ▸ Strong C++ engineering capability building production systems.
- ▸ Experience integrating cameras or sensor hardware into software systems.
- ▸ Comfortable close to hardware, edge systems and real-time processing pipelines.
- ▸ Strong debugging, profiling and optimisation capability.
- ▸ Modern C++; Python; OpenCV; ONNX and/or TensorRT.
- ▸ CUDA, NVIDIA GPUs or edge compute systems.
- ▸ GStreamer or real-time video pipelines; multi-threaded application development.
Bonus
- ▸ AI/ML engineering experience.
- ▸ LiDAR, thermal cameras or other sensing technologies.
- ▸ Edge deployment or embedded systems exposure.
- ▸ Startup or scale-up environment experience.
- ▸ Workflow automation and MLOps tooling.
Tell us what you are looking for.
If this role isn't the one, we likely have something adjacent - or coming up. A short conversation is enough to align.