Overview
I'm partnering with an advanced Software company to find a Senior Rust Systems Engineer
who wants to work at the sharp edge of real‐time video processing and model inference. This role is ideal for someone who enjoys solving tough, low‐level systems problems just as much as shaping higher‐level tooling and infrastructure.
If you're comfortable thinking about latency, memory, data integrity, and you don't flinch at opening a hex editor, this will feel like home.
Why this role?
The team is building one of the world's most advanced
Video Intelligence Platforms
, combining real‐time alerting with AI‐driven post‐event analysis to dramatically reduce video search times.
Their technology is already making a real‐world impact across
law enforcement, retail, transport, and smart cities
, helping improve safety and efficiency for millions of Australians.
You'll be joining a
small, highly skilled team
working on genuinely hard problems. This means real ownership, a strong voice in technical decisions, and the satisfaction of seeing your ideas make it into production.
About the Role
You'll join the
Machine Learning team
, focusing on the design, development, and optimisation of a real‐time computer‐vision pipeline written primarily in
Rust
(with some C++).
Key responsibilities include:




Owning and evolving a
real‐time video processing and inference pipeline
built on GStreamer
Building
custom GStreamer plugins
using Rust bindings for pre‐ and post‐model processing
Designing
benchmarking, profiling, and visualisation tools
(Rust, Docker, Kubernetes)
Researching and evaluating
new ML models and inference execution approaches
Maintaining
CI pipelines
across GStreamer and DeepStream releases
Designing and optimising
camera‐to‐GPU/CPU data pipelines
to minimise latency and maximise data integrity
Collaborating closely with
MLOps engineers
to integrate new models into production
What I'm Looking For
5+ years' experience
in Rust, C, or C++
A solid track record building
low‐latency, highly reliable systems
Solid experience with
Docker
(Kubernetes is a bonus)
Confidence using
debugging and performance tools
such as GDB, Valgrind, and perf
A self‐directed problem solver who enjoys learning new technologies
Nice to Have (But Not Essential)
Hands‐on experience with
GStreamer
(DeepStream experience is a standout)
Work with
NVIDIA Jetson
or other embedded systems
Experience using
GPU APIs
such as CUDA, WebGPU, or WebGL
#J-*****-Ljbffr

📌 Senior Software Engineer (Melbourne)
🏢 Opus Recruitment Solutions
📍 Melbourne