This range is provided by Searchability. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$120,000.00/yr - $150,000.00/yr
Direct message the job poster from Searchability
COMPUTER VISION ENGINEER – EDGE DEPLOYMENT – 3+ YEARS COMMERCIAL EXPERIENCE
* Computer Vision and Edge Deployment Experience Essential
* Experience with embedded systems, real-time inference, or robotics highly regarded
* Salary Negotiable Based on Experience + Super + Stock Options
* Location: Sydney, Australia
* Must be an Australian Citizen
* To apply, please email an up-to-date CV to, and we will review applications in order of receipt.
ABOUT US
We’re a fast-scaling, venture-backed company at the cutting edge of autonomous systems and applied AI. Our focus lies in building intelligent, real-world systems where computer vision meets robotics and edge computing.
We offer team members the opportunity to truly own what they build, with stock options forming a key part of our mission-driven culture. If you’re looking to push boundaries in AI and robotics, we’d love to meet you.
WHAT WILL YOU BE DOING?
As a Computer Vision Engineer, you’ll:
* Design & Train – Build CV models for object detection, tracking, and spatial reasoning
* Deploy to Edge – Optimize and deploy models to devices like NVIDIA Jetson, for real-time robotic applications
* Integrate & Scale – Collaborate with robotics engineers to integrate perception pipelines into end-to-end systems
* Innovate Continuously – Own the full ML lifecycle from experimentation to deployment in the field
* Bachelor's or Master's in Computer Vision, Machine Learning, Robotics, or similar
* 3+ years of commercial experience
* Training and deploying computer vision models (e.g., YOLO, Faster R-CNN, SSD, etc.)
* Working with edge computing platforms (Jetson Nano/Xavier, Raspberry Pi, etc.)
* Optimizing models for performance (using tools like TensorRT, ONNX, or OpenVINO)
* Strong coding skills in Python and C++ for embedded/real-time applications
* Experience with deep learning libraries (PyTorch, TensorFlow)
* Solid understanding of CV fundamentals (camera models, calibration, image pipelines)
* Australian Citizenship (required for client work and field operations)
* Familiarity with ROS/ROS2 and CV integration into robotic systems
* Experience with CUDA, GPU acceleration, or hardware-optimized inference
* Skills in multi-camera setups, stereo vision, or 3D reconstruction
* Understanding of robotics control, SLAM, or motion planning
* Strong engineering practices (e.g., Git, CI/CD, testing frameworks)
* Experience in field testing or working with physical hardware
* Interest in early-stage startups and wearing multiple hats
WHY JOIN US?
* Competitive salary + super
* Stock options - own a piece of what you build
* Work on real-world systems in computer vision, AI, and robotics
* Join a collaborative, startup environment solving frontier tech challenges
* Clear growth path with opportunities to take ownership of your work and make a big impact
Please apply by emailing your CV to .
By applying for this role, you give consent to have your application processed and submitted for this opportunity.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
Software Development
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