Computer Vision Engineer

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 [email protected], 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

WE NEED YOU TO HAVE…

• 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)

IT’S NICE TO HAVE…

• 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

TO BE CONSIDERED…

Please apply by emailing your CV to [email protected].

By applying for this role, you give consent to have your application processed and submitted for this opportunity.