Help build the future of industrial AI.For more than 20 years, we've partnered with some of the world's largest mining companies to help them operate more safely, efficiently and sustainably.
Today, our enterprise technology monitors more than 40 billion litres of fuel, tracks 107 million tonnes of CO2 emissions, and is deployed across 300+ sites globally.We're looking for an experienced Machine Vision Engineer to own and grow our computer vision capability.
This isn't a research role where your work sits in a notebook—it goes into production, solving real problems for global customers.If you're excited by LiDAR, 3D computer vision, edge AI and taking ideas from prototype through to production, we'd love to hear from you.What you'll be doingYou'll take ownership of VERIDAPT's machine vision and analytics capability, developing solutions that operate reliably in demanding industrial environments.You'llDesign and develop 3D point cloud and LiDAR processing pipelinesBuild computer vision models for detection, measurement and segmentationTrain, evaluate and optimise machine learning models for industrial applicationsDeploy models to edge hardware and optimise performanceProgress solutions from concept through field trials into productionEvaluate cameras, LiDAR sensors and edge computing hardwareBuild reusable tooling, datasets and vision pipelinesWork alongside software, platform and hardware engineers to deliver customer solutionsTravel occasionally to customer sites for captures, commissioning and field trialsWhat we're looking forYou'll Likely Bring Experience In Several Of The FollowingStrong experience with 3D computer vision, LiDAR or depth sensingComputer vision model development including detection and segmentationMachine learning model training,



evaluation and optimisationDeploying ML or AI models to edge or embedded devicesPython and modern computer vision librariesTaking technical ownership and delivering solutions into productionWorking independently while collaborating with multidisciplinary engineering teamsNice to haveExperience in any of the following would be highly regarded:Mining, industrial automation or IoTPoint cloud processingSensor integration and calibrationCamera systemsEdge computingRobotics or autonomous systemsWhy this role is differentMany machine vision roles stop at proof of concept.This one doesn't.You'll own the entire lifecycle from selecting sensors and collecting field data through to deploying production systems used by some of the world's largest industrial organisations.You'll have the autonomy to influence the technology roadmap, evaluate new approaches and build capability that scales across multiple products.What we offerGenuine hybrid working (Sydney preferred, remote considered for the right candidate)Laptop provided$299 annual wellbeing allowance2 additional VERI GOOD Days each year to support your wellbeing or volunteer in the communityAdditional paid parental leaveEmployee Assistance Program including coaching and counsellingOngoing learning and development opportunities$3,000 employee referral bonusA collaborative team solving complex engineering problems with real-world impactAbout VERIDAPTVERIDAPT combines industrial hardware, IoT, cloud software and AI to help customers improve safety, efficiency and sustainability across global supply chains.We're a team of engineers, problem solvers and innovators who enjoy tackling complex challenges and turning them into practical solutions that customers rely on every day.If you're looking for an prospect where you'll have genuine ownership, see your work deployed in the field, and help shape the future of industrial computer vision we'd love to hear from you.
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📌 Machine Vision Engineer (New South Wales)
🏢 Best Practice Fuel Management
📍 New South Wales