Senior Embedded Software Engineer, Real-Time Vision - Simulator Technology
Trackman
Shape the future of real-time vision in sports technology
Join Trackman’s new Simulator Technology team and help build next-generation camera systems for the world’s leading golf simulators. We are looking for an experienced engineer with expertise in real-time video pipelines, camera integration, and low-latency systems.
About the team
Trackman is the global leader in indoor golf technology, delivering advanced simulator experiences through precision tracking, virtual golf software, and in-bay technology.
Our new Simulator Technology´s (SimTech) mission is to drive innovation across the entire in-bay customer experience: cameras, projectors, kiosks, moving floors, and the software that ties them together. The team works in close collaboration with Trackman's hardware, tracking, ML, and Virtual Golf teams to deliver seamless, world-class experiences. This is a unique opportunity to become one of the first engineers shaping the future of Trackman’s simulator technology used by elite athletes and golfers around the world.
The role
You will help build a Windows-based real-time vision platform that captures camera streams, runs AI-based image analysis, and outputs video overlays. The role focuses on low-latency camera integration and high-performance video pipelines. This work sits at the heart of SimTech's camera platform the low-level foundation that everything from swing capture to AI coaching will be built on. Our current team is strong in vision/ML, and we need an engineer who specializes in camera integration and real-time video pipelines.
What you will do
Design and implement low-latency camera capture pipelines on Windows.
Integrate with 3rd party cameras using vendor SDKs as well as our own custom camera modules
Build reliable frame pipelines from capture to inference handoff to overlay output.
Optimize for stable FPS, low jitter, and deterministic end-to-end latency.
Implement robust camera lifecycle handling: hot-plug, disconnect/reconnect, error recovery.
Work closely with ML engineers to define frame formats, metadata, and timing contracts.
Build diagnostics: dropped-frame counters, latency telemetry, and health logging.
Support production readiness across different camera models and hardware configurations.
Success in this role means delivering stable, low-latency dual-camera pipelines with reliable recovery mechanisms, robust telemetry, and a well-documented architecture that enables the broader SimTech team to confidently build on the platform.
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