Senior Computer Vision Engineer (Android)

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  Applied computer vision, including object detection, tracking, camera geometry and the challenges that arise outside controlled environments.

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  Mobile or embedded inference runtimes, including model conversion and quantisation toolchains.

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  Model optimisation and performance profiling for resource-constrained hardware.

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  C++, particularly the Android NDK and JNI.

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  Measuring and validating model accuracy against ground truth.

• Kotlin, with enough experience to work effectively across the JNI boundary.

• Python for prototyping, tooling and data analysis.

• Mobile camera capture pipelines, including frame timing and exposure control.

• Machine learning fundamentals, allowing you to contribute meaningfully to discussions about model improvements.

• Git, code reviews and continuous integration practices.

• Real-time and latency-sensitive systems.

• Spatial computing and multi-view reconstruction.

• The Android application development and release lifecycle.

You don’t need to have worked with every technology listed. We’re interested in the depth of your engineering experience, your ability to solve difficult problems and your willingness to learn.

Our stack includes C++, Android NDK, JNI, Kotlin, Python and AWS, supported by Git, GitHub Actions, Jira and Android mobile inference and profiling tools.

At Hawk-Eye, you'll have the opportunity to work on technology used across the world's leading sports while solving complex technical challenges alongside talented engineers and product teams. You'll play a key role in shaping products from the ground up, working in an environment that values innovation, collaboration and continuous learning.

If you're excited by the opportunity to build cutting-edge mobile products that make a genuine impact in sport, we'd love to hear from you.