Computer Vision Engineer (Android)

Senior Computer Vision Engineer (Android)

Location: Budapest, Hungary

Ways of working: Hybrid

Contract: Permanent, full-time

Hawk-Eye Innovations is at the forefront of sports technology, delivering officiating, tracking, broadcast and performance solutions across some of the world's biggest sports. As part of Sony Sports, we continue to push the boundaries of innovation, helping athletes, coaches, teams, broadcasters and governing bodies make better decisions through technology.

Bring computer vision to the world of sport

What if athletes, coaches and teams could access the kind of tracking technology that has traditionally been out of reach?

We’re building a new generation of tracking services for elite and semi-professional sport, putting powerful computer vision technology directly into the hands of the people who need it most.

We’re looking for a Senior Android Computer Vision Engineer to help make that possible.

You’ll join a small, cross-functional engineering team building products at the cutting edge of sport and technology. With the direction set and plenty still to be built, you’ll have the autonomy to shape solutions, make important technical decisions and see your work make a real difference.

You’ll own computer vision on the device, taking detection and tracking models and making them work reliably on consumer Android phones and tablets.

That means much more than getting a model to run. You’ll optimise and profile inference for real-world hardware, balancing performance with accuracy across different devices, lighting conditions and environments. You’ll work close to the camera capture pipeline, where frame timing, exposure and device behaviour can all affect the quality of the output.

Your challenge is to ensure that the data produced on a mobile device is accurate, reliable and trusted by the wider tracking system.

You’ll work closely with mobile, backend, computer vision and machine learning engineers, with the freedom to own both your technical approach and its implementation. We also embrace AI-augmented and AI-delegated development as part of how we work, enabling a small team to build and iterate at pace.

This is an opportunity to solve genuinely challenging engineering problems, influence how on-device vision is built and help establish the foundations for a technology that can change how sport is experienced and analysed.

As the team grows, there may also be opportunities to mentor other engineers, take technical leadership of on-device vision and establish the standards and practices that shape our approach to edge AI.

It would be beneficial to understand:

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 technology

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

You’re an experienced computer vision or machine learning engineer who enjoys taking algorithms beyond the lab and making them work reliably in production.

You’re comfortable working close to the hardware, investigating problems that don’t show up in controlled environments and making informed trade-offs between accuracy, performance and resource consumption. You can work independently, communicate your thinking clearly and collaborate with engineers across different disciplines.

Experience in automotive, embedded systems or other resource-constrained environments could be particularly relevant.

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.