At Hudl, we build great teams. We hire the best of the best to ensure you’re
working with people you can constantly learn from. You’re trusted to get your
work done your way while testing the limits of what’s possible and what’s next.
We work hard to provide a culture where everyone feels supported, and our
employees feel it—their votes helped us become one of Newsweek's Top 100 Integral
Most Loved Workplaces
[https://www.hudl.com/blog/newsweek-top-100-global-most-loved-workplaces-2023].

We think of ourselves as the team behind the team, supporting the lifelong
impact sports can have: the lessons in teamwork and dedication; the influence of
inspiring coaches; and the opportunities to reach new heights. That’s why we
help teams from all over the world see their game differently. Our products make
it easier for coaches and athletes at any level to capture video, analyze data,
share highlights and more.

Ready to join us?

YOUR ROLE

We're hiring a Senior MLOps Engineer for our Hardware Group to build and scale
the machine learning infrastructure that powers Focus,



our line of smart
cameras. You'll own the edge deployment pipelines that transport neural networks
from training clusters to tens of thousands of devices globally, and contribute
to the platform that compiles trained models into optimised inference engines
for devices like the Jetson Orin, building the "nervous system" for the next
generation of automated sports capture.

As a Senior MLOps Engineer, you'll:

* Build scalable Edge infrastructure. You'll design, develop, and maintain the
delivery systems that enable us to deploy models to fleets of devices.
* Own the model compilation platform. You'll build and maintain the pipeline
that takes trained models and produces optimised, hardware-specific inference
engines — managing TensorRT compilation, precision trade-offs (FP16/INT8),
calibration, and engine validation to ensure models run reliably and
efficiently on target devices.
* Work with cross-functional t

📌 Senior MLOps Engineer (Barcelona)
🏢 Hudl
📍 Barcelona