Lead Computer Vision & Tracking Engineer

Catapultsports

Greater London

Hybrid

GBP 110,000 - 150,000

Full time

14 days+
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Job summary

Catapult is seeking a Principal Computer Vision & Tracking Engineer to own the computer vision and real-time tracking systems at the core of our camera-based products. Based in London, hybrid work arrangements apply as you lead a small team building the perception stack from neural network inference on edge accelerators to 3D tracking and data-driven validation.

You will work on edge AI inference, movement analysis algorithms, and athlete profiling, reporting to a Senior Director of Engineering

Qualifications

  • 8+ years of software engineering experience, with deep expertise in building complex systems.
  • End-to-end ownership of production systems and responsibility for reliability.
  • Strong proficiency in Python and C/C++ across high-level to performance-critical code.
  • Ability to scope, prototype, ship, and measure ambiguous problems.
  • Experience mentoring engineers and leading cross-team initiatives.

Responsibilities

  • Own the technical direction of our computer vision and tracking domain, from sensor readings to metric calculations.
  • Lead and mentor a small team (1-2 engineers) and drive execution while staying hands-on.
  • Train, optimize, and deploy neural networks for real-time segmentation/classification on embedded hardware.
  • Extend tracking/motion analysis pipelines to support new movements.
  • Ensure domain reliability by analyzing tracking accuracy and driving improvements.

Skills

Python
C/C++
Leadership
End-to-end ownership

Tools

Docker on ARM
Embedded Linux
3D perception
Edge AI accelerators

Job description

Catapult is seeking a Principal Computer Vision & Tracking Engineer to own the computer vision and real-time tracking systems at the core of our camera-based products. Based in London, hybrid work arrangements apply as you lead a small team building the perception stack from neural network inference on edge accelerators to 3D tracking and data-driven validation.

You will work on edge AI inference, movement analysis algorithms, and athlete profiling, reporting to a Senior Director of Engineering

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