Catapult Sports
sports technology
PrincipalComputerVisionEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Principal Computer Vision Engineer at Catapult Sports. Skills: Computer Vision, ML/AI deployment, real-time systems, Python, C/C++, neural networks, edge inference, tracking systems. Own the technical direction of our computer vision and tracking domain: the full pipeline from sensor readings through computer vision, motion recognition, and metric calculation. Lead and mentor a small team (1–2 engineers), setting priorities, reviewing designs, and driving execution while remaining deeply hands-o”
What You'll Achieve.
shipped at least one meaningful improvement to detection or tracking quality; have a deep understanding of the tracking system and how we might extend it; driven the roadmap for expanding our vision system to new movement types; The team is running well; you're the go-to person across the company for anything related to how our camera system sees and understands athletes
Industry & Context.
solving hard problems; optimizing a model for edge inference; designing a new movement analysis algorithm; analyzing data to produce athlete profiles; analyze tracking accuracy; build quality metrics; use data to drive improvements across the pipeline; own ambiguous problems end-to-end
What They're Looking For.
Must Have
8+ years of software engineering experience, significant depth in at least one of: computer vision, real-time systems, ML/AI deployment, or robotics perception, proficiency in Python and C/C++, Demonstrated experience shipping ML or CV systems to production, especially on resource-constrained or embedded platforms, The ability to own ambiguous problems end-to-end: scoping, prototyping, shipping, and measuring, Comfort with leadership: you've mentored engineers, led technical direction, or driven cross-team initiatives
Nice to Have
Deeper knowledge of the mathematics behind tracking systems: 3D geometry, camera models, state estimation, filtering, optimization, Experience with edge AI accelerators and inference optimization libraries, Background in pose estimation, human movement analysis, or biomechanics, Experience with depth cameras (structured light, time-of-flight) and 3D perception, Familiarity with embedded Linux, Docker on ARM, and systems-level debugging
What You'll Do.
Own the technical direction of our computer vision and tracking domain: the full pipeline from sensor readings through computer vision
and metric calculation
Lead and mentor a small team (1–2 engineers)
and driving execution while remaining deeply hands-on
and deploy neural networks for real-time segmentation and classification on embedded hardware
including model conversion and optimization for edge accelerators
Extend our tracking and motion recognition pipeline to support new movements and types of analysis
Own the reliability of the domain: analyze tracking accuracy
build quality metrics
and use data to drive improvements across the pipeline
How You'll Work.
Team & Collaboration
player-coach a small pod of engineers; collaborating closely with our embedded platform and applications teams; mentored engineers; led technical direction; driven cross-team initiatives; work with people from multiple nationalities and cultures
Communication Scope
constructive, open, and honest communication
Process & Methodology
setting priorities, driving execution, scoping, prototyping, shipping, measuring
Full Job Description
PRINCIPAL COMPUTER VISION we are actively changing it. Since 2006, our solutions have been leading the way in sports performance software, science, and data, in a world where 1% can literally mean the difference between winning and losing. We work with over 5,000+ teams around the world, empowering coaches, managers and trainers in premier teams in the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA and more. We provide the information they need to optimize athletes’ health, game-day readiness, and performance, as well as in-game tactics. Catapult is a sports technology company that empowers professional teams to make data-driven decisions. We deliver health, performance, video, and AI insights from the locker room to competitive environments, ensuring every decision is an opportunity to gain an advantage, sharpen performance, and build lasting success. WE WANT PEOPLE WHO ARE PASSIONATE ABOUT SOLVING HARD PROBLEMS We are looking for a Principal Computer Vision tomorrow it means general human movement. This is a role for someone who thrives on breadth. In any given week, you might be optimizing a model for edge inference, designing a new movement analysis algorithm, or analyzing data to produce athlete profiles. You'll report to a Senior Director of Engineering and player-coach a small pod of engineers while collaborating closely with our embedded platform and applications teams. If you've built real-time perception systems that had to work reliably in the real world – on real hardware, with real constraints – this is your kind of problem. WHAT YOU’LL DO Own the technical direction of our computer vision and tracking domain: the full pipeline from sensor readings through computer vision, motion recognition, and metric calculation. Lead and mentor a small team (1–2 engineers), setting priorities, reviewing designs, and driving execution while remaining deeply hands-on. Train, optimize, and deploy neural networks for real-time segmentation and classification on embedded hardwa
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