Catapult Sports

Principal Computer Vision Engineer

Catapult Sports$140K — $281K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of software engineering experience, particularly in computer vision or real-time systems.
  • Strong proficiency in Python and C/C++ across the full development stack.
  • Experience deploying ML or CV systems in production, ideally on embedded platforms.
  • Ability to manage ambiguous problems from scope to measurement.
  • Leadership or mentorship experience, guiding teams and driving technical initiatives.

Responsibilities

  • Own the technical direction for computer vision and tracking systems.
  • Lead and mentor a small team of engineers, prioritizing tasks and driving execution.
  • Train and deploy neural networks for real-time processing on embedded hardware.
  • Extend the tracking pipeline for additional movements and analyses.
  • Ensure reliability in tracking, using data to enhance system performance.

Benefits

  • Generous paid leave and recognized company holidays.
  • Health, Dental, and Vision insurance included.
  • 401(k) retirement plan with company matching.
  • Opportunity to participate in a comprehensive benefits package.
Full Job Description
PRINCIPAL COMPUTER VISION & TRACKING ENGINEER

We are looking for a Principal Computer Vision & Tracking Engineer to own and drive the computer vision and real-time tracking systems at the heart of our camera-based products.

Based in Boston (hybrid), you will lead a small team building the perception stack that turns vision data into athlete performance insights - from neural network inference on edge AI accelerators, to 3D object tracking, to the data science that validates and extends what our system can measure. Today, that means tracking barbell-based weightlifting with sub-rep precision; 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 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.
WHAT YOU'LL NEED
  • 8+ years of software engineering experience, with significant depth in at least one of: computer vision, real-time systems, ML/AI deployment, or robotics perception.
  • Strong proficiency in Python and C/C++ - you're comfortable across the full stack from model training to performance-critical native code.
  • 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, even if your title didn't say "lead."

Nice to have - and what would make you exceptional:
  • 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 YOUR SUCCESS WILL LOOK LIKE
  • In 6 months time... You have shipped at least one meaningful improvement to detection or tracking quality, and you have a deep understanding of the tracking system and how we might extend it.
  • In 12 months time... You've driven the roadmap for expanding our vision system to new movement types. The team is running well, and you're the go-to person across the company for anything related to how our camera system sees and understands athletes.

Compensation & Benefits

The target Total Compensation range for this position is $140,625 - $281,250 per year. This range is inclusive of base salary and a target incentive plan (which may include equity, commission, or other bonus structures). Your specific compensation within this range will be determined by factors such as your geographic location, relevant experience, and job-related skills.

In addition to this compensation, Catapult also offers generous paid leave and recognized company holidays, and the opportunity to participate in our comprehensive benefits package, including Health, Dental, and Vision insurance, and 401(k) retirement plan with company match.

All offers of employment are subject to Catapult's positive prehire check. To find out more, please contact the Talent Partner for this role.

About Catapult Sports

Catapult Sports is a sports technology company that provides wearable technology and analytics to sports teams and athletes. The company's products include GPS trackers, heart rate monitors, and other sensors that can be worn by athletes to track their performance. Catapult Sports also provides software that allows coaches and trainers to analyze the data collected by the sensors and make informed decisions about training and game strategy. The company has worked with teams in a variety of sports, including soccer, basketball, and football. Catapult Sports was founded in 2006 and is headquartered in Sydney, Australia.
Learn more about Catapult Sports
Size
300 employees
Industry

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