National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Embedded Systems Engineer, Computer Vision

Clutch
Cambridge
4 weeks ago
Applications closed

Related Jobs

View all jobs

Computer Vision Engineer

Graduate Embedded Software Engineer

Lead Embedded Software Engineer

Machine Learning Engineer

Graduate Software Engineer

Lead Software Engineer

About Clutch

Clutch is on a mission to build a global community for racket sports players — powered by an AI camera infrastructure that helps players re-live their best moments on court and track their progress with game analysis.

Our initial focus is padel, the fastest growing sport in the world. We’ve spent the past year designing and building our own camera, the Clutch Cam. In December 2024, we’ve started our initial roll-out of the Clutch Cam in partnership with several high-level clubs and investors, from the US to Europe to the Middle East.


About you

We’re looking for an experienced embedded engineer to join us on our mission to build a global racket sports community. This mission relies heavily on predictable and robust remote camera control and high quality match footage.

As the primary embedded engineer in Clutch, you’ll be responsible for managing firmware and hardware development for our fleet of cameras. This includes support and development of APIs and platforms for camera control and video streaming, implementing in-camera improvements in video and audio streaming quality, developing monitoring and alerting systems for the cameras on the field, suggesting hardware improvements and developing our firmware for new models of the camera.

Our camera solution is based on Nerves+Elixir framework. Our camera management solution is based on Elixir as well.


What we offer

  • Equity and meaningful ownership in an early-stage, fast-growing startup
  • Flexible location (Barcelona, Copenhagen, or remote with periodic team meetups)
  • Autonomy and impact—be a foundational team member helping shape both product and culture
  • Access to world-class padel courts and the latest in AI camera tech


Minimum qualifications

  • You have 2+ years industry experience with embedded systems
  • Experience with Elixir
  • Experience with video processing tools (ffmpeg, OpenCV, gstreamer).
  • Experience working with SBCs (e.g. raspberry pi’s, jetson nanos, etc.).
  • Bachelors degree in Computer Science, Electrical Engineering, or other quantitative fields


Bonus qualifications

  • Experience with Nerves and NervesHub
  • Experience with Cloudflare streaming
  • Masters or PhD in Computer Science or other quantitative field
  • A passion for racket sports


Hiring contacts:

Kári Gunnarsson, CEO

Kirill Paramonov, CTO

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Machine‑Learning Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With deep‑learning projects now integral across healthcare, finance and tech, UK demand for machine‑learning talent is booming. Lightcast shows +50 % YoY growth in UK adverts referencing “machine learning,” “deep learning,” “computer vision” or “reinforcement learning” in Q1 2025. Monthly vacancies sit around 1,800–2,100, but certified ML specialists number fewer than 15,000. Specialist recruiters help candidates access hidden roles, competitive packages, and structured interview prep. How we screened: Only UK‑registered agencies with clear ML/AI or Data practices Agencies that posted ≥ 5 UK ML roles between March and June 2025

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.