4 linux embedded computer vision developer jobs at 3 companies in Boston, MA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Help us build a 100× better job search engine. We need a full-stack engineer with great taste, sharp fundamentals, and a track record of shipping polished product on React/Next.js plus a real backend (Firebase, Elasticsearch, Redis, Stripe).
CatapultASX: CAT: Develops wearable tracking technology and video analytics for sports.
8+ YOE8+ years in software engineering with CV/real-time systems/ML deployment or robotics perception; strong Python and C/C++; production ML/CV experience on embedded/edge systems; leadership experience.
Python, C/C++, Docker, Linux, Embedded systems, Edge AI accelerators, Model optimization
Viant TechnologyNASDAQ: DSP: Provides an AI-powered programmatic advertising platform for marketers.
5+ YOEBachelor's degree, 5+ years embedded/IoT/edge experience, experience deploying computer vision/deep learning on edge devices, strong Python and C/C++ skills, Linux systems knowledge, and familiarity with inference optimization frameworks.
Waltham or Chicago or Boston or Vancouver or Krakow
$140k-$170k/yrHybridFull Time
Motorola SolutionsNYSE: MSI: Provides mission-critical communications and public safety technology.
4+ YOEBachelor's degree and 4+ years software engineering experience with 3+ years C++ development. Experience with camera systems, embedded Linux, model deployment on embedded platforms, Python, Git, and strong problem-solving and communication skills.
Viant TechnologyNASDAQ: DSP: Provides an AI-powered programmatic advertising platform for marketers.
5+ YOEBachelor's in CS/Math/EE, 5+ years in embedded/IoT/edge/embedded AI, experience deploying computer vision/deep learning models on edge, strong Python and C/C++ skills, Linux systems/kernel familiarity, and experience with TensorFlow or PyTorch and inference optimization frameworks.