Software Engineering Intern (Summer/Fall… at Cartesian · Cambridge

Summary: Cartesian is a company focused on building spatial intelligence for indoor environments to enhance operational efficiency in the retail industry. They are seeking a Software Engineering Intern for summer/fall 2026 to work on various engineering problems related to indoor positioning, data infrastructure, machine learning, and mobile development. Responsibilities: - Indoor positioning at scale: Fusing noisy RFID and computer vision data into accurate, real-time product locations across hundreds of stores - Data infrastructure: Building efficient pipelines to ingest, process, and serve TB-scale datasets with tight latency and cost constraints - ML in production: Training, deploying, and monitoring ML models that run on mobile devices and cloud infrastructure - Mobile and edge: Design mobile (Android) SDKs that integrate with enterprise PDAs and wireless scanners - Platform reliability: Scaling Kubernetes-based infrastructure on Azure to support rapid international deployment - Product development: Shipping dashboards, APIs, and tools that help retail operations teams make better decisions every day Required Qualifications: - Motivated upper-level undergraduates or graduate students - Exceptional engineer: You write clean, effective code and default to simple, maintainable solutions - High ownership: You take problems end-to-end, and make sure they get done - Fast learner: You are a generalist who can tackle unfamiliar problems across our stack (infra, data, ML, APIs) - Team-first: Your decisions center around team success and working towards the best ideas - Backend: FastAPI, Python - Data: Postgres, Blob Storage, Parquet - ML: PyTorch, Ray - Infrastructure: Azure, Kubernetes, Helm - Frontend: Next.js, TypeScript, Tailwind - Mobile: Android, Kotlin Required Skills: Python, Kubernetes, Azure Important Skills: FastAPI, Postgres, PyTorch, Android Nice-to-Have Skills: Fast learner, High ownership Internship Start Date: Start in 2026 Summer