Software Engineer Internship (Summer/Fall 2026)
Software Engineer Internship (Summer/Fall 2026)
Location: On-site; Kendall Square, Cambridge, MA
About the Company
Cartesian is building spatial intelligence for indoor environments to drive operational efficiency.
We're tackling one of the biggest challenges in the $35T global retail industry: in-store inventory visibility. Our platform delivers accurate indoor positioning and actionable product location insights, helping retailers streamline operations, optimize workflows, and reduce inefficiencies. By fusing wireless signals and mobile computer vision, we provide a uniquely scalable and infrastructure-free solution already deployed by international fashion brands.
Founded by an MIT engineering professor and alum behind the award-winning, patented core technologies, Cartesian spun out in 2023. Since then, we've bootstrapped to a live product, secured a competitive SBIR grant from the U.S. National Science Foundation, deployed in multiple countries, and begun generating customer revenue.
About the Role
We're a small, technical team and we're always looking for exceptional people to join us. If you're a strong engineer excited about the problems below, we want to hear from you. We'll figure out the right fit together.
For summer/fall 2026, we’re in particular looking for motivated upper-level undergraduates or graduate students.
What We Work On
We're scaling a platform that processes billions of wireless signal readings to locate products inside retail stores across multiple countries. Some of the problems our engineering team works on:
- 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
About You
- Exceptional engineer: You write clean, effective code and default to simple, maintainable solutions. You have good instincts for when complexity is worth it and can articulate why.
- High ownership: You take problems end-to-end, and make sure they get done. You pragmatically fix issues when you find them, rather than waiting for someone else to do so. You feel responsible for the broader system, not just wants written on your ticket.
- Fast learner: You are a generalist who can tackle unfamiliar problems across our stack (infra, data, ML, APIs). You pick up new tools, domains, and skills quickly. You actively seek feedback and use it.
- Team-first: Your decisions center around team success and working towards the best ideas. You're a good listener, collaborator, and communicator. Low ego, high standards.
Technology
Backend: FastAPI, Python · Data: Postgres, Blob Storage, Parquet · ML: PyTorch, Ray · Infrastructure: Azure, Kubernetes, Helm · Frontend: Next.js, TypeScript, Tailwind · Mobile: Android, Kotlin
Interview Process
- Screen (15–20 min): Sync on the role and your interests.
- Technical interviews (1-2 rounds depending on role): Project deep-dive, coding (not leetcode).
- Behavioral Interview
- Offer