Cartesian

About the Company

Cartesian is an MIT spinout building indoor spatial AI to streamline retail operations. 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, were awarded a competitive SBIR grant from the U.S. National Science Foundation, deployed in multiple countries, and begun generating customer revenue. Our work has been featured in The Wall Street Journal, BBC, TechCrunch, IEEE Spectrum, MIT Technology Review, and more.

Listed Jobs

Company Name

Cartesian

Job Title

Software Engineer

Job Description

**Job Title** Software Engineer **Role Summary** Design, develop, and scale the company‑wide backend stack, delivering robust APIs, data pipelines, and ML workloads. Own features from concept to production while leading infrastructure and DevOps practices. **Expectations** - Full ownership of end‑to‑end feature development. - Proactive problem‑solving across infra, data, ML, and API layers. - Clear, concise communication of design decisions and trade‑offs. - Continuous learning and mentorship within the team. **Key Responsibilities** - Architect and implement high‑performance, cost‑effective backend services using Python and FastAPI. - Build and optimize APIs, distributed ML systems, and data pipelines handling terabyte‑scale datasets. - Design intuitive dashboards for internal/external stakeholders. - Manage cloud infrastructure with IaC (Azure, Terraform, Helm, Kubernetes). - Enhance CI/CD pipelines to accelerate reliable releases. - Contribute to engineering best practices, planning, roadmap, and culture. **Required Skills** - 3+ years of professional experience in backend development (Python, FastAPI). - Expertise in building scalable web services and intuitive APIs. - Experience with distributed systems for compute‑heavy ML workloads (PyTorch, Ray). - Strong knowledge of relational databases (Postgres) and query optimization. - Proficiency in data engineering: pipeline design, Parquet, Blob Storage. - Cloud infrastructure management using Azure, Terraform, Kubernetes, Helm. - CI/CD automation and performance monitoring. - Excellent problem‑solving, system design, and communication skills. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience). - Relevant certifications (Azure, Kubernetes, Terraform) are a plus but not mandatory.

Cambridge, United states

On site

Junior

25-11-2025

Company Name

Cartesian

Job Title

Applied ML/CS PhD Internship

Job Description

**Job Title:** Applied ML/CS PhD Internship **Role Summary:** A full‑time, 12–24‑week PhD internship focused on developing and improving core algorithms for indoor positioning and spatial perception. The role bridges research and production, requiring hands‑on work with sensor‑fusion, machine‑learning, and signal‑processing pipelines that directly impact enterprise customers. **Expectations:** - Deliver algorithmic enhancements and experimental results within tight timelines. - Communicate findings clearly to engineering and product teams. - Exhibit ownership, curiosity, and a bias toward real‑world impact. - Maintain confidentiality of IP‑sensitive models and data. **Key Responsibilities:** - Investigate new research directions in sensor fusion and spatial AI aligned with product needs. - Design, implement, and evaluate algorithms for indoor positioning and spatial perception. - Conduct experiments on live customer deployments: data collection, failure analysis, and validation of fixes. - Contribute to production ML and signal‑processing pipelines, including modeling, evaluation, and deployment. - Collaborate with engineering and product teams to ship features to enterprise customers. **Required Skills:** - Strong foundation in at least one area: machine learning, perception, sensor fusion, or signal processing. - Proven research record (top‑tier CS/ML, vision, robotics publications or equivalent). - Proficiency in Python and relevant ML/CS libraries (e.g., PyTorch, TensorFlow, OpenCV). - Ability to work effectively in a small, fast‑moving team and communicate technical concepts. - Demonstrated problem‑solving with real‑world data and systems. **Required Education & Certifications:** - Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Robotics, or a closely related discipline. - No additional certifications required.

Cambridge, United states

Hybrid

06-01-2026