At Cartesian, we’re on a mission to map the physical world at unprecedented scale and precision. We are developing a first-of-its-kind product to solve the challenge of indoor GPS and inventory management for retailers and logistics operators.

Our founders are an MIT engineering professor and alum who invented the award-winning patented technologies underlying Cartesian. Since spinning out in 2023, our team has built and launched our product with major enterprise customers. We are cashflow-positive and funded by the highly selective SBIR Award from the US National Science Foundation and by customer revenue. 

By joining Cartesian as we transition to a scalable product, you’ll be developing and shipping core algorithms part of our first product, building new features, and informing the future product roadmap. You’ll also be part of a collaborative and intellectually-stimulating work environment in Kendall Square/Cambridge, next to MIT and the Charles River.

Responsibilities

• Develop world-class indoor positioning software with a focus on signal processing and computer vision algorithms.

• Design, develop, optimize, and deploy new algorithms in mobile and cloud environments.

• Create software tools and datasets for benchmarking algorithm performance in real-world environments.

• Collaborate with the rest of our small and growing team to ship new features to our customers.

Qualifications

• PhD/MS degree in computer science or equivalent field.

• 4+ years of research in signal processing algorithms and computer vision, including experience with localization and state estimation. 

• 1.5+ years of industry experience in software development.

• Publications in top-tier CS venues in vision, graphics, or mobile computing (such as CVPR, ECCV, ICCV, SIGGRAPH, MobiCom, MobiSys, ICASSP).

• You crave measurable impact and want to spearhead deploying and testing your algorithms in scalable products.

• You value hard work and thrive in fast-paced, dynamic environments. 

Nice to Have

• Past experience in an early-stage startup

• Experience with mobile vision (3D reconstruction/meshing, 3D rendering, on-device ML), camera-based SLAM, sensor fusion algorithms, and streaming algorithms.