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Cartesian Systems

Software Engineer

Cambridge, MAfull-timemidAdded today

About this role

Cartesian, an MIT-founded startup, is seeking a Software Engineer to scale their spatial intelligence platform for retail inventory visibility. You'll own major backend features across APIs, data systems, and ML infrastructure while working in-person in Cambridge with a technical team.

What you'll do

  • Design and implement scalable, cost-effective backend systems and features across API, data, ML, and DevOps platforms
  • Own major features end-to-end from ideation through production deployment
  • Contribute to engineering best practices, technical roadmap planning, and team culture
  • Build reliable web services and intuitive APIs using Python and modern frameworks
  • Optimize database queries and develop efficient data pipelines for large-scale datasets
  • Improve CI/CD pipelines and cloud infrastructure management

What they're looking for

  • Python and FastAPI
  • Scalable web services and API design
  • Distributed systems and ML workloads
  • Database optimization and data pipeline development
  • Azure cloud infrastructure and Infrastructure as Code (Terraform, Kubernetes, Helm)
  • SQL and data structures
  • Dashboard/UI development
  • CI/CD pipeline optimization

Benefits

  • Full ownership over major product features
  • Work with cutting-edge spatial intelligence and computer vision technology
  • Access to MIT research and proximity to leading technical talent
  • High autonomy and outsized impact at an early-stage scaling startup
  • In-person collaboration in Kendall Square, Cambridge
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Cartesian Systems

Cartesian Systems builds an indoor spatial intelligence platform for retail that uses machine learning to enable positioning and perception capabilities. The company is hiring ML Scientists and engineers to develop and deploy perception models and features for enterprise retail customers.

View all jobs at Cartesian Systems

Likely interview questions

  • Tell us about a time you owned a major feature from concept to production—what was your process and what challenges did you face?
  • Describe your experience building scalable backend systems. How do you balance simplicity with the complexity demands of your infrastructure?
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