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Software Engineer

Radar Labs

Posted 7 months runningRustTypeScriptPythonScalaTerraformKubernetesAWSMachine Learning

Radar is a geo-location developer platform handling 1B+ API calls per day, building geospatial infrastructure and mobile location tooling. The role is for full-time software engineers across SRE, ML, backend, full-stack, mobile, security, and QA, working remotely within the US or from the NYC HQ.

What you’ll do

  • Work on HorizonDB, a geospatial database written in Rust
  • Build agents and MCP tools to visualize and debug location data at scale
  • Develop precise indoor location solutions leveraging Ultra-Wideband, mobile sensors, and ML
  • Implement anomaly detection to identify spoofed locations
  • Build mobile infrastructure that optimizes battery life and location accuracy
  • Maintain multi-region AWS Kubernetes deployment with 99.99%+ availability

Skills

  • Rust: HorizonDB, Rust
  • TypeScript: TypeScript
  • Python: Python
  • Scala: Scala
  • Terraform: Terraform
  • Kubernetes: K8s, Kubernetes, Multi-Region AWS K8s deployment
  • AWS: AWS, Multi-Region
  • Machine Learning: ML, Anomaly detection
  • Mobile: iOS, Android, mobile sensors, Ultra-Wideband
  • Geospatial: Geospatial, Geospatial database, HorizonDB

The post

Radar Labs | Software Engineers (SRE, ML, backend, full-stack, mobile, security, QA) | Remote (US), NYC | Full Time | https://radar.com

- Radar is the geo-location dev tool

- Doing 1B+ API calls per day

- Our main languages are Rust and TypeScript, we also use mobile and offline pipeline languages (Python, Scala, and Terraform).

- We're based in NYC with our HQ in Union Square and remote friendly (US)

Interesting things we're working on:

- HorizonDB, our Geospatial database written in Rust

- Agents and MCP tools to visualize and debug location data at scale

- Precise indoor location more accurate than iOS and Android leveraging Ultra-Wideband, other mobile sensors and ML.

- Anomaly detection to identify spoofed locations

- Mobile infrastructure that automatically configures itself optimizing battery-life and location accuracy for different use-cases over time

- Multi-Region AWS K8s deployment, 99.99%+ availability

Check out our jobs page here: https://radar.com/jobs#jobs If you have any questions, feel free to reply here or you can e-mail me at tim@radar.com

Where
Hybrid · New York, NY, US
Type
Full-time
Posted
Oct 2 by timjulien

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