Software Engineer
Radar
Radar is a geo-location developer platform that handles 1B+ API calls per day. They are hiring engineers across SRE, ML, backend, full-stack, mobile, security and QA to work on geospatial database, large-scale location tooling, precise indoor location, anomaly detection and mobile infrastructure.
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 leveraging Ultra-Wideband, mobile sensors and ML
- Implement anomaly detection to identify spoofed locations
- Develop mobile infrastructure optimizing battery-life and location accuracy
- Operate multi-region AWS Kubernetes deployment targeting 99.99%+ availability
Skills
- Rust: HorizonDB, Geospatial database, main languages
- TypeScript: main languages
- Python: mobile and offline pipeline languages
- Scala: mobile and offline pipeline languages
- Terraform: mobile and offline pipeline languages, infrastructure
- Kubernetes: Multi-Region AWS K8s deployment
- AWS: Multi-Region AWS K8s deployment
- Machine Learning: ML, anomaly detection, precise indoor location
- Ultra-Wideband: precise indoor location, mobile sensors
- iOS: more accurate than iOS
- Android: more accurate than Android
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