Radar Software Engineer

LeoLabs is focused on building a comprehensive map of activity in space through its global radar network and AI-enabled analytics platform. They are seeking a Radar Software Engineer to develop and maintain software for phased array radars, impacting national security and commercial space operations by enabling precise detection and tracking of objects in space.

Responsibilities:

• Build out tests and observability tooling (logs, metrics, alerts)
• Improve unit test speed and parallelization
• Simplify and document local unit test execution for all team members
• Develop and integrate system/integration tests into the automated testing pipeline
• Rewrite and harden the radar deployment system for robustness, speed, and reliability
• Maintain CI pipelines and GitHub Actions workflows for the radar software stack
• Build and maintain a Radar team operational dashboard
• Develop new data plotting and file writing utilities for data output
• Benchmark and analyze Linux system tuning for real-time radar applications
• Improve configuration management system

Requirements:

• Strong proficiency in Python for services, tooling, and automation
• Experience building and maintaining CI/CD pipelines
• Solid understanding of software testing practices
• Experience with REST API design and implementation
• Ability to work effectively across software, infrastructure, and operations teams
• S. Citizenship or permanent resident
• Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field, plus 3+ years of hands-on software engineering experience
• Experience with database systems (SQL and/or NoSQL), query writing, and schema design
• Demonstrated experience improving developer experience: test infrastructure, local dev tooling, or deployment automation
• Experience with cloud platforms and SRE/DevOps practices
• Proficiency in Linux system administration and performance tuning
• Dashboard and data visualization development
• Experience with high-performance or real-time Linux systems tuning (IRQ affinity, CPU isolation, kernel parameters)
• Background in observability tooling: structured logging, distributed tracing, alerting