Software Engineer (IR Data Products)

• In this role you will build and operate the production pipeline that does this. Our system ingests raw frames from orbit, calibrates and geolocates them, orthorectifies them into map-projected tiles, and derives fire detections and perimeters — all under a hard latency budget, and increasingly on a continuous basis across a growing constellation
• This is hands-on production software engineering on a system with real users and real deadlines. Wildfire response agencies act on what we ship. You will work alongside remote sensing scientists who define what the products must be, and own turning that into code that runs reliably, at scale, and on time
• Build, test, and maintain production data processing pipelines for infrared imagery, from raw frames through calibrated and orthorectified products
• Improve pipeline performance against latency targets — profiling, parallelization, and eliminating fixed overhead in the critical path
• Implement and operate workflow orchestration for continuous, automated processing across multiple satellites
• Build monitoring, alerting, and operational tooling; participate in an on-call rotation for the systems you help build
• Work with remote sensing scientists to turn algorithms and prototypes into production-ready, tested, maintainable code
• Contribute to code review, testing practices, and technical documentation in a shared codebase
• Diagnose and fix data quality and processing failures, including tracing problems back through the pipeline to their source
• Learn new topics as needed (remote sensing measurement techniques, geospatial data engineering, customer domain-specific implications)

Benefits

• 100% health, dental, and vision coverage for employees; 50% coverage for dependents (Concierge Medical offered through One Medical where available)
• Parental leave for primary and secondary caregivers
• Generous time off policy
• 401(k) plan through Betterment and equity management through Carta
• Fully stocked kitchen at our HQ and we cater lunch 3 days per week
• Dog-friendly office

• Solid Python skills, and experience writing code that other people depend on — tested, reviewed, and maintained over time
• Comfort working with data at a scale where naive approaches stop working
• BS +5 years or MS +3 years of relevant professional experience beyond internships
• Willingness to learn the science domain well enough to reason about whether output is correct, not just whether the job succeeded
• Ability to work with a distributed, interdisciplinary team (scientists, engineers, data support)
• Familiarity with cloud infrastructure (AWS preferred) and containerized deployment
• BS, Masters, or PhD in Computer Science, Engineering, a physical science, or equivalent practical experience
• Experience with geospatial data tooling and formats (e.g. XArray, COG, GeoTIFF, NetCDF, GDAL, Zarr)
• Experience with workflow orchestration systems (Flyte, Airflow, or similar)
• Experience with performance profiling and optimization of data-intensive systems
• Experience with satellite, remote sensing, or other scientific imagery pipelines
• Infrastructure-as-code experience (Terraform or similar)
• Experience operating production systems on call