Software Engineer, Sensor Integration

Responsibilities

• Own the ingestion pipelines that convert point clouds and imagery from hardware vendors into Mach9's standard internal format
• Reverse-engineer new vendor formats and updates — often working only with sparse or missing documentation — to expand what data Mach9 can take in
• Build agentic systems to automatically triage failures and reformat data
• Build automated checks and regression testing to guarantee the consistency of our data
• Optimize the performance of our processing and storage across massive geospatial datasets in the cloud
• Work directly with customers and partners to unblock critical customer projects

Requirements

• Strong software development and debugging skills
• Experience building production software in Python
• Comfort operating with ambiguity — ability to dig into undocumented or messy data formats and reverse-engineer them
• Strong communication skills, with the ability to work across ML, product, and customer success teams
• A foundation in parallel computing or distributed systems
• Bachelor's degree in Computer Science, Engineering, or equivalent experience

Nice-to-Haves

• Experience building agentic systems and setting up agent harnesses — orchestrating LLM-driven workflows for triage, debugging, or automated code patching
• Understanding of geospatial data formats (e.g., LAS/LAZ, COPC, E57, GeoTIFF, Shapefiles) and tooling (e.g., GDAL, PDAL, untwine, laz-perf)
• Expertise designing and managing data schemas and storage systems for geospatial data (e.g., Postgres/PostGIS, AWS S3)
• Experience with large-scale data processing frameworks and cloud platforms (e.g., Spark, AWS Batch)
• Familiarity with coordinate reference systems and transforms (CRS, WKT, pyproj, affine transforms)
• Experience building data versioning, lineage, or artifact-tracking systems
• Experience operating data pipelines that feed ML training and inference
• Familiar with C++