{"schemaVersion":"jobsearcher.job.v1","id":"500efb1a58fcbbb285ee9964","url":"https://jobsearcher.com/jobs/500efb1a58fcbbb285ee9964","canonicalUrl":"https://jobsearcher.com/jobs/500efb1a58fcbbb285ee9964","title":"Software Engineer, Sensor Integration","description":"The Role\r\nAt Mach9, Sensor Data Integration Engineers build the algorithms and pipelines that transform large-scale geospatial datasets into structured, accessible formats to power our survey product, Digital Surveyor. You'll work with high-volume data sources — LiDAR-collected point clouds, on-road imagery, overhead aerial ortho photos — and own the systems that ingest, standardize and store them for our training and product use. Every single piece of data that our customers upload will pass through your systems first.\r\nThis role is ideal for an engineer who loves puzzle-hunting — reverse-engineering sparsely-documented formats, wrangling coordinate systems and transforms, hunting down strange camera projection issues.\r\nYou'll sit at the divide between our customers and our product, making messy real-world sensor data trustworthy at scale. This role sits at the front of everything we do: our models are only as good as the data feeding them, and you'll be the one making that data trustworthy at scale.\r\nWhere you'll make an impact\r\nOwn the ingestion pipelines that convert point clouds and imagery from hardware vendors into Mach9's standard internal format\r\nReverse-engineer new vendor formats and updates - often working only with sparse or missing documentation - to expand what data Mach9 can take in\r\nBuild agentic systems to automatically triage failures and reformat data\r\nBuild automated checks and regression testing to guarantee the consistency of our data\r\nOptimize the performance of our processing and storage across massive geospatial datasets in the cloud\r\nWork directly with customers and partners to unblock critical customer projects\r\nWhat you bring\r\nStrong software development and debugging skills\r\nExperience building production software in Python\r\nComfort operating with ambiguity. You'll need to be able to dig into undocumented or messy data formats and reverse-engineer them.\r\nStrong communication skills, with the ability to work across our ML, product, and customer success teams\r\nA foundation in parallel computing or distributed systems\r\nA bachelor's degree in Computer Science, Engineering, or equivalent experience.\r\nBonus experience\r\nExperience building agentic systems and setting up agent harnesses — orchestrating LLM-driven workflows for triage, debugging, or automated code patching.\r\nUnderstanding of geospatial data formats (e.g., LAS/LAZ, COPC, E57, GeoTIFF, Shapefiles) and tooling (e.g., GDAL, PDAL, untwine, laz-perf).\r\nExpertise designing and managing data schemas and storage systems for geospatial data (e.g., Postgres/PostGIS, AWS S3).\r\nExperience with large-scale data processing frameworks and cloud platforms (e.g., Spark, AWS Batch).\r\nFamiliarity with coordinate reference systems and transforms (CRS, WKT, pyproj, affine transforms).\r\nExperience building data versioning, lineage, or artifact-tracking systems.\r\nExperience operating data pipelines that feed ML training and inference.\r\nFamiliar with C++.\r\nJ-18808-Ljbffr","company":"Mach9 Robotics","rawCompany":"mach9 robotics","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T02:15:12.623Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer, Sensor Integration","description":"The Role\r\nAt Mach9, Sensor Data Integration Engineers build the algorithms and pipelines that transform large-scale geospatial datasets into structured, accessible formats to power our survey product, Digital Surveyor. You'll work with high-volume data sources — LiDAR-collected point clouds, on-road imagery, overhead aerial ortho photos — and own the systems that ingest, standardize and store them for our training and product use. Every single piece of data that our customers upload will pass through your systems first.\r\nThis role is ideal for an engineer who loves puzzle-hunting — reverse-engineering sparsely-documented formats, wrangling coordinate systems and transforms, hunting down strange camera projection issues.\r\nYou'll sit at the divide between our customers and our product, making messy real-world sensor data trustworthy at scale. This role sits at the front of everything we do: our models are only as good as the data feeding them, and you'll be the one making that data trustworthy at scale.\r\nWhere you'll make an impact\r\nOwn the ingestion pipelines that convert point clouds and imagery from hardware vendors into Mach9's standard internal format\r\nReverse-engineer new vendor formats and updates - often working only with sparse or missing documentation - to expand what data Mach9 can take in\r\nBuild agentic systems to automatically triage failures and reformat data\r\nBuild automated checks and regression testing to guarantee the consistency of our data\r\nOptimize the performance of our processing and storage across massive geospatial datasets in the cloud\r\nWork directly with customers and partners to unblock critical customer projects\r\nWhat you bring\r\nStrong software development and debugging skills\r\nExperience building production software in Python\r\nComfort operating with ambiguity. You'll need to be able to dig into undocumented or messy data formats and reverse-engineer them.\r\nStrong communication skills, with the ability to work across our ML, product, and customer success teams\r\nA foundation in parallel computing or distributed systems\r\nA bachelor's degree in Computer Science, Engineering, or equivalent experience.\r\nBonus experience\r\nExperience building agentic systems and setting up agent harnesses — orchestrating LLM-driven workflows for triage, debugging, or automated code patching.\r\nUnderstanding of geospatial data formats (e.g., LAS/LAZ, COPC, E57, GeoTIFF, Shapefiles) and tooling (e.g., GDAL, PDAL, untwine, laz-perf).\r\nExpertise designing and managing data schemas and storage systems for geospatial data (e.g., Postgres/PostGIS, AWS S3).\r\nExperience with large-scale data processing frameworks and cloud platforms (e.g., Spark, AWS Batch).\r\nFamiliarity with coordinate reference systems and transforms (CRS, WKT, pyproj, affine transforms).\r\nExperience building data versioning, lineage, or artifact-tracking systems.\r\nExperience operating data pipelines that feed ML training and inference.\r\nFamiliar with C++.\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T02:15:12.623Z","dateModified":"2026-07-16T02:15:12.623Z","hiringOrganization":{"@type":"Organization","name":"Mach9 Robotics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"500efb1a58fcbbb285ee9964"},"url":"https://jobsearcher.com/jobs/500efb1a58fcbbb285ee9964"}}