Staff Software Engineer - Data Platform

Data Platform Every day, we process data from millions of KM from 10s of thousands of high resolution sensors deployed around the world. A symphony of different Sensor Fusion, ML, AI, and 3D Sensing processes are performed at the edge, feeding an AI conflation system on our processing clusters called Map AI. The Platform Engineering team is responsible for the core distributed systems, ML infrastructure, data model abstractions, and data engine that powers our data customers, consumer products, and user-facing AI technology. We strongly believe in engineering design principles around abstraction and programmability that allow us to move quickly with minimal manual interventions. Our work is fast-paced, collaborative, and data-driven. Responsibilities Drive architecture, design, implementation, and eval of our core systems and data platforms Partner across the company to ensure our systems are adaptable to emerging opportunities Help plan technical roadmaps and lead higher level technical strategy Qualifications Experience building production critical systems used by >= thousands of users Deep backend experience with a large scale data platform, DB, ETL, distributed system, etc. Strong analytical skills in a relevant field like ML, math, statistics, quantitative economics, etc. Track record of deploying and maintaining large scale distributed systems Nice to Have Experience with geospatial data, HD mapping, sensor fusion, ADAS or AV, etc. Experience managing, generating, and processing large amounts of geospatial or imagery data Experience with Spark, EMR, MapReduce, Presto, Trino, Mongo Sharding, or similar systems Experience with blockchain/web3 or scaling products or systems at hyper-growth startups What We Offer Medical, dental and vision benefits plus FSA Family leave 401(k) program Unlimited Flex PTO Commuter benefits Paid lunch J-18808-Ljbffr