Staff Software Engineer (Data Platform)
Posted Updated
- 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
- 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
Benefits
- Medical, dental and vision benefits plus FSA
- Family leave
- 401(k) program
- Unlimited Flex PTO
- Commuter benefits
- Paid lunch
- 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
- 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/web3Experience scaling products or systems at hyper-growth startups