Staff Software Engineer - Data Platform
Hivemapper is a decentralized network of people, cameras, and apps that map the world in real time. Contributors drive with dashcams (branded 'Bee') to capture fresh street-level imagery, which is aggregated into a global map and tracked on-chain. Contributors are rewarded transparently with the HONEY token for the map data they collect.
Projects
About Hivemapper
Hivemapper operates a crowdsourced, blockchain-based mapping network in which everyday drivers use dashcam devices to capture road and street-level imagery as they go about their normal driving. This imagery is stitched together into a continuously updated, global map with coverage tracked across cities worldwide (e.g. Tokyo, Singapore, Los Angeles, Paris, New York, Austin). The network is powered by the HONEY token, which economically incentivizes contributors for collecting and verifying map data, with all contributions tracked and rewarded on-chain. Hivemapper's clients and users include companies and platforms needing fresh, real-time mapping data (the site references ride-share company Lyft using Hivemapper's community-built maps), as well as individual contributors who earn passive income ('map and earn') by driving with Hivemapper devices such as the 'Bee' dashcam, with additional fleet protection offered through a feature called 'Beekeeper'.
Skills
About the Role
You will drive the architecture, design, implementation, and evaluation of core systems and data platforms that process data from millions of kilometers collected by tens of thousands of high-resolution sensors deployed around the world. You will partner across the company to ensure systems are adaptable to emerging opportunities, and you will help plan technical roadmaps while leading higher-level technical strategy. You will work with sensor fusion, ML, AI, and 3D sensing processes that feed an AI conflation system on the company's processing clusters, contributing to distributed systems, ML infrastructure, and data model abstractions that power data customers, consumer products, and user-facing AI technology.
Requirements
- Experience building production critical systems used by at least thousands of users
- Deep backend experience with a large scale data platform, database, ETL, or distributed system
- Strong analytical skills in a relevant field like ML, math, statistics, or quantitative economics
- Track record of deploying and maintaining large scale distributed systems
- Experience with geospatial data, HD mapping, sensor fusion, ADAS or AV is a nice to have
- Experience managing, generating, and processing large amounts of geospatial or imagery data is a nice to have
- Experience with Spark, EMR, MapReduce, Presto, Trino, Mongo Sharding, or similar systems is a nice to have
- Experience with blockchain/web3 is a nice to have
- Experience scaling products or systems at hyper-growth startups is a nice to have
Responsibilities
- Drive architecture, design, implementation, and evaluation of core systems and data platforms
- Partner across the company to ensure 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