About the role
Hivemapper is a decentralized global map data network built by 10s of thousands of mapping devices. High-res sensors like RGB, Stereo Depth, GNSS, IMU, etc. feed sensor fusion and ML models at the edge. Data is automatically uploaded in near realtime over LTE or WiFi. Enterprise tech, mapping, auto, robotaxis, rideshare, and entertainment represent some of the customers consuming data today. APIs allow anyone to consume precisely extracted Map Features, HD map data, high-res street-level imagery, construction, and driving events for AV simulation. Tech-savvy customers develop and deploy software directly to our dashcams to get realtime data for things like change detection or visual semantic data mining. AI Fleet management tools drive value to large fleets of vehicles. 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. \n
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
Requirements 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 Haves 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 What We Offer Medical, dental and vision
benefits plus FSA Family leave 401(k) program Unlimited Flex PTO Commuter
benefits Paid lunch \n
About Hivemapper
Hivemapper is a decentralized, community-owned mapping network that builds the world's freshest street-level map using imagery contributed by everyday drivers equipped with specialized dashcams. Drivers earn HONEY token rewards for contributing high-quality map data, while AI extracts road objects and intelligence from that imagery. Map customers—such as navigation, logistics, and autonomous vehicle companies—purchase credits to access APIs delivering road imagery and map features across 90+ countries.
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Job details
Location
San Francisco, CA
Funding
Total raised
$23M
Last stage
Series A
Investors
Founders
Ben Wong
Co-Founder & CTO
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.