Job Description

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.

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

About Hivemapper

Hivemapper is building the world's freshest map using street-level imagery contributed by a decentralized community of everyday drivers, large fleets, and everyone in between.

Drivers get HONEY rewards for contributing high-quality map data using specialized dashcams. Map AI extracts objects and intelligence from the imagery. Map customers purchase credits to access APIs that deliver road imagery and map features.

With more than 100 million total kilometers mapped across over 90 countries, more than 6 million of those being unique roads, Hivemapper is setting new standards for accuracy, freshness, and geographic reach. Conventional digital mapping systems are expensive, non-inclusive, and often out of date. High costs, inefficiencies, and coverage gaps impede businesses and developers who require timely, reliable data.

If your business relies on up-to-date mapping, geospatial data, and street-level imagery, Hivemapper is a breakthrough resource. Reach out to learn more.

Industry

IT & Software

Company Size

11-50 employees

Headquarters

San Francisco, CA

Year Founded

2015

Website

hivemapper.com

Social Media