Hivemapper

Hivemapper

Staff Software Engineer - Data Platform

San Francisco, CA · Staff+

Sponsorship not specifiedDetected 286 days ago
Distributed SystemsMongoDBPlatform EngineeringMachine LearningSparkData EngineeringStatisticsSensors5G/LTEEHR/EMR

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

Responsibilities

  • Experience building production critical systems used by >= thousands of users

Requirements

  • Deep backend experience with a large scale data platform, DB, ETL, distributed system, 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

Skills

  • 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.
  • Our work is fast-paced, collaborative, and data-driven.

This listing is sourced directly from Hivemapper's careers page and normalized into a canonical job model.