> Markdown version of [/jobs/ext/2714605-staff-software-engineer-data-platform](https://www.wearedevelopers.com/jobs/ext/2714605-staff-software-engineer-data-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - Data Platform - **Company:** Hivemapper Inc. - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** LTE (Telecommunication), Geographic Information Systems, Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, Computer Networks, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Mining, Shard (Database Architecture), Distributed Systems, MapReduce, Machine Learning, MongoDB, Blockchain, Sensor Fusion, Wi-Fi Technology, Data Processing, Apache Spark, Electronic Medical Records, Backend, Data Analytics, Data Management, Machine Learning Operations, Presto, GNSS - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/staff-software-engineer-data-platform-hivemapper-7333507 ## About the Role * 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 ## 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., * 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 ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Tracking vehicles at scale](https://www.wearedevelopers.com/videos/1999-tracking-vehicles-at-scale) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies in Europe](https://www.wearedevelopers.com/magazine/162-highest-paying-tech-companies-in-europe) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)