Staff Software Engineer - Edge Mapping

San Francisco, CA

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. Edge Mapping In 2023, we launched our GPU powered 3D reconstruction pipeline to accurately identify and extract map features from imagery and sensor data. As we continued to scale this pipeline globally, we realized that moving as much of this processing as possible to actual hardware would not only speed up processing and vaporize costs, it could also result in vastly superior data quality. We began shipping our Bee device in January 2025, equipped with high resolution global shutter stereo depth, 4K RGB imagery, cutting edge GNSS/IMU performance, hardware acceleration for ML, and a high speed LTE modem. We are looking for engineers with experience across sensor-based mapping stacks and mapping systems to help us accelerate our continuous migration and evolution for more and more ML, sensor fusion, and HD map data processing on our devices. \n Responsbilities Evolve and architect efficient userspace software systems dealing with rich, high frequency data in realtime Build high-level C++, Python, and TypeScript embedded applications and sensor fusion pipelines, and computer vision systems. Use a data-driven approach to iterating quickly with near-realtime performance monitoring across 10s of thousands of devices worldwide Write high quality software that takes advantage of hardware paths when possible Optimize ML vision models to run on our hardware efficiently.

Qualifications Experience with embedded sensor solutions Solid understanding of map data sensor platforms - RGB, global shutter stereo depth, GNSS, IMUs, etc. Hands-on Linux OS development experience for embedded systems (we use Yocto) Proficiency in C or C++ and at least one of Python, Typescript, Node.JS , OpenVINO, or Go What We Offer Medical, dental and vision

benefits plus FSA Family leave 401(k) program Unlimited Flex PTO Commuter

benefits Paid lunch \n Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Hivemapper, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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.

Other roles at Hivemapper

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Job details

Location

San Francisco, CA

Company

NameHivemapper
Industry3D
Team Size2

Funding

Total raised

$23M

Last stage

Series A

Investors

Multicoin Capital
Spark Capital
Craft Ventures
Google Ventures
FFounder Collective

Founders

Ariel Seidman

Ariel Seidman

CEO & Co-Founder

LinkedIn
BW

Ben Wong

Co-Founder & CTO

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.