About the position
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. 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.
Responsibilities
- 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.
Requirements
- 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
Benefits
- Medical, dental and vision benefits plus FSA
- Family leave
- 401(k) program
- Unlimited Flex PTO
- Commuter benefits
- Paid lunch
