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.Â
Responsbilities
- Evolve and architect efficient userspace software systems dealing with rich, high frequency data in realtimeÂ
- Build high-level C++, Python, and TypeScript embedded applications and sensor fusion pipelines, and computer vision systems.Â
- Use a data-driven approach to iterating quickly with near-realtime performance monitoring across 10s of thousands of devices worldwideÂ
- 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
Let employer know that you found this job on CryptoJobsList. This helps us get more companies to post web3 jobs here!
Staff Software Engineer - Edge Mapping at Hivemapper: FAQ
Where is the Staff Software Engineer - Edge Mapping role at Hivemapper based?
The Staff Software Engineer - Edge Mapping role at Hivemapper is based in San Francisco, CA. Check the job description for any remote or hybrid options.
What skills are required for the Staff Software Engineer - Edge Mapping role at Hivemapper?
This Staff Software Engineer - Edge Mapping role is associated with the following skills and technologies:
- Engineering
- Backend
- C++
- Python
- TypeScript
- Web3
Read the full job description above for the complete list of requirements.
Is the Staff Software Engineer - Edge Mapping role at Hivemapper full-time or contract?
Hivemapper is hiring this Staff Software Engineer - Edge Mapping as a full time position.
How do I apply for the Staff Software Engineer - Edge Mapping role at Hivemapper?
You can apply for the Staff Software Engineer - Edge Mapping role at Hivemapper directly on this page using the Apply button. San Francisco, CA candidates are welcome. Applications submitted through CryptoJobsList reach the employer directly.