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Staff Software Engineer - Edge Mapping

Hivemapper

San Francisco, CAFull-timePosted 1y agoStill listed 4 days ago

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At a glance

Compensation
No compensation found
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

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Job overview

Hivemapper is hiring a Staff Software Engineer - Edge Mapping. Hivemapper is seeking a Staff Software Engineer to evolve and architect efficient userspace software systems for their decentralized global map data network. This role involves building high-level embedded applications and sensor fusion pipelines, using a data-driven approach for performance monitoring, and optimizing ML vision models to run efficiently on hardware. The engineer will contribute to accelerating the migration of ML, sensor fusion, and HD map data processing to edge devices.

Key focus areas include 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, and Use a data-driven approach to iterating quickly with near-realtime performance monitoring across 10s of thousands of devices worldwide.

Important skills include C++, Python, TypeScript, Embedded Sensor Solutions, Map Data Sensor Platforms, and RGB. Preferred (not required): Sensor-Based Mapping Stacks, Mapping Systems, Machine Learning, and Sensor Fusion.

Skills & qualifications

RequiredNice to have

Skills

C++PythonTypeScriptEmbedded Sensor SolutionsMap Data Sensor PlatformsRGBGlobal Shutter Stereo DepthGNSSIMUsLinux OS Development for Embedded SystemsYoctoCNode.jsOpenVINOGoSensor-Based Mapping StacksMapping SystemsMachine LearningSensor FusionHD Map Data ProcessingArchitect Software SystemsEmbedded ApplicationsComputer Vision SystemsData-Driven ApproachPerformance MonitoringHigh Quality Software

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off

Full job 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. 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. 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 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.

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