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Hivemapper in San Francisco is looking for a lead engineer for the Sensors & Embedded Applications team to design and implement embedded dashcam and sensor software, and to push edge ML processing and sensor fusion. You will mentor engineers and help balance performance with development speed while planning firmware releases.
The role requires hands-on Linux-based embedded development, strong C/C++ skills, and experience with at least one of Python, Typescript, Node.Js, or Go.
Hivemapper is a decentralized global mapping data network built by 10s of thousands of people. 2024 will see us 10x the number of contributors to the network.
3D edge detections, high-resolution imagery, GNSS, IMU, etc. are automatically offloaded for further offline processing and analysis (sensor fusion, 3D reconstruction, ML, human-in-the-loop, etc.). Today, different data API products allow transparent and programmatic access for anyone to consume high-resolution imagery and sensor data, precisely extracted Map Features (speed signs, turn restrictions, highway signs, etc.). New data products for traffic, construction detection, and more are starting to become available throughout the year.
Enterprise tech, mapping, robotaxis, rideshares, and real estate represent just a few of the customers consuming data today. Our work is fast-paced, collaborative, and data-driven.
The Sensors & Embedded Applications team is responsible for the underpinnings of our high-level embedded dashcam and sensor software, mobile applications, and edge compute solutions, including running ML and binocular disparity on devices
Lead a small team of software engineers to design and implement embedded applications, high-level sensors drivers, and computer vision pipelines at the edge
Own the balance act of engineering for performance, development speed, and robustness
Write high quality software that takes advantage of hardware paths when possible
Plan firmware and application releases and their execution
4+years of relevant work experience
Experience leading, setting technical direction, and mentoring engineers
Hands-on Linux OS development experience for embedded systems
Proficiency in C or C++ and at least one of Python, Typescript, Node.Js, or Go
Electrical/Computer Engineering knowledge to lean on
Experience deploying large scale Remote Sensing applications
Experience with networking and backend systems
Experience with mobile applications
Experience with ML frameworks (PyTorch, TensorFlow, OpenVINO, ONNX, etc.)
Medical, dental and vision benefits plus FSA
Family leave
401(k) program
Unlimited Flex PTO
Commuter benefits
Paid lunch