Jobs at Hivemapper

Engineering Manager for the Map AI Platform at Hivemapper. This role drives the architecture, design, implementation, and evaluation of core AI systems and the data platform. Responsibilities include partnering across the company to ensure system adaptability and planning the technical roadmap.

Staff Software Engineer - Data Platform at Hivemapper. This role drives architecture, design, implementation, and evaluation of core distributed systems, ML infrastructure, data model abstractions, and data engines. The engineer will partner across the company to ensure system adaptability and help plan technical roadmaps and strategy.

Staff Software Engineer at Hivemapper focused on Edge Mapping. This role involves evolving and architecting efficient userspace software systems for real-time processing of high-frequency data. Responsibilities include building embedded applications, sensor fusion pipelines, and computer vision systems using C++, Python, and TypeScript.

Senior Software Engineer at Hivemapper in San Francisco, California. This role involves architecting and developing large-scale infrastructure, distributed systems, and networks, as well as researching and developing new technologies in decentralized computer and web3 systems. The engineer will apply expertise in data structures and algorithms to create core abstractions and work closely with other teams to deliver data-intensive platform solutions.

Staff Software Engineer on the Map AI Platform at Hivemapper. This role involves driving the architecture, design, and implementation of core AI systems and the data platform, which orchestrates sensor fusion, ML, AI, and 3D reconstruction processes. The engineer will partner across the company to ensure system adaptability and contribute to technical roadmaps.

Staff Software Engineer - Machine Learning at Hivemapper. This role involves shaping the computer vision strategy across the mapping stack, from hardware to data insights. The engineer will produce production-grade ML solutions that are efficient in cost and performance, balancing state-of-the-art techniques with practicality.