The Role
The Engineering Manager drives architecture and design for AI systems, mentors teams, and plans technical roadmaps for the Map AI Platform.
Summary Generated by Built In
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.
Map AI Platform
Every day, we process data from millions of KM from 10s of thousands of high resolution sensors deployed around the world. A symphony of different Sensor Fusion, ML, AI, 3D Reconstruction processes are performed at the edge and in our processing clusters, for which the Map AI Platform orchestrates.
The Map AI Platform is the core data engine that powers our data customers, consumer products, and user-facing AI technology. These complex systems control and learn patterns about map data all over the world and enable us to to continuously evolve map data intelligence, semantic extraction, QA at scale. For example, we’ve recently been using the system to learn hyperlocalized road network patterns to automatically QA and correct noise from map conflation.
We strongly believe in engineering design principles around abstraction and programmability that allow us to move quickly with minimal manual interventions. Our work is fast-paced, collaborative, and data-driven.
Responsibilities
- Drive architecture, design, implementation, and eval of our core ai systems and data platform
- Partner across company to ensure our systems are adaptable to emerging opportunities
- Help plan technical roadmaps and contribute to higher level technical strategy
Requirements
- Experience building production critical systems used by >= thousands of users
- Deep backend experience with a large scale data platform, DB, ETL, distributed system, etc.
- Strong analytical skills in a relevant field like ML, math, statistics, quantitative economics, etc.
- Track record of leading and mentoring teams in successful projects
Nice to Have
- Experience with geospatial data, HD mapping, sensor fusion, ADAS or AV, etc.
- Experience managing, generating, and processing large amounts of geospatial and imagery data
- Experience integrating or training/fine-tuning ML CV vision models, VLLM models, etc.
- Experience scaling products or systems at hyper-growth startups
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.
Top Skills
AI
Distributed Systems
ETL
Geospatial Data
Hd Mapping
Mathematical Analytics
Ml
Sensor Fusion
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The Company
What We Do
Hivemapper is a decentralized, ever-updating map built by people, using dashcams, who soon will mine our cryptocurrency, HONEY. This new mapping economy represents a fundamental shift in how maps are built and who owns them, sharing the economic benefits of a global map with those who are building it. Forward looking businesses use our Map API.
