Found.dev
Role Highlights
Languages used
Key skills
Machine Learning
Computer Science
Data Processing
Infrastructure
Automation
Backend
Tools, Libraries and Frameworks
Flow
Apache
Tensorflow
Description
The role involves leading a team of software engineers to scale mapping infrastructure and transform mapping schemas. The individual will evaluate and launch machine learning models designed to generate maps from raw data automatically. Collaboration with onboard teams is required to evolve mapping formats for improved automation. The position entails building backend infrastructure for the storage and processing of various map data forms. Finally, the role focuses on scaling systems to support global mapping initiatives.
Required Qualifications and Skills
Candidates must possess over seven years of total professional experience, including at least two years in a management capacity. A proven track record of leading teams to resolve complex technical challenges is required. Proficiency in large-scale data processing using frameworks such as Google Data Flow or Apache Beam is necessary. While not mandatory, holding an M.S. or Ph.D. in Computer Science or a related technical field is considered a bonus, as is practical experience in mapping, localization, Tensorflow, or C++.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Waymo
Description
Waymo is an autonomous driving technology company that began as the Google Self-Driving Car Project in 2009. With a mission to enhance mobility and safety, Waymo has developed the Waymo Driver, powering their fully autonomous ride-hailing and local delivery services. To date, Waymo has achieved over 20 million miles of autonomous driving on public roads across 25 US cities and 20 billion miles of simulation testing. The company emphasizes mission-driven innovation and a collaborative culture, aiming to improve access to mobility while prioritizing safety and community impact.
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