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Quinn Johnson is a co-founder of Aquarium Learning, a company focused on building a toolkit for machine learning (ML) teams to improve their workflows. Prior to that, Quinn worked as an Engineering Manager at Ouster, where they were responsible for enhancing the real-time perception and ML engineers' capabilities and improving sensor data infrastructure. Before Ouster, Quinn was an Engineering Manager at Cruise Automation, and their role involved developing systems for managing labeled data and leading a team supporting ML engineers and global operations. Quinn also worked as a Senior Software Engineer at Cruise Automation. Earlier in their career, Quinn worked as a Software Engineer at Graphistry, where they facilitated scrum planning and retrospectives and implemented a GPU version of the ForceAtlas2 graph layout algorithm. They also worked as an Internal Tools Engineer Intern at Palantir Technologies, where they owned an internal application and used Java and Groovy for data onboarding. Quinn also worked at UC Berkeley as an Assistant III, converting an engineering parallel software course for online format, and as a Software Engineer Intern at Aerospike, where they incorporated static analysis and integrated code with Jenkins CI.

Quinn Johnson attended the University of California, Berkeley from 2011 to 2014, where they pursued a degree in Electrical Engineering and Computer Science. No specific field of study is mentioned.