Joshua Goller is a seasoned software engineer with 11 years of experience building production-grade systems across security, cloud infrastructure, and autonomous perception. He has shipped low-level malware analysis tooling and hypervisor integrations early in his career, then moved into DevOps and cloud platforms before contributing to large-scale data ETL and computer vision pipelines for self-driving cars at Uber ATG. More recently he worked on Reality Labs automation for next-generation AR/spatial computing at Meta, blending hardware-adjacent engineering with automation. Comfortable across C, Python, Terraform, and distributed systems, Joshua has a track record of introducing infrastructure best practices (Terraform, Redis scaling) and building interoperable data tooling like Petastorm. Based in San Francisco and grounded in both CS and liberal arts studies, he pairs deep technical chops with a knack for pragmatic operational improvements. An early-career sandwich artist turned engineer, he still brings attention to reliable, repeatable delivery under pressure.
11 years of coding experience
8 years of employment as a software developer
Various courses , Various courses at Bradfield School of Computer Science
Bachelor of Arts - BA Computer Science, Bachelor of Arts - BA Computer Science at College of Charleston
Bachelor of Arts - BA English Language and Literature General, Bachelor of Arts - BA English Language and Literature General at The Citadel
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