Why an Autistic Developer is Your Next Great Hire w/ Matt Nigh of UW Medicine

Like most fast-growing companies, LinearB spends WAY too much time trying to hire developers.So when we came across a brilliant article about hiring autistic talent, we knew we had to have its author Matt Nigh on the podcast. Matt is one of the most prominent thought leaders on neurodiversity in the workplace.Matt himself was diagnosed with autism late in life following a very unique job interview at Google. He’s since spent countless hours researching, writing and talking about how companies can not only bring neurodiverse talent into the fold, but why engineering teams thrive when they do.In this episode of Dev Interrupted we talk with Matt about best practices in recruiting, hiring and working with neurodiverse coders, how his interview at Google led to an autism diagnosis, the ways Matt’s data team at the University of Washington is helping combat COVID and what private companies can learn from the ROI metrics of universities and public institutions.Dan and Matt also took some time to geek out about GitLab.We hope this conversation was as enlightening for you as it was for us and we hope it helps you find your next great hire. Matt's LinkedIn: https://www.linkedin.com/in/mattnigh/Matt's article on hiring autistic talent: https://medium.com/leading-literally/now-is-the-time-to-hire-autistic-talent-932d4f291644 Join our Discord Community ►► discord.gg/devinterruptedOur Website ►► devinterrupted.com/Want to try LinearB?  Book a LinearB Demo and use the "Dev Interrupted Podcast" discount code.Have 60 seconds? Review the show on Apple PodcastsOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

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