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Jobs of Tomorrow

Jobs of Tomorrow

FromWindows Insider Podcast


Jobs of Tomorrow

FromWindows Insider Podcast

ratings:
Length:
42 minutes
Released:
Jul 25, 2018
Format:
Podcast episode

Description

Technology and the jobs that go with it are evolving exponentially faster. How can new grads and seasoned pros alike be prepared for the jobs of tomorrow? How does Microsoft hire the brightest minds to work on leading edge tech? We ponder these questions and more with Dave Wecker, Architect at Microsoft’s Quantum Computing team, and Tyler Roush, of Microsoft’s talent sourcing team. Dave gives us a peek into his work on the frontier of quantum computing, and Tyler shares what it’s like to source talent for an international dream team. Then, we sit down with Microsoft engineer Raymond Uchenna Ononiwu to get his tips on landing a Microsoft internship and how to turn that into a full-time job offer.     Episode Transcription   Jason Howard: You’re listening to the Windows Insider Podcast and I’m your host, Jason Howard. This is Episode 17: Jobs of Tomorrow. Technology and the jobs that go with it are evolving exponentially faster. How can new grads and seasoned pros alike be prepared for tomorrow’s jobs in tech? How does Microsoft hire the brightest minds to work on leading edge tech? We ponder these questions and more in this episode.   Before we get to our first segment, we’ve got a great opportunity we want to mention called the Windows Insider Women in Computing Award. If you are majoring in computer science or a related field, you could win a trip to the Grace Hopper Celebration, the world’s largest gathering of women technologists. Winners will also receive mentoring at Microsoft Headquarters. You can get full details by going to Insider.windows.com.   In case you didn’t know, the Windows Insider Program runs quite a few awesome contests and they are only available to Insiders. So that’s my shameless plug – if you aren’t yet a Windows Insider, go to our website and register. It’s free, it’s easy, and you become a part of a global community shaping the future of Windows.   OK, onto the show!   (Music.)   Jason Howard: First up, we have special guests from Microsoft’s Quantum Computing team to talk about life on the cutting edge and what Microsoft looks for in candidates for jobs on the frontiers of innovation. Dave and Tyler, welcome to the show. Would you please introduce yourselves for our audience?   Hi, I'm Dave Wecker. I'm the Quantum Architect and my job is to pull all the pieces together from the very top which is the software, we normally do all the way down to the materials, the fridges, the devices that we put in our labs all over the world. So, I spent a lot of time on an airplane going from lab to lab.   (Laughter.)   Tyler Roush: My name is Tyler Roush. I work with our talent sourcing team and I've been working with Dave for the last two years but most of my job is trying to understand what they do as much as possible and identify some of the skills that we need to come on to Microsoft to help build a quantum computer.   Jason Howard: So he's doing a cool stuff, and you're getting people to come in and do the cool stuff.   Tyler Roush: Exactly.   Jason Howard: Awesome. So Dave, we start with you. Can you help us understand in kind of layman's terms what quantum computing actually is.   Dave Wecker: Yeah it's actually fairly straightforward, if you think of it compared to classical computing. Classical computing we have bits, and a bit is zero or one. The qubit which is the basic unit in quantum computing is also zero and one but it can be zero and one at the same time. It's actually a little more than that because there's more information than just the zero or one in there. So, you can do a lot of computing with a single qubit. If 32-bits holds one number, let's say on your phone, that number can be from zero to four billion, 32 qubits can hold four billion numbers at once. So, all of a sudden, you're doing computation on a massive amount of information at one time, this unlocks a whole bunch of possibilities for what you can do computationally that you can't do with a classical computer.   Jason Howard: So, wh
Released:
Jul 25, 2018
Format:
Podcast episode

Titles in the series (51)

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