Podcasts about distinguished engineer

Volunteer pilot groups delivering service through aviation, and the origins of ANR headsets. Guests Hillel Glazer represented Airplane Geeks at EAA AirVenture Oshkosh 2026 and recorded conversations with a number of people. In this episode, we have two of his interviews. Mark Hanson, President of the Air Care Alliance, Mark Hanson is the President of the Air Care Alliance, a 501(c)(3) nonprofit public service organization that represents a nationwide network of volunteer pilot groups that deliver service through aviation. Mark became a pilot in 2009 and is a nationally recognized advocate for general aviation's role in all types of public benefit flying. He has served on the Air Care Alliance Board of Directors since 2020, most recently as President. He is a seasoned FAA Safety Team Lead Safety Representative who runs a national monthly FAA Safety webinar series, an accomplished aviator, and a longtime advocate for charitable aviation. He has flown more than 500 volunteer missions supporting children, veterans, patients, and wildlife for organizations such as Angel Flight, Veterans Airlift Command,  Sky Hope, Turtles Fly Too, STEM Flights, and others. Dan Gauger, a Distinguished Engineer (retired) at Bose Corporation, worked on the headsets for the Burt Rutan-designed high-altitude composite ultralightweight aircraft Voyager. In 1986, Bose engineers approached the Voyager team with two ANR headset prototypes just before their record-breaking flight around the world. The pilots were risking the loss of 20% of their hearing. They agreed to try the prototypes. Three years later, the first ANR aviation headset was available to all pilots. Working on the ANR headset at the bench. The ANR headset. Hosts this Episode Max Flight and Hillel Glazer.

This interview was recorded at GOTO Copenhagen 2025.https://gotocph.comAdrian Mouat - Developer Relations at Chainguard & Author of "Using Docker"Kief Morris - Author of "Infrastructure as Code" & Distinguished Engineer at ThoughtworksSam Newman - Author of "Building Microservices" & "Monolith to Microservices"RESOURCESAdrianhttps://bsky.app/profile/adrianmouat.comhttps://twitter.com/adrianmouathttps://github.com/amouathttps://linkedin.com/in/adrianmouathttp://www.adrianmouat.comKiefhttps://bsky.app/profile/kief.comhttps://twitter.com/kiefhttps://github.com/kiefhttps://www.linkedin.com/in/kiefmorrishttps://infrastructure-as-code.comhttps://kief.comSamhttps://twitter.com/samnewmanhttps://www.linkedin.com/in/samnewmanhttp://samnewman.iohttp://samnewman.io/bloghttps://github.com/snewmanABSTRACTIn this session, Sam Newman will interview Kief Morris and Adrian Mouat, both experts in their field. We will explore the current reality of security in the container world, how infrastructure automation is impacted by AI, and whether platform teams are actually working. We'll also be taking lots of questions from the audience! [...]Read the full abstract here:https://gotocph.com/2025/sessions/3938RECOMMENDED BOOKSAdrian Mouat • Using Docker • https://amzn.to/3PEYIJLLiz Rice • Container Security • https://amzn.to/3oU4iJeKief Morris • Infrastructure as Code • https://amzn.to/4e6EBQcSam Newman • Building Resilient Distributed Systems • https://www.oreilly.com/library/view/building-resilient-distributed/9781098163532Sam Newman • Monolith to Microservices • https://amzn.to/2Nml96EBlueskyInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Birgitta Boeckeler, a Distinguished Engineer and consultant focused on AI-assisted software delivery at Thoughtworks, joins host Priyanka Raghavan for a deep dive into harnesses for AI agents. The episode begins by unpacking the concept of harnesses and harness engineering before exploring the core building blocks — guides and sensors — that help AI agents operate more reliably in engineering environments. Priyanka and Birgitta discuss practical implementations of harnesses in real-world workflows, including the use of guides with .MD files and sensors with tools such as SonarQube and Semgrep, which steer agent behavior. The episode also explores how harnesses integrate with existing CI/CD pipelines and pull-request processes. Birgitta describes how stronger harnesses can improve trust in AI-generated code, while emphasizing that harnesses themselves require continuous maintenance as underlying foundation models evolve. The episode concludes with a thoughtful discussion on accountability between humans and agents, along with future directions for harness engineering and AI-assisted software development.

Arvind Jain is the Founder & CEO of Glean, the enterprise AI leader valued at $7.2 billion after raising more than $770 million from investors including Kleiner Perkins, DST Global, and more. Before Glean, Arvind co-founded Rubrik, helping build it into one of the world's leading cloud infrastructure companies before its successful IPO. Prior to that, he spent over a decade at Google as a Distinguished Engineer, working across Search, Maps, and YouTube. AGENDA: 00:00 – The Shocking Truth About Frontier AI: 90% Is Already a Commodity 02:04 – Can OpenAI & Anthropic Own Enterprise AI? The Battle for the Workplace Begins 10:18 – Will OpenAI and Anthropic Win the App Layer 18:03 – Microsoft Is the Real Enemy… Not OpenAI? 20:53 – "Where's the ROI?" Why Enterprises Are Starting to Question the AI Hype 26:00 – Will AI Replace Your Job? Harry & Arvind's Heated Clash Over the Future of Work 33:43 – The Billion-Dollar Mistake Every AI Company Is Making on Token Spend 39:20 – The AI Land Grab Is On: Why Founders Must Move Now or Lose Forever 42:20 – China vs America: Who Really Wins the AI Race? 47:20 – Rapid Fire: The Future of Computer Science, Hiring, Fundraising & AI's Biggest Winners  

My guest today is Elangovan Shanmugam,  a seasoned software professional with over 30 years of experience. Among the multiple roles Elangovan has played are Distinguished Engineer, Director of Engineering, leading strategic AI transformation initiatives in a large organization.In this conversation Elangovan:Traces his journey from FoxPro and 4MB RAM days to AI engineeringShares how software evolved from standalone systems to connected business ecosystems.A major theme is that the problem often stays the same, but the solution changes.Elangovan describes AI agents as digital humans that help people interact naturally with systems.He explains that in software patents, the method of solving a problem can be patentable.His advice for professionals: embrace AI, keep evolving, and don't stay in a comfort zone.Elangovan Shanmugam is a seasoned software professional with over 30 years of experience. He has held multiple roles—Distinguished Engineer, Director of Engineering, and now leading strategic AI transformation initiatives. Most recently, he led a 40-person organization through a fundamental shift: teaching traditional engineering teams to think and operate as AI engineering organizations. He has worked at the intersection of deep technical architecture and enterprise leadership—helping CTOs and organizations figure out what changes when AI becomes native to how you build. He also has the distinction of receiving multiple innovation awards and has over 20 patents issued to his credit!He is super passionate about solving tough problems for customers!He may be reached at: elangovan.shanmugam @ gmail.com

Send us Fan MailOn this episode of Embedded Insiders, Ethan Gibbs, CEO of Embedder, joins us to discuss his company's AI firmware engineering platform. Built for embedded development, the Embedder hardware-aware coding agent is designed to reduce the time it takes engineers to read datasheets and write the code. It poses the question: What happens when AI actually understands the hardware?Next, Rich and Steve Hanna, a Distinguished Engineer at Infineon, discuss the increasing capabilities and access to AI tools and how they can potentially help cybercriminals by providing more sophisticated tools that make their job easier. How is AI reshaping the threat landscape, and what does it mean for the future of cybersecurity?For more information, visit embeddedcomputing.com

As AI gets smarter, it raises the bar for the bad guys to do their bad things. We are in a constant race to stay ahead, and there is seemingly no end in sight. To understand what this means and what can be done to (hopefully) stay ahead of the curve, I spoke to Steve Hanna, a Distinguished Engineer from Infineon, on this week's Embedded Executives podcast.

Description: In this episode of Cisco Champion Radio, we explore the evolution of edge computing and how Cisco is helping organizations bridge the gap between distributed locations and centralized control. We sit down to discuss the Cisco Unified Edge platform, a modular solution launched in November 2022 that is redefining how industries manage their infrastructure. Designed to meet the demands of modern enterprise environments, Unified Edge integrates compute, networking, and storage into a single, streamlined chassis, making it easier than ever to deploy and scale workloads—including AI and IoT applications. Key topics covered in this episode include: Modular Efficiency: How the platform's modular design allows for easy upgrades, maintenance, and flexible remote management across diverse industries. Intersight Integration: A look at how Unified Edge operates exclusively in Intersight-managed mode to provide seamless provisioning and configuration. Simplified Fleet Management: How Cisco leverages intent-based automation to simplify policy creation and deployment across multiple edge sites. Validated Blueprints: Insights into how Cisco Validated Designs serve as a roadmap for managing complex clusters and workloads at scale. Whether you are managing a small distributed network or a large-scale industrial deployment, this episode provides a comprehensive look at how Unified Edge simplifies infrastructure and empowers your team to focus on innovation. Cisco guest Ronnie Chan, Leader, Product Management, Edge AI Platform Cisco Champion Hosts Liam Keegan, VP of Technology, RX3 Communications, Inc. Rickey Keith, Vertical Systems Engineer, WWT   Elliot Dierksen, Distinguished Engineer, Greyson Technologies, Inc. Moderator Danielle Carter, Cisco, CCR Program/ Customer Voices Listen now to learn how you can transform your edge strategy.

Birgitta Böckeler, Distinguished Engineer at Thoughtworks, returns to discuss the rapid evolution of AI in software delivery. She touches on the evolution from vibe coding, the changing tools landscape and the more autonomous agents that, besides higher velocity, introduce higher risk. Read a transcript of this interview: https://bit.ly/4o62JHU Newsletter: Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter InfoQ online certification cohorts: Online cohorts for senior engineers and architects, built around QCon talks. Join a 5-week confidential peer group to validate your approach and apply practitioner frameworks to the technical challenges you face at work. Learn more: https://certification.qconferences.com/ Upcoming Events: QCon AI Boston 2026 (June 1-2, 2026) Learn how real teams are accelerating the entire software lifecycle with AI. https://boston.qcon.ai QCon San Francisco 2026 (November 16-20, 2026) https://qconsf.com/ The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - X: https://x.com/InfoQ?from=@ - LinkedIn: https://www.linkedin.com/company/infoq/ - Facebook: https://www.facebook.com/InfoQdotcom# - Instagram: https://www.instagram.com/infoqdotcom/?hl=en - Youtube: https://www.youtube.com/infoq - Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of practitioners. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

Podcast: (CS)²AI Podcast Show: Control System Cyber SecurityEpisode: 132: Solving Problems at Scale: Kenny Mesker on OT Cybersecurity Strategy, Risk, and LeadershipPub date: 2026-06-02Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationKenny Mesker, OT Cybersecurity Strategist and Distinguished Engineer at Chevron, joins Derek Harp to share his remarkable journey from growing up on a farm in West Texas to becoming one of the industry's leading voices in operational technology (OT) cybersecurity.With more than 30 years of experience spanning electric utilities, SCADA systems, industrial control systems, and cybersecurity, Kenny reflects on the evolution of OT security from the days of air-gapped networks to today's interconnected digital environments. He discusses how a passion for problem-solving led him from electrical engineering into industrial operations and ultimately into cybersecurity strategy.Kenny offers practical advice for professionals looking to enter the OT cybersecurity field, explaining why hands-on operational experience remains one of the most valuable foundations for success. He also explores the challenges of IT/OT convergence, the importance of risk assessment, and how cybersecurity leaders must think beyond individual systems to protect entire organizations and critical infrastructure.Looking ahead, Kenny shares his perspective on artificial intelligence, cloud technologies, and the future of OT architectures, highlighting both the opportunities and challenges these emerging technologies will bring to industrial environments.Whether you're an engineer, cybersecurity professional, student, or industry leader, this episode provides valuable insights into building a successful OT cybersecurity career while helping protect the systems that power modern society.The podcast and artwork embedded on this page are from Derek Harp, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

Dave Airlie, a Distinguished Engineer at Red Hat, speaks with host Gregory M. Kapfhammer about Linux kernel maintenance. After over-viewing the scale and structure of the Linux kernel, they dive deep into the review and validation of kernel patches, drawing on examples from the GPU subsystem. After discussing the features and benefits of the Linux kernel's maintenance model, they also explore kernel maintenance best practices and the supporting tools for these practices. Dave and Gregory also discuss topics such as the integration of Rust code in the Linux kernel and the ways in which AI-driven code review are influencing kernel maintenance.

Kenny Mesker, OT Cybersecurity Strategist and Distinguished Engineer at Chevron, joins Derek Harp to share his remarkable journey from growing up on a farm in West Texas to becoming one of the industry's leading voices in operational technology (OT) cybersecurity.With more than 30 years of experience spanning electric utilities, SCADA systems, industrial control systems, and cybersecurity, Kenny reflects on the evolution of OT security from the days of air-gapped networks to today's interconnected digital environments. He discusses how a passion for problem-solving led him from electrical engineering into industrial operations and ultimately into cybersecurity strategy.Kenny offers practical advice for professionals looking to enter the OT cybersecurity field, explaining why hands-on operational experience remains one of the most valuable foundations for success. He also explores the challenges of IT/OT convergence, the importance of risk assessment, and how cybersecurity leaders must think beyond individual systems to protect entire organizations and critical infrastructure.Looking ahead, Kenny shares his perspective on artificial intelligence, cloud technologies, and the future of OT architectures, highlighting both the opportunities and challenges these emerging technologies will bring to industrial environments.Whether you're an engineer, cybersecurity professional, student, or industry leader, this episode provides valuable insights into building a successful OT cybersecurity career while helping protect the systems that power modern society.

Welcome to the Persuaion Lab!I am honored to have Jeff Doolittle on the show, a veteran software architect with over 25 years of experience whose core mission is helping make good software professionals great. He currently serves as a Distinguished Engineer and Principal Architect at Trimble. Throughout his three decades in the software industry, Jeff has tackled complex business challenges, previously holding CTO roles for a boutique consulting firm and an AgTech SaaS startup. Jeff regularly applies the science of persuasion to the world of software engineering and architecture.In this episode we include tips on how to influence, persuade and negotiate with executives and technology teams. We also discuss Jeff's forbear, Jimmy Doolittle who lead the heroic one way trip of 16 B-25s off an aircraft carrier in World War II. And Jeff gives us insights on how to work with and manage AI in your business and with teams.Jeff holds a Master of Arts in Transformational Leadership, blending his technical expertise with a deep passion for empathy, team empowerment, and clear communication. Whether navigating difficult negotiations with stakeholders, aligning engineering teams, or dissecting business successes and failures.We give you great content in the thepersuasionlab.com website. Gain access to the latest research and premium content (dozens of video and audio lessons, popular deal point negotaiton scripts and more) by supporting the cannel and becoming a subscriber to The Persuasion Lab, or join our in person and streamed monthly class, The  Negotiation DojoⓇ  more information here.Questions about the lab? Let us know at martin.medeiros@thepersuasionlab.com. The host and our guests anonymize case studies, stories, and examples. Any resemblance to real persons and similar circumstances is coincidental. Nothing in this podcast should be relied upon as legal, financial, psychological, or medical advice. As such, you should not rely solely on the information in this podcast. Please consult the relevant licensed professional in your jurisdiction to get information before you change your position in reliance on any information presented. Support the showIf you like the content, please Support the showSubscribe to and attend the Negotiation DoJo classes here.Share this episode in your social networks. 

This week on the Microsoft Threat Intelligence Podcast, host⁠ ⁠⁠Sherrod DeGrippo speaks with Danny Adamitis, Distinguished Engineer at Lumen Technologies' Black Lotus Labs who break down how the Russian state-linked threat actor Forest Blizzard is exploiting home and small office routers to hijack DNS traffic, enabling large-scale surveillance and targeted credential theft. The conversation highlights how this low-cost approach scales globally, why unmanaged routers have become a critical weak point, and how tactics, from brute force to token theft to DNS hijacking continue to evolve.  In this episode you'll learn:       How Forest Blizzard exploits home routers to intercept DNS traffic  Why unmanaged routers are a major blind spot in modern security  How tactics have evolved from brute force to token-based access  Some questions we ask:      What defines Forest Blizzard and how they operate?  How does this impact machine-to-machine or service account security?  What are the broader third-party or downstream risks?  Resources:   View Danny Adamitis on LinkedIn   View Sherrod DeGrippo on LinkedIn   Justice Department Conducts Court-Authorized Disruption of DNS Hijacking Network Controlled by a Russian Military Intelligence Unit  FrostArmada: All thriller, no (malware) filler    Discover and follow other Microsoft podcasts at microsoft.com/podcasts     Get the latest threat intelligence insights and guidance at Microsoft Security Insider    The Microsoft Threat Intelligence Podcast is produced by Microsoft, Hangar Studios and distributed as part of N2K media network. 

Clearwater Analytics has gone from concept to over 800 AI agents in production, and Darrel Cherry, VP and Distinguished Engineer, shares the story behind that journey. In conversation with Arvind Mathur, Executive in Residence at AWS, Cherry traces how Clearwater built its own AI studio, multi-agent orchestration system, and no-code agent development environment before most of today's tools and frameworks even existed.Cherry also details how Clearwater ensures accuracy in a zero-error-tolerance industry, from building a custom LLM evaluation framework to maintaining full audit trails across every agent action. This episode offers leaders a practical blueprint for scaling AI from internal experimentation to enterprise-wide adoption, while maintaining the accuracy and trust that high-stakes industries demand.

Guest: Grant Dasher, ex-CISA, ex-Google, Distinguished Engineer, Google (again) Topics: Why is the  "Secure-by-Design" movement gaining so much momentum now, and is it a response to the failure of "bolted-on" security, or just a natural evolution of cloud maturity? In a future Secure-by-Design world, is identity the only perimeter that actually matters anymore? Or is this a cliche? As we move toward a world of autonomous agents, how does our approach to machine identity need to change? Are we just talking about more complex Service Accounts, or do we need a fundamental shift in how we authorize "intent" What is your  advice  to people who want to move fast and cannot wait for Secure by Design / Default  AI to be decided by consensus or IETF, NIST or OASIS committee? We love the argument that modern AI agents are effectively repeating the mistakes of 1960s payphones - mixing the data plane and the control plane. What is your rebuttal? How do we build "Agentic Security" that doesn't fall for 60-year-old traps? Customers are torn between their Zero Trust implementations and their AI adoption. Is Zero Trust now "legacy," or is it the prerequisite for everything we're trying to do with AI agents?   Is there Zero Trust for AI? Is this a fake buzzword or technical reality? Resources: Video version EP256 Rewiring Democracy & Hacking Trust: Bruce Schneier on the AI Offense-Defense Balance EP133 The Shared Problem of Alerting: More SRE Lessons for Security EP85 Deploy Security Capabilities at Scale: SRE Explains How Google SRE books "Atomic Accidents" book (yes, really)

BONUS: Why a Distinguished Engineer Stopped Reading Code — Lights-Out Codebases and the End of the IC Philip Su has spent two decades at the highest levels of software engineering — Microsoft, Meta (where he reached Distinguished Engineer, IC9), OpenAI, and now building his own product solo with AI. In this episode, he makes a provocative case: the individual contributor role as we know it is over, code reviews are becoming a liability, and the best engineers are already managing AI agents instead of writing code themselves. From Amazon Warehouse Floors to OpenAI "Every day at work, I lifted six tons of packages with my arms. No one learned my name. And it was the structure — the ability to leave work behind when I clocked out — that pulled me out of a spiral."   Philip's path through tech is anything but typical. After scaling Facebook's London engineering office from a dozen engineers to 500+, he stepped away from Big Tech entirely. During Peak 2021, he worked the floor at Amazon's flagship warehouse south of Seattle — 11-hour shifts, processing 15,000 packages a day. He documented the experience in his Peak Salvation podcast, exploring depression, the divide between the wealthy and the working class, and the maddening inefficiencies inside one of the world's largest employers. That experience reshaped how he thinks about work, systems, and what actually matters when you strip away titles and stock options. He later joined OpenAI as an individual contributor — going from leading hundreds of engineers to writing code again — before leaving to build Superphonic, an AI-powered podcast player. No More Code Reviews: The Lights-Out Codebase "We'll one day be scared, positively petrified, to use any mission-critical software known to have allowed human interference in its codebase."   Philip borrows the concept of "lights-out" from data centers that run with zero human workers and applies it to codebases. A lights-out codebase is one where no human ever sees or edits the code. He's already built two apps this way — Tanya's Snowfield and OTD: On This Day — without looking at a single line of code from repository creation through production release. His argument is not just about efficiency. Code reviewers are becoming the bottleneck. The volume of AI-generated code is already too high for humans to keep up, and the same LLM that wrote the code often catches bugs that another instance of itself introduced. Philip has been running both Codex and Cursor as PR reviewers on GitHub, and has been surprised by how often they identify issues in both human- and AI-generated code. He believes we are approaching a threshold where human intervention in codebases will be seen as risky and irresponsible — not the other way around. AI Killed the Individual Contributor "You're not building the thing anymore. You're pondering and tweaking the machine that builds the thing."   In his widely discussed essay "AI Killed the Individual Contributor", Philip argues that maximizing productivity with AI now requires engineers to spend their time on what are essentially management tasks: setting priorities, resolving conflicts, delegating to agents, reviewing output, and giving feedback. The IC role isn't disappearing because AI codes better — it's disappearing because the highest-leverage use of an engineer's time has shifted from writing code to orchestrating the systems that write code. Right now, it feels like managing a team of barely competent interns. But Philip expects that to change fast. Soon it will feel like managing high performers who are faster and more capable than you — and the engineers who thrive will be the ones who learned to let go of the keyboard and focus on judgment, direction, and taste. Building Solo with AI: The Superphonic Experiment "20x productivity means we have 20x fewer PMs than we need."   Philip is putting his thesis to the test with Superphonic, an AI-powered podcast player he's building essentially as a solo founder. What would have required a team two years ago, he now ships alone — leveraging AI agents for coding, testing, and review. But the productivity multiplier creates its own problems. When you can build 20x faster, the bottleneck shifts from engineering capacity to product judgment. You need to know what to build, not just how to build it. Philip's reference to The Mythical Man-Month is deliberate: adding more people (or agents) doesn't solve the fundamental challenge of building the right thing. The hardest part of being both the architect and the manager of your AI agents is knowing when the model breaks down — when you need to step in and do the work yourself rather than delegating. What Teams Get Wrong About AI Integration "There is a lot more that can be done to increase the quality of AI output even if all progress on foundation models stops."   For Scrum Masters and agile coaches helping teams adopt AI tools, Philip's warning is clear: don't treat AI as just another developer on the team. The integration requires rethinking how work is structured, how quality is assured, and what it means to be an engineer. Teams that bolt AI onto existing workflows without changing the underlying process will get marginal gains at best. The ones that redesign their workflows around AI capabilities — including accepting that humans may not need to review every line of code — will see transformational results. Philip's practical advice: do the work yourself first. Understand what the AI is doing before you delegate wholesale. The engineers who skip this step lose the judgment they need to manage the output effectively. About Philip Su Philip Su is a Distinguished Engineer (IC9) who scaled Facebook's London office from a dozen engineers to 500+, served as site lead at OpenAI, and now builds Superphonic — an AI-powered podcast player. He writes about the future of software work at Molochinations on Substack. LinkedIn   You can link with Philip Su on LinkedIn.

James Hamilton, Amazon SVP and Distinguished Engineer – one of the pioneers of the Cloud – joins us to celebrate its 20th anniversary. Where would we be today without cloud computing?!HP Imagine in NYC was a blast, and I sit down to talk printing trends in the home with Sue Richards, Division President of Consumer Printing Solutions and Services at HPTech analyst Carmi Levy chats with us about Apple's affordable MacBook Neo, a laptop that starts at just $499 for studentsThank you to Visa, Norton, and SANDISK for your incredible support. Get a huge discount on Norton anti-malware at norton.com/techitout 

Marc Brooker, VP and Distinguished Engineer at AWS, joins host Kanchan Shringi to explore specification-driven development as a scalable alternative to prompt-by-prompt "vibe coding" in AI-assisted software engineering. Marc explains how accelerating code generation shifts the bottleneck to requirements, design, testing, and validation, making explicit specifications the central artifact for maintaining quality and velocity over time. He describes how specifications can guide both code generation and automated testing, including property-based testing, enabling teams to catch regressions earlier and reason about behavior without relying on line-by-line code review. The conversation examines how spec-driven development fits into modern SDLC practices; how AI agents can support design, code review, documentation, and testing; and why managing context is now one of the hardest problems in agentic development. Marc shares examples from AWS, including building drivers and cloud services using this approach, and discusses the role of modularity, APIs, and strong typing in making both humans and AI more effective. The episode concludes with guidance on rollout, evaluation metrics, cultural readiness, and why AI-driven development shifts the engineer's role toward problem definition, system design, and long-term maintainability rather than raw code production. Brought to you by IEEE Computer Society and IEEE Software magazine.

Jeffrey Snover is retired and spending his time as a Philosopher-Errant, attending Science & Technology conferences and giving public talks. Prior to retiring in 2026, he was a Distinguished Engineer at Google and a Technical Fellow at Microsoft where he was an AI Architect in Office, the Chief Architect for Windows Server Azure Stack. Snover is the inventor of Windows PowerShell, an object-based distributed automation engine, scripting language, and command line shell.Snover joined Microsoft in 1999 as divisional architect for the Management and Services Division, providing technical direction across Microsoft's management technologies and products.Snover held 8 patents prior to joining Microsoft, and has registered over 30 patents since. He is a frequent speaker at industry and research conferences on a variety of management and language topics.You can find Jeffrey on the following sites:BlogBlueskyXLinkedInPLEASE SUBSCRIBE TO THE PODCASTSpotifyApple PodcastsYouTube MusicAmazon MusicRSS FeedYou can check out more episodes of Coffee and Open Source on https://www.coffeeandopensource.comCoffee and Open Source is hosted by Isaac Levin

In this episode, Simon speaks with Joe Magerramov (VP & Distinguished Engineer) to explore the transformative impact of AI-assisted coding on software development workflows. Joe shares his team's real-world experience achieving a 10x increase in code throughput using agentic development, but warns that simply bolting AI agents onto existing practices is like "adding a turbocharger to a car with narrow tires and old brakes." We dive deep into the critical infrastructure changes needed to sustain high-velocity development, including the mathematics of bug probability at scale, innovative testing approaches inspired by aviation industry practices, and the evolution of CI/CD pipelines that can handle dozens of commits per hour rather than per day. The conversation reveals why the biggest opportunity isn't just writing more code faster, but using AI to make previously impractical engineering practices economically viable—from comprehensive end-to-end testing with fake dependencies to rapid feedback loops that prevent the entire development pipeline from grinding to a halt when issues arise. https://blog.joemag.dev/2025/10/the-new-calculus-of-ai-based-coding.html

Distinguished Software Engineer Ryan Spletzer joins The PowerShell Podcast to talk about building a long-term career in tech through curiosity, continuous learning, and strong community connections. Ryan shares how PowerShell helped shape his path from early work in SharePoint, automation, and identity management to leading AI initiatives at Autodesk, where his team built an internal ChatGPT-style solution using Azure OpenAI before enterprise ChatGPT options existed. They also dig into AI-assisted coding, mentorship, and how foundational software engineering skills still matter more than ever. Ryan offers practical guidance for using AI tools responsibly, overcoming imposter syndrome, and growing by learning adjacent domains like authentication, networking, and data engineering.   Key Takeaways: • AI is a force multiplier for experienced engineers, but mentorship is critical to help early-career engineers learn how to ask the right questions and avoid “blind troubleshooting.” • Breadth matters as you level up. Understanding adjacent domains and collaborating well with others becomes a key differentiator at senior and staff levels. • PowerShell remains a career accelerator. Ryan explains how PowerShell led him into infrastructure automation, identity, and modern auth—and why it's still his go-to tool for quick, high-impact scripting today.   Guest Bio: Ryan Spletzer is a Distinguished Software Engineer at Autodesk, where he works in an internal organization focused on AI, data, and automation. With a background spanning SharePoint development, .NET engineering, identity systems, and enterprise automation, Ryan has spent years building tools that scale across organizations. He's also a strong advocate for continuous learning and mentorship.   Resource Links: Ryan links - https://www.spletzer.com/about/ Ryan's blog - https://www.spletzer.com/ Andrew's links - https://andrewpla.tech/links PDQ Discord – https://discord.gg/PDQ PowerShell Wednesdays – https://www.youtube.com/playlist?list=PL1mL90yFExsix-L0havb8SbZXoYRPol0B The PowerShell Podcast on YouTube: https://youtu.be/ryZ7OdvCNZo

This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubCheck out more here:https://gotopia.tech/episodes/405Yevgeniy "Jim" Brikman - Author of "Fundamentals of DevOps and Software Delivery" & Co-Founder of GruntworkKief Morris - Author of "Infrastructure as Code" & Distinguished Engineer at ThoughtworksRESOURCESYevgeniy (Jim)https://bsky.app/profile/brikis98.bsky.socialhttps://twitter.com/brikis98https://github.com/brikis98/https://www.linkedin.com/in/jbrikmanhttps://www.ybrikman.comKiefhttps://bsky.app/profile/kief.comhttps://twitter.com/kiefhttps://github.com/kiefhttps://www.linkedin.com/in/kiefmorrishttps://infrastructure-as-code.comhttps://kief.comLinkhttps://terragrunt.gruntwork.ioDESCRIPTIONYevgeniy (Jim) Brikman, author of "Fundamentals of DevOps and Software Delivery", discusses his journey from app developer to DevOps advocate, triggered by LinkedIn's deployment crisis that required freezing all product development for months. The discussion with Kief Morris explores the practical definition of DevOps as efficient software delivery methodology, the relationship between infrastructure as code and application orchestration tools, the necessity of frameworks over custom wrapper scripts, and emerging paradigms including infrastructure from code, infrastructure as graph models, and interactive runbooks.Jim emphasizes that while new approaches are interesting, maturity and standardization in existing tools often provides more value than constantly chasing new technologies.RECOMMENDED BOOKSYevgeniy Brikman • Fundamentals of DevOps and Software Delivery • https://amzn.to/3WMPMFUYevgeniy Brikman • Terraform: Up and Running • https://amzn.to/4otpxQLYevgeniy Brikman • Hello, Startup • https://amzn.to/3JmV0VRKief Morris • Infrastructure as Code • https://amzn.to/4e6EBQcMauricio Salatino • Platform Engineering on Kubernetes • https://amzn.to/3X14qZKCharity Majors, Liz Fong-Jones & George Miranda • Observability Engineering • https://amzn.to/38scbmaBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

What are the advantages of spec-driven development compared to vibe coding with an LLM? Are these recent trends a move toward declarative programming? This week on the show, Marc Brooker, VP and Distinguished Engineer at AWS, joins us to discuss specification-driven development and Kiro.

Vjaceslavs Klimovs, Distinguished Engineer at CoreWeave, reflects on building security programs in AI infrastructure companies operating at massive scale. He explores how security observability must be the foundation of any program, how to ensure all security work connects to concrete threat models, and why AI agents will make previously tolerable security gaps completely unacceptable.  Vjaceslavs also discusses CoreWeave's approach to host integrity from firmware to user space, the transition from SOC analysts to detection engineers, and building AI-first detection platforms. He shares insights on where LLMs excel in security operations, from customer questionnaires to forensic analysis, while emphasizing the continued need for deterministic controls in compliance-regulated environments. Topics discussed: The importance of security observability as the foundation for any security program, even before data is perfectly parsed. Why 40 to 50 percent of security work across the industry lacks connection to concrete threat models or meaningful risk reduction. The prioritization framework for detection over prevention in fast-moving environments due to lower organizational friction. How AI agents will expose previously tolerable security gaps like over-provisioned access, bearer tokens, and lack of source control. Building an AI-first detection platform with assistance for analysis, detection writing, and forensic investigations. The transition from traditional SOC analyst tiers to full-stack detection engineering with end-to-end ownership of verticals. Strategic use of LLMs for customer questionnaires, design doc refinement, and forensic analysis. Why authentication and authorization systems cannot rely on autonomous AI decision-making in compliance-regulated environments requiring strong accountability.

Ground your AI agents on your organization's knowledge, pulling from multiple sources at once, connecting the dots automatically, and getting more accurate, context-rich answers without doing manual orchestration with Foundry IQ in Microsoft Foundry. Navigate complex, distributed data across Azure stores, SharePoint, OneLake, MCP servers, and even the web, all through a single knowledge base that handles query planning and iteration for you. Reuse the Azure AI Search assets you already have, build new knowledge bases with minimal setup, and control how much reasoning effort your agents apply. As you develop, you can rely on iterative retrieval only when it improves results, saving time, tokens, and development complexity.  Pablo Castro, Azure AI Search CVP and Distinguished Engineer, joins Jeremy Chapman to share how to build smarter, more capable AI agents, with higher-quality grounded answers and less engineering overhead. ► Link References To learn more check out https://aka.ms/FoundryIQ For more details on the evaluation metric discussed on this show, read our blog at https://aka.ms/kb-evals For more on Microsoft Foundry go to https://ai.azure.com/nextgen ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics ► QUICK LINKS: 00:00 - Foundry IQ in Microsoft Foundry 01:02 - How it's evolved 03:02 - Knowledge bases in Foundry IQ 04:37 - Azure AI Search and retrieval stack 05:51 - How it works 06:52 - Visualization tool demo 08:07 - Build a knowledge base 10:10 - Evaluating results 13:11 - Wrap up

In this episode of ACM ByteCast, Bruke Kifle hosts Russ Cox, Distinguished Engineer at Google. Previously, he was the Go language technical lead at Google, where he led the development of Go for more than a decade, with a particular focus on improving the security and reliability of using software dependencies. With Jeff Dean, he created Google Code Search, which let developers grep the world's public source code. He also worked for many years on the Plan 9 operating system from Bell Labs and holds degrees from Harvard and MIT. Russ is a member of the ACM Queue Editorial Board. In the interview, Russ details his journey from the Commodore 64 to Bell Labs, where he met Rob Pike (a co-designer of Go) and contributed to Plan 9 working alongside other legendary figures. Russ shares lessons learned while working on Google Code Search (a highly complex C++ program) and how that informed his later approach to the development and evolution of Go. They delve into the role of Go in the AI era and the future of computing. Russ also discusses the open-source community and collaboration around Go, touches on mentorship and leadership, and offers advice for aspiring builders.

In this episode, Tim Szigeti, Distinguished Engineer talks to us about Quantum computing, the latest progresses and what are the potential impact and opportunities it creates. We also discuss what is Cisco doing in the Quantum field.

Hoje o papo é sobre tradição e tecnologia! Neste episódio, mergulhamos em como o Banco do Brasil vem utilizando sua experiência de 200 anos para manter-se à frente na adoção das novas tecnologias que realmente contribuem para a vida dos seus clientes. Vem ver quem participou desse papo: André David, o host que dá bandeira para os hackers Paulo Silveira, CVO do grupo Alun e co-fundador da Alura Paula Moura, Principal Developer no Banco do Brasil Caio Soares, Staff Engineer no Banco do Brasil Igor Régis, Distinguished Engineer no Banco do Brasil

In this two-part episode, we explore the evolving role of artificial intelligence in enterprise networking—not just as a buzzword, but as a powerful tool for transformation. Cisco experts: Joe Clarke, Distinguished Engineer; Kareem Iskander, Principal Engineer and Technical Advocacy Lead; and Hank Preston, Distinguished Architect, join host Matt Saunders, Community Manager for the Cisco Learning Network, is joined by three. Together, they dive into how AI is reshaping network automation, operations, and the skills needed to thrive in this new era. The conversation covers foundational definitions of AI, the rise of agentic AI, and practical strategies for network engineers—whether you're writing scripts or not—to leverage AI as a tool for efficiency and insight. AMA with Kareem on the Cisco Learning Network: https://learningnetwork.cisco.com/s/question/0D5Kd0000BkfcuLKQQ/ask-me-anything-ai

This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubRead the full transcription of the interview here:https://gotopia.tech/episodes/385Kief Morris - Author of "Infrastructure as Code" & Distinguished Engineer at ThoughtworksAbby Bangser - Principal Engineer at Syntasso & Team Topologies AdvocateRESOURCESKiefhttps://bsky.app/profile/kief.comhttps://twitter.com/kiefhttps://github.com/kiefhttps://www.linkedin.com/in/kiefmorrishttps://kief.comAbbyhttps://bsky.app/profile/abangser.bsky.socialhttps://twitter.com/a_bangserhttps://github.com/abangserhttps://www.linkedin.com/in/abbybangserhttps://www.syntasso.io/members-area/abby/profileLinkshttps://infrastructure-as-code.comDESCRIPTIONAbby Bangser (Principal Engineer at Syntasso) speaks with Kief Morris (Distinguished Engineer at Thoughtworks consultant and Author of "Infrastructure as Code") about the evolution of infrastructure as code over the past decade. They discuss how the field has grown from simple server configuration management to complex cloud architectures, the challenges of current tooling, and emerging solutions like System Initiative.The conversation explores the importance of abstraction layers, the application of software development principles to infrastructure, and how AI might transform the field. They emphasize that infrastructure decisions must align with business needs rather than being treated as generic plumbing, highlighting the ongoing need for platform engineering and developer experience considerations.RECOMMENDED BOOKSKief Morris • Infrastructure as Code • https://amzn.to/4e6EBQcMatthew Skelton & Manuel Pais • Team Topologies • http://amzn.to/3sVLyLQDave Thomas • simplicity • https://amzn.to/43FghBJDave Thomas & Andy Inspiring Tech Leaders - The Technology PodcastInterviews with Tech Leaders and insights on the latest emerging technology trends.Listen on: Apple Podcasts SpotifyBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

In this episode, we sit down with Bill Davenport, Senior Director for Connectivity and Technology Policy at Cisco, and Matt Swartz, Distinguished Engineer at Cisco, to discuss Cisco's recent petition to the FCC to enable 6 GHz Wi-Fi on cruise ships. Modern cruises operate like floating cities, utilizing thousands of access points that support tens of thousands of connected devices for both passengers and crew. We talk about how technology has evolved the cruise industry, and how updated regulations could enhance passenger experiences, crew communications, and ship operations. Listen to learn more about how the petition is charting a new course for connectivity.For Wi-Fi AllianceFor Membership InfoGeneral Contact

This episode dives into "Category-Theoretic Analysis of Inter-Agent Communication and Mutual Understanding Metric in Recursive Consciousness." The paper presents an extension of the Recursive Consciousness framework to analyze communication between agents and the inevitable loss of meaning in translation. We're thrilled to feature the paper's author, Stan Miasnikov, Distinguished Engineer, AI/ML Architecture, Consumer Experience at Verizon, to walk us through the research and its implications.Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.

What’s the next era of network management and operations? Total Network Operations talks to Mahesh Jethanandani, Chair of NETCONF Working Group and Distinguished Engineer at Arrcus. Mahesh describes a workshop from December of 2024 that sought to investigate the past, present, and future of network management and operations. He talks about the IETF’s role in... Read more »

What’s the next era of network management and operations? Total Network Operations talks to Mahesh Jethanandani, Chair of NETCONF Working Group and Distinguished Engineer at Arrcus. Mahesh describes a workshop from December of 2024 that sought to investigate the past, present, and future of network management and operations. He talks about the IETF’s role in... Read more »

The tech landscape never stops evolving — and neither does Cisco's commitment to keeping IT professionals ahead of the curve. In this episode of Cisco Champion Radio, we dive deep into the latest updates to the Cisco Certification Portfolio, designed to better align with the skills, roles, and technologies shaping the future of networking. Join us as we unpack what's new across key domains — from DevNet's expanded focus on automation and programmability, to Cybersecurity certifications that reflect today's threat landscape, to innovations in Collaborationand Data Center tracks that mirror real-world infrastructure demands. Whether you're just starting out, looking to upskill, or guiding your team's learning journey, this conversation will give you insider insights into how these updates can support your career path and help you stay competitive in an ever-changing industry. No buzzwords. No fluff. Just real talk from Champions and Cisco experts who live this stuff every day. Resources Rev Up: https://learningnetwork.cisco.com/s/question/0D5Kd0000BSI6CwKQL/-learn-and-earn-up-to-45-continuing-education-ce-credits-with-the-latest-rev-up-to-recert-bonus-launching-today-?ccid=revup-bonus25&dtid=web&oid=champions-podcast DevNet Sandboxes: https://developer.cisco.com/site/sandbox/ Certification Roadmaps: https://learningnetwork.cisco.com/s/cisco-certification-roadmaps?ccid=revup-bonus25&dtid=web&oid=champions-podcast CML: https://developer.cisco.com/docs/modeling-labs/ Cisco guest Mubasher Nawaz, Cisco Certification Portfolio Manager for Learn, Cisco Cisco Champion hosts Liam Keegan, Advisor David Penaloza, Assoc. Director – LAN Network Architecture, Novartis Andreas Baekdahl, Senior DevNet Architect, Wingmen Solutions Elliot Dierksen, Distinguished Engineer, Greyson Technologies Inc. Moderator Danielle Carter, Customer Voices and Cisco Champion Program

Is AI taking over the craft of coding? Many engineers now face an identity crisis.In the episode, Distinguished Engineer Annie Vella discusses her research on AI's impact on software development. She explores the “software engineering identity crisis” as the craft of coding becomes automated. Annie warns that the seductive speed of AI tools can lead to lower quality and delivery instability, a trend supported by reports from DORA and GitClear. She also cautions that over-reliance on AI prevents engineers from gaining the hands-on experience needed for deep skill acquisition.Key topics discussed:How AI is reshaping the software development lifecycleThe software engineer's professional identity crisisThe real danger of over-relying on AI toolsHow to balance the seduction of speed with long-term qualityCrucial advice for junior engineers entering the industryWhy leaders must shift focus from speed to qualityThe idea of treating AI as a team member instead of just a tool  Timestamps:(00:00:00) Trailer & Intro(00:02:32) AI Impact on Career and Software Engineering(00:07:00) The Future of AI-Driven Software Engineering(00:14:29) The Shift in the Role of Software Engineer(00:22:13) When Writing Code is Not the Bottleneck Anymore(00:32:04) The Danger of Over-Reliance on AI(00:38:51) The Software Engineering Identity Crisis(00:48:09) Advice for Junior Engineers in This Challenging Time(00:53:34) The Shift in the Role of Engineering Management(00:59:46) You Are Not Alone(01:00:50) 3 Tech Lead Wisdom_____Annie Vella's BioAnnie Vella is a Distinguished Engineer at Westpac NZ with two decades of experience in software engineering and technical leadership across various industries and countries.Vella has returned to an engineering role after a period in management and is also a part-time Master's student at the University of Auckland, researching the impact of AI on software engineering. She believes that technologies like Generative AI, LLMs, and Agentic AI will revolutionize the field and problem-solving in general.Follow Annie:LinkedIn – linkedin.com/in/annievellaX – x.com/codefrenzyWebsite – annievella.com/Like this episode?Show notes & transcript: techleadjournal.dev/episodes/223.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

On today’s episode, we are  joined by Dr. Brad Topol, Distinguished Engineer and Director of Open Source Technologies at IBM, to talk about how to scale your leadership.   We explore the process of how he went from individual contributor to distinguished engineer to director and executive. We chat about how you build a career... Read more »

On today’s episode, we are  joined by Dr. Brad Topol, Distinguished Engineer and Director of Open Source Technologies at IBM, to talk about how to scale your leadership.   We explore the process of how he went from individual contributor to distinguished engineer to director and executive. We chat about how you build a career... Read more »

Join AWS executives Tony Chor (VP, Builderworks) and Becky Weiss (VP, Distinguished Engineer) as they discuss implementing generative AI in enterprise software development. This conversation reveals how organizations are finding unexpected value in AI-powered "outer loop" tasks like documentation and ticket management, rather than just code generation. The executives share insights on managing workforce concerns, highlight how junior engineers are often leading AI adoption, and discuss the democratization of development through AI tools. Whether you're navigating developer resistance to AI or looking to maximize its benefits, this discussion offers practical perspectives on integrating generative AI into development workflows, complete with strategic advice for leaders on experimentation and adaptation in this rapidly evolving technology landscape.

Michael Costello shares his career journey on today’s Total Network Operations. Currently on the Board of Directors at NANOG and a Distinguished Engineer at Saviynt, Michael talks about his early days learning the ropes as a junior network engineer, trying to start an ISP, his stint in graduate school, and a very interesting role at... Read more »

Michael Costello shares his career journey on today’s Total Network Operations. Currently on the Board of Directors at NANOG and a Distinguished Engineer at Saviynt, Michael talks about his early days learning the ropes as a junior network engineer, trying to start an ISP, his stint in graduate school, and a very interesting role at... Read more »

In this episode of Zero to CEO, I speak with Paula Paul, Founder and Distinguished Engineer at Greyshore, about how companies can drive real value from open source software. With over four decades of experience in tech, Paula shares insights on open source supply chain security, the power of community, and how organizations can adopt cloud-native technologies more efficiently. We also explore the shift from “every company is a tech company” to “every company is a SaaS company,” and Paula reflects on her remarkable journey as a woman in tech since the 1980s. This episode is a must-listen for anyone interested in software innovation, digital transformation, and the future of technology.

What happens when four decades of hands-on engineering experience meet today's fast-moving AI and open-source ecosystem? In this episode of Tech Talks Daily, I sit down with Paula Paul, Founder and Distinguished Engineer at Greyshore, to explore that intersection. Paula began her tech career in the early 1980s writing code for IBM mainframes and has since become a trusted voice in enterprise modernization, cloud adoption, and open-source governance. Today, she advises organizations on how to build with confidence in an era defined by complex software supply chains, generative AI, and evolving SaaS models. We recorded this conversation during a time when many organizations are feeling the pressure to adopt AI and modernize legacy systems, but struggle with where to begin. Paula offers grounded insights on how to break down replatforming into value-driven streams and why a “big bang” transformation approach is often more risk than reward. She also talks about the critical role of open source in business today—not just from a tooling standpoint, but in terms of responsibility, transparency, and community. Paula's perspective is refreshingly practical. She believes AI is a natural evolution of decades of computing and storage expansion but urges companies to start with targeted experiments and thoughtful team collaboration. She also shares her experiences as a woman in tech since the 1980s, reflecting on what's changed and what hasn't and how leadership dynamics continue to shape opportunities for women in the industry. Beyond the code, Paula draws a fascinating parallel between music and technology. As a board member of the Brookline Music School and an oboe and English horn student, she explores how musical thinking can enhance software development's rhythm, structure, and leadership. If you're navigating modernization, curious about AI's role in development, or wondering how to make open source work for your organization—technically and strategically—this episode has something for you. How are you balancing technical ambition with long-term value? Let's continue the conversation.

Cisco Systems has a sprawling portfolio of home-grown and acquired products. What’s it like trying to find and address bugs and vulnerabilities across this portfolio? Omar Santos, a Distinguished Engineer at Cisco, gives us an inside look. We dig into how Cisco identifies security bugs using internal and external sources, the growing role of AI... Read more »

Cisco Systems has a sprawling portfolio of home-grown and acquired products. What’s it like trying to find and address bugs and vulnerabilities across this portfolio? Omar Santos, a Distinguished Engineer at Cisco, gives us an inside look. We dig into how Cisco identifies security bugs using internal and external sources, the growing role of AI... Read more »

NVIDIA RAPIDS is an open-source suite of GPU-accelerated data science and AI libraries. It leverages CUDA and significantly enhances the performance of core Python frameworks including Polars, pandas, scikit-learn and NetworkX. Chris Deotte is a Senior Data Scientist at NVIDIA and Jean-Francois Puget is the Director and a Distinguished Engineer at NVIDIA. Chris and Jean-Francois The post NVIDIA RAPIDS and Open Source ML Acceleration with Chris Deotte and Jean-Francois Puget appeared first on Software Engineering Daily.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. The company operates a 24/7 public ride-hail service and provides over 150,000 trips each week across San Francisco, Los Angeles, Phoenix, and Austin, making mobility more accessible, sustainable, and safer for everyone.In this week's episode of Unsupervised Learning, we dive deep into the frontier where AI meets hardware — and there's no better guide than Vincent Vanhoucke, Distinguished Engineer at Waymo and former Head of Robotics at DeepMind. [0:00] Intro[0:50] Waymo's Technological Evolution[2:40] The Role of LLMs in Autonomous Driving[6:02] Vincent's Journey to Waymo[9:17] Challenges in Autonomous Driving[11:58] Simulation and World Models[27:44] Future Milestones and Expansion[30:10] Broader Robotics and AI[36:12] Future of General Robotics Models[38:14] Hardware vs. Software Approaches in Robotics[40:19] Challenges in Robotic Data Acquisition[40:38] Simulation vs. Real-World Data in Robotics[43:02] Human-Robot Interaction for Data Collection[45:03] Advancements in Multimodal Models[47:08] Unanswered Questions in Robotics[52:02] Reasoning Capabilities in AI[54:57] Future of Robotics and AI[1:00:51] Quickfire With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint

Serverless computing is a cloud-native model where developers build and run applications without managing server infrastructure. It has largely become the standard approach to achieve scalability, often with reduced operational overhead. However, in banking and financial services, adopting a serverless model can present unique challenges. Brian McNamara is a Distinguished Engineer at Capital One where The post Going Serverless in Financial Services with Brian McNamara appeared first on Software Engineering Daily.

Vulkan is a low-level graphics API designed to provide developers with more direct control over the GPU, reducing overhead and enabling high performance in applications like games, simulations, and visualizations. It addresses the inefficiencies of older APIs like OpenGL and Direct3D and helps solve issues with cross-platform compatibility. Tom Olson is a Distinguished Engineer at The post The Vulkan Graphics API with Tom Olson and Ralph Potter appeared first on Software Engineering Daily.