Business Unbound
Business Unbound

Self-Driving Cars Are Here! This Is What's Actually Happening (Insider's Perspective) - William Mee

25 February 2026 1:27:02 Florian Haufe

Listen to episode

About this episode

Self-driving vehicles have moved beyond speculation. Thousands of passengers ride in autonomous vehicles daily across multiple cities, yet the industry remains far from mainstream adoption.

In this episode of Business Unbound, William Mee, a software engineer who spent nearly a decade at Google and built critical fleet dispatch systems at Zoox (Amazon's autonomous vehicle company), reveals what actually works, what's overblown, and why different companies are making fundamentally different bets on the technology.

From the sensors and AI systems powering autonomous perception to the messy operational reality of fleet management and the edge cases that still stump AI, this conversation cuts through hype and delivers insider perspective on where self-driving really stands in 2026.

What You'll Learn

  • Why the technology is proven but scaling remains the challenge
  • The radical differences in approaches: Zoox's purpose-built hardware vs Tesla's camera-only strategy vs Waymo's retrofit model
  • How fleet orchestration works and why teleoperator ratios matter more than most realize
  • The role of simulation, neural networks, and transformer models in autonomous systems
  • Why edge cases—from pranksters placing cones to first responder interactions—create real safety complexity

Key Discussion Topics

  • Perception, prediction, planning, and collision avoidance as core technical pillars
  • Why sensor fusion (LiDAR, radar, cameras) matters more than cost-driven camera-only approaches
  • Training vehicles, simulation, and detailed 3D mapping as essential development infrastructure
  • The business of operating autonomous fleets: operators, maintenance, charging, and logistics
  • Safety measurement through simulation metrics and North Star KPIs
  • The chaos of real-world urban environments vs controlled test environments
  • Job disruption and the emergence of new skilled roles in fleet operations

Guest Background

William Mee is a software engineer with nearly three decades of experience across frontier technologies. He spent just under a decade at Google working on products including Google Maps, AdWords, and Android before moving to Thumbtack and Coda. In 2023, William joined Zoox, an Amazon company building purpose-built autonomous vehicles, where he developed the fleet orchestration and dispatch system. In 2025, he pursued an Executive MBA at UC Berkeley's Haas School of Business.

Connect with Will on LinkedIn

Additional Resources

  • Andrew Ng's Newsletter: The Batch
  • DeepLearning.AI

Get Engaged

Subscribe to the channel for more inspiring conversations. Follow us on social media: https://linktr.ee/businessunbound

About Business Unbound

Every week, your host Florian Haufe dives deep into conversations with visionary global leaders to bring you insights, inspiration, and the real stories behind success.

#BusinessUnbound #Podcast #AutonomousVehicles #SelfDrivingCars #Technology #Innovation #Leadership

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Business Unbound. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.