Systems Engineer, Conflict Behavior

WaymoSan Francisco, CA
3dHybrid

About The Position

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction. This role follows a hybrid work schedule and you will report to a Systems Engineering Lead

Requirements

  • 5+ years of experience in tech, automotive, bio, systems engineering, data science, or other relevant fields where you have demonstrated your impact – we are looking for someone with a proven track record of excellent work on complex topics
  • Experience working with data at large scale
  • Enough coding experience to be self-sufficient in building and maintaining data analytics tools and pipelines (Python and SQL are required)
  • Solid physics and mathematics fundamentals
  • A passion for reducing and eliminating injuries and fatalities on the world’s roadways

Nice To Haves

  • Working with large crash safety databases
  • ML for workflow automation, including VLMs and LLMs
  • ML / AI safety and testing safety critical ML systems

Responsibilities

  • Identify opportunities to improve Waymo Driver performance.
  • Help the company take action on your unique insights
  • Evaluate in-conflict driving behaviors – at both event and aggregate levels – that can be used to drive software, architectural, or other system improvements
  • Improve the accuracy and efficiency of triage pipelines, and scale them through automation initiatives, including applied ML and other advanced software automation tools and techniques
  • Research changes in normative driving expectations in new markets, including international, and deliver insights into how evaluation and behavioral strategies may need to evolve as Waymo scales globally
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