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.
The Perception team at Waymo builds technology that powers the Waymo Driver. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you. This role is a limited duration, at-will role to support projects across on the Perception team, expected to take approximately 2 years.
You will:
- Report into a Perception Engineering Manager
- Work on an exciting roadmap to deliver new Waymo products
- Be a core contributor across our ML heavy stack, building tooling and systems to promote new hardware platforms, reliable evaluation, scalable data mining, integrated distributed systems, and guide tooling across the development ecosystem and smoother development experience
You have:
- BS in Computer Science, Robotics, a similar technical field of study, or equivalent practical experience
- High customer focus and attention to detail
- Proficiency in C++
We prefer:
- Familiarity with Google Infrastructure: Flume, Spanner, Borg, or Guitar
- 2 years professional experience contributing to an ML-centric product
- Familiarity with ML principles, models and techniques
- Developed models in a customer-focused environment (e.g., NLP, Speech, or Video).
- Experience in data analysis at a large-scale
- Experience working on a multi-component ML system and building measurable signals to improve it
#LI-Hybrid
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
This position may also be eligible to participate in Waymo’s equity incentive plan and generous Company benefits program, if applicable.
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What We Do
Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives.
Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.
