2022-08-08 Waymo

Technical Lead Manager, ML Runtime, Machine Learning Platform

Mountain View, California, United States
San Francisco, California, United States

Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they’re going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the World’s Most Experienced Driver in hopes of improving the world's access to mobility while saving thousands of lives now lost to traffic crashes. Our Waymo Driver powers Waymo One, our fully autonomous ride-hailing service, as well as Waymo Via, our trucking and local delivery service. To date, Waymo has driven over 20 million miles autonomously on public roads across 25 U.S. cities and conducted over 20 billion miles of simulation testing.

Software Engineering builds the brains of Waymo's fully autonomous driving technology. 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. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you. 

The Machine Learning Platform team at Waymo provides a set of tools and technologies to support and automate the lifecycle of the machine learning workflow, including feature and experiment management, model development, debugging & evaluation, deployment, and monitoring. These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Behavior Prediction, Planner, Routing, Maps and Research, ensuring greater degrees of consistency and repeatability, and addressing the “last mile” of getting models into production and managing them once they are in place. We work hand in hand with machine learning experts in all parts of the company as well as our collaborators across Alphabet.

We are looking for a strong TLM who is passionate about enabling machine learning at Waymo.

In this leadership role, you'll:

  • Lead a team of software engineers that design, develop, maintain and improve Waymo’s Machine Learning Platform.
  • Work closely with our users to understand their needs and address their pain points.
  • Act as a sounding board and technical architect for your teams, help define technical vision and strategy.
  • Work closely with engineering partners and stakeholders to drive organizational alignment.
  • Attract, grow, and retain a diversity of talent, providing technical direction and career growth opportunities.

At a minimum, we'd like you to have:

  • BS in Computer Science, Mathematics, or equivalent real-world experience
  • 5+ years of software engineering management experience of infrastructure or applied machine learning teams.
  • Experience optimizing and deploying large-scale, production quality ML systems for cloud or edge environments.
  • Experience with multi-core systems and multi-thread interactions.
  • Experience with CPU, GPU, and other computer system microarchitectures.
  • Passion for machine learning, autonomous driving technology, and their potential impacts on the world

It's preferred if you have:

  • MS or PhD in Computer Science, Mathematics, or equivalent real-world experience
  • 2+ years of performance analysis and optimization experience.
  • Experience building and managing ML inference services for both cloud and edge environments.
  • Passion for developing and optimizing ML compilers for modern architectures (TVM, XLA, MLIR etc.)
  • Working knowledge of compiler architecture front-end and middle-end optimizations, scheduling, register allocation, and back-end code generation.

Note: The following is only applicable for roles hired in the US. As we keep the safety of our employees and our communities top of mind, COVID-19 vaccinations continue to be a critical prevention measure to help end the pandemic.  Because of this, Waymo requires all US-based employees who perform work onsite for Waymo to be fully vaccinated against COVID-19. If you are unable to be vaccinated, Waymo will provide a reasonable accommodation consistent with applicable law.

We appreciate your interest in Waymo. Waymo is an equal employment opportunity employer, committed to maintaining a supportive and inclusive workplace for all employees. Waymo does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, genetic information or any other basis protected by applicable law. Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law. Waymo is committed to ensuring equal opportunity for qualified individuals with disabilities. If you are an individual with a disability and require an accommodation to participate in the application or interview process, please let the recruiting team know or email waymo-candidatesupport@google.com. (This email address is intended to be used only for requesting accommodations as part of the application process. Other inquiries will not receive a response.)

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You are being given the opportunity to provide the following information in order to help us track and measure the aggregate demographics of our applicants in furtherance of our Equity, Inclusion, and Diversity efforts.  Answering these questions is entirely voluntary, and a decision not to answer will not be held against you.  If you decide to provide demographic information, it will be recorded and maintained in a confidential file.  It will not be considered in the hiring process or as a basis for employment decisions.  Whatever your decision, it will not be considered in the hiring process or as basis for employment.  If you are offered and accept employment with Waymo, the information collected during the application and recruitment process will become part of your confidential employment record.

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