Level

Waymo

Staff Software Engineer, TLM, Quantitative Evaluations

Waymo is hiring a Staff Software Engineer, TLM, Quantitative Evaluations in San Francisco and Mountain View, United States. It pays $251k-$310k a year and Level rates it ; you can apply on Level.

AI in this role

Lead a software engineering team developing driving quality metrics and evaluating autonomous vehicle systems using ML and simulation.

pythonc
machine-learningautonomous-vehiclesroboticsstatisticstechnical-leadership

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 Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you!

 

This role follows a hybrid work schedule and reports to an Engineering Manager.

 

You will:

  • Lead and manage a team of software engineers in charge of developing driving quality metrics, measuring the robustness of the Waymo Driver to its input (e.g. sensors data, maps), using a range of techniques including ML, statistics, and algorithms
  • Define a long-term strategy, develop roadmaps, and guide the team to execute projects from ambiguous requirements to high-impact deliverables
  • Use simulation creatively and mine real world driving logs to measure  driving performance
  • Champion code health and best practices in a large and complex code base
  • Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions

You have:

  • Master's degree or PhD in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
  • 5+ years of experience in the field of software engineering
  • Solid technical leadership in defining vision, strategy and priorities
  • Proficiency in C++ or Python in a production environment
  • Strong technical communication and collaboration skills

We prefer:

  • 2+ years of experience in team management
  • Experience coding in C++
  • Experience with ML
  • Experience with A/B experiment infrastructure
  • Exposure to ad-hoc data analysis with SQL
  • Experience working in the AV industry

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. 

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. 

Salary Range$251,000—$310,000 USD

How we rate this

Staff Software Engineer, TLM, Quantitative Evaluations at Waymo rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Machine learningAutonomous VehiclesRoboticsStatisticsTechnical LeadershipPythonC

Questions you could be asked

  1. Tell me about a project where machine learning was part of your work. What did you do?
  2. Tell me about a project where autonomous vehicles was part of your work. What did you do?
  3. Tell me about a project where robotics was part of your work. What did you do?
  4. Tell me about a project where statistics was part of your work. What did you do?
  5. Tell me about a project where technical leadership was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Machine learning, Autonomous Vehicles, Robotics, Statistics, and Technical Leadership. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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