Software Engineer (Quantitative Evaluations)

Waymo; San Francisco (CA); On-site; USD 170,000 - 216,000; Full time

Benefits offered by this job

Discretionary annual bonus program

Equity incentive plan

Generous company benefits

Job summary

Waymo is seeking a Data-Minded Software Engineer to improve performance evaluation methods for the Waymo Driver in San Francisco. This role involves using statistics, algorithms, and machine learning to analyze software changes and driving performance. Candidates should have a BS in a quantitative field and experience coding in C++, Python, and SQL. A hybrid work schedule is offered, along with participation in bonus programs and company benefits.

Qualifications

• 1+ years of experience in coding with C++, Python, and SQL.
• Strong self-motivation to navigate systems and solve open-ended problems.
• Experience performing statistical analyses and building data processing pipelines.

Responsibilities

• Develop signals to measure driving performance using statistics and algorithms.
• Collaborate with engineers and data scientists to deliver evaluation products.
• Analyze data to improve metric quality and interpretability.

Skills

Statistical analyses

Coding in C++

Data processing pipelines

Python programming

SQL proficiency

Quant/data fluency

Education

BS in Computer Science, Robotics, Statistics, Physics, Math

Tools

Statistical software

Machine Learning tools

Job description

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 aSr. Staff Engineering Manager.

You will:

• Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning.
• Use simulation creatively and mine real‑world driving logs to measure driving performance.
• Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes.
• Champion code health and best practices in a large and complex code base.
• Analyze data and make recommendations on how to improve metric quality and interpretability.
• Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data‑driven decisions.

You have:

• BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
• Strong self‑motivation to navigate complex systems and pursue open‑ended problems to completion
• 1+ years of industry experience with:
  • Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL
  • Performing statistical analyses
  • Building data processing pipelines
  • Writing, reviewing, and merging code following industry standards for code health and maintainability
  • Quant/data fluency is a top requirement

We prefer:

• Experience coding in C++
• Experience with ML
• Experience with A/B experiment infrastructure
• Experience building and validating metrics to measure quality in complex systems
• Exposure to ad‑hoc data analysis tools for rapid modeling and prototyping
• Experience working in the AV industry

#LI-Hybrid

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: $170,000—$216,000 USD