Staff Software Engineer at Waymo (Perm - N/A)
Waymo· Perm - N/A·
Role details
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.
You will:
- Lead cross-organizational efforts to enhance system efficiency, deployment speed, and maintainability.
- Improve developer experience and system visibility by streamlining infrastructure workflows
- Optimize model serving infrastructure to maximize the perception system's model performance.
- Develop and scale robust infrastructure for large-scale data processing, extraction, and evaluation.
- Support expansive machine learning development, including data mining, debugging, and visualization tools.
- Contribute to systems development by enhancing testing, performance analysis, and deployment pipelines.
You have:
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field and 7 years of progressive post-baccalaureate experience in the job offered or in a Software Engineer-related occupation. Alternatively, will accept a Master’s degree in Computer Science, Computer Engineering, or a related field and 5 years of experience in the job offered or in a Software Engineer-related occupation.
Position requires 5 years of experience in the following:
- C++ programming;
- Distributed system design;
- Large-scale data pipeline development;
- Distributed data processing frameworks; and
- Robotics engineering or Machine learning engineering.
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
$295,000 - $310,000 USD
Position reports to the Waymo office & may allow for a hybrid schedule per Waymo policy.
Why work at Waymo
- Impact: Work on technology that directly saves lives (1.4M traffic deaths globally each year) and reshapes the future of transportation.
- Culture: Waymo describes itself as a place for “ambitious thinkers and relentless problem solvers” with a deep respect for getting every detail right. Values include safety, innovation, and responsibility.
- Teams: Opportunities across Software Engineering, Hardware Engineering, AI Foundations, Product & Design, Operations & Supply Chain, Safety, Policy, and General & Administrative roles.
- Internships: Strong early-career program with internships for Bachelors, Masters, MBA, and PhD candidates, often leading to full-time offers.
- Hiring process: Transparent and structured. Includes an initial recruiter screen, 1-2 phone/video interviews, and a virtual onsite (up to 5 interviews). Emphasizes problem-solving, collaboration, and real-time thinking. AI tools are not permitted during technical assessments to ensure fair evaluation.
- Remote/hybrid policy: The careers page lists both on-site and remote roles, with most engineering and operations roles based in Mountain View, San Francisco, or other US locations.
- Benefits: Top-notch benefits, unique learning opportunities, thoughtful community engagement, and meaningful gatherings. Specific perks are not detailed publicly but are described as comprehensive.