Software Engineer, Discovery Eval

Waymo • Mountain View, CA

6h • Hybrid

About The Position

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.
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Requirements

• BS or MS in Computer Science or a related field.
• 2+ years of software development experience (3+ years for L5).
• Strong programming skills in Python and/or C++.
• Experience with data analysis, data pipelines, and working with large datasets.
• Solid understanding of machine learning concepts and evaluation methodologies.
• Excellent problem-solving skills and ability to work independently and collaboratively.

Nice To Haves

• Experience in developing or utilizing AI-powered agentic workflows.
• Familiarity with evaluation framework in autonomous vehicle systems or robotics.
• Hands-on experience with ML infrastructure and tools.
• Experience with large-scale data processing systems.
• Proven ability to design and implement novel evaluation metrics and techniques.
• Experience with data visualization tools and techniques.

Responsibilities

• Design, develop, and implement automated eval analytic workflows using large language models and other AI techniques to analyze and categorize events from perception evaluation systems.
• Build and maintain scalable data pipelines to automatically cluster, summarize, and surface critical issue categories discovered through large-scale simulation and real-world data.
• Develop an orchestration system to manage the lifecycle of discovered issues, including data sampling, annotation, and integration into the ML training and evaluation flywheel.
• Enhance and support core discovery tools and frameworks, focusing on improving the precision, recall, and reliability of automated issue detection.
• Expand the capabilities of discovery evaluation systems to cover a broader range of perception signals and other advanced outputs.
• Collaborate with other engineers, ML infrastructure teams, and researchers to integrate cutting-edge AI techniques and build robust, end-to-end evaluation solutions.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees