The Perception Evaluation team at Waymo is at the forefront of autonomous driving, ensuring the reliability and safety of our self-driving technology. We develop and utilize cutting-edge tools and methodologies to rigorously assess the performance of our Perception systems, a critical component for safe and effective autonomous operation. Join us to play a pivotal role in shaping the future of transportation by directly impacting the quality and reliability of Waymo's autonomous vehicles.

You will:

• Develop and Implement Evaluation Tools: Design, code, test, and maintain software components for our perception evaluation pipelines and tools, primarily using C++ and Python.
• Execute Evaluation Workflows: Run and monitor perception evaluation jobs, analyze results, and troubleshoot issues within the evaluation framework to ensure timely and accurate feedback.
• Contribute to Pipeline Enhancements: Identify and implement improvements to our existing evaluation infrastructure for better efficiency, scalability, and reliability.
• Collaborate with the Team: Work closely with other engineers and researchers within the Perception Eval team to understand requirements, contribute to designs, and implement solutions.
• Analyze and Report Findings: Assist in analyzing evaluation results, generating reports, and surfacing key insights to help improve perception system performance.
• Adapt to Evolving Needs: Demonstrate flexibility by tackling varied tasks and contributing to different aspects of the evaluation process as team priorities shift to support Waymo's growth.

You have: 

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 2+ years of software development experience.
• Strong programming skills in C++ and Python, with a focus on writing clean, efficient, and well-tested code.
• Solid understanding of software engineering principles, data structures, and algorithms.
• Demonstrated ability to turn ideas into working software and a proactive approach to problem-solving.
• Basic understanding of SQL and a willingness to develop skills in data analysis and querying.

Nice to have: 

• Familiarity with large-scale data processing or distributed systems.
• Experience with data analysis tools and libraries (e.g., Pandas, Colab) and visualization techniques.
• Exposure to Machine Learning concepts, workflows, or evaluation methods.
• Passion for autonomous vehicle technology or robotics.
• Experience with software development collaboration tools (e.g., Git, code review systems).
• Ability to learn new technologies and tools quickly.