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. Waymo's Release Evaluation org ensures that each version of the Waymo Driver is safe before it hits the road. We build automated pipelines to solve the long tail of rare and exceptional scenarios in autonomous driving, looking for needles in a haystack under both time and resource constraints. Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines. You will: Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources. Find signals in our logs and simulations that might help us to more efficiently discover rare and important events. Build systems that systematically optimize multiple objectives under resource constraints. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. Champion code health and best practices in a large and complex code base. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area. Fluency with probability and statistics. Strong self-motivation to navigate complex systems and pursue open-ended problems to completion. 2-3 years of 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. We prefer: Experience programming in C++. Experience developing and evaluating sampling methods. Experience designing, training, evaluating, and applying ML models. Experience working in the AV industry. PhD in a quantitative field. Salary Range $170,000 - $216,000 USD
04/05/2026
Full time
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. Waymo's Release Evaluation org ensures that each version of the Waymo Driver is safe before it hits the road. We build automated pipelines to solve the long tail of rare and exceptional scenarios in autonomous driving, looking for needles in a haystack under both time and resource constraints. Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines. You will: Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources. Find signals in our logs and simulations that might help us to more efficiently discover rare and important events. Build systems that systematically optimize multiple objectives under resource constraints. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. Champion code health and best practices in a large and complex code base. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area. Fluency with probability and statistics. Strong self-motivation to navigate complex systems and pursue open-ended problems to completion. 2-3 years of 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. We prefer: Experience programming in C++. Experience developing and evaluating sampling methods. Experience designing, training, evaluating, and applying ML models. Experience working in the AV industry. PhD in a quantitative field. Salary Range $170,000 - $216,000 USD
Overview 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. Waymo's Release Evaluation org ensures that each version of the Waymo Driver is safe before it hits the road. We build automated pipelines to solve the long tail of rare and exceptional scenarios in autonomous driving, looking for needles in a haystack under both time and resource constraints. Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines. Responsibilities You will: Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources. Find signals in our logs and simulations that might help us to more efficiently discover rare and important events. Build systems that systematically optimize multiple objectives under resource constraints. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. Champion code health and best practices in a large and complex code base Qualifications You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Fluency with probability and statistics Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 5+ years of 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 We prefer 7+ years of industry experience (or 3+ years post-doc experience) in a quantitative engineering role. This includes a proven track record as a technical lead navigating complex, multi-language codebases (C++, Python, SQL) to drive the end-to-end experimental lifecycle: developing hypotheses, designing and executing large-scale experiments, and building robust data pipelines Experience programming in C++ Experience developing and evaluating sampling methods Experience designing, training, evaluating, and applying ML models Experience working in the AV industry PhD in a quantitative field Compensation and Benefits 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 $204,000 - $259,000 USD
04/02/2026
Full time
Overview 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. Waymo's Release Evaluation org ensures that each version of the Waymo Driver is safe before it hits the road. We build automated pipelines to solve the long tail of rare and exceptional scenarios in autonomous driving, looking for needles in a haystack under both time and resource constraints. Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines. Responsibilities You will: Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources. Find signals in our logs and simulations that might help us to more efficiently discover rare and important events. Build systems that systematically optimize multiple objectives under resource constraints. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. Champion code health and best practices in a large and complex code base Qualifications You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Fluency with probability and statistics Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 5+ years of 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 We prefer 7+ years of industry experience (or 3+ years post-doc experience) in a quantitative engineering role. This includes a proven track record as a technical lead navigating complex, multi-language codebases (C++, Python, SQL) to drive the end-to-end experimental lifecycle: developing hypotheses, designing and executing large-scale experiments, and building robust data pipelines Experience programming in C++ Experience developing and evaluating sampling methods Experience designing, training, evaluating, and applying ML models Experience working in the AV industry PhD in a quantitative field Compensation and Benefits 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 $204,000 - $259,000 USD
A leading autonomous technology company based in California seeks an experienced engineer to develop importance sampling techniques for evaluation pipelines. You will collaborate with teams to optimize objectives and drive data-driven decisions. Ideal candidates will have over 5 years of experience in navigating complex codebases with strong proficiency in C++, Python, and SQL. A BS or PhD in a quantitative field is preferred, along with skills in statistical analysis and building data processing pipelines.
04/02/2026
Full time
A leading autonomous technology company based in California seeks an experienced engineer to develop importance sampling techniques for evaluation pipelines. You will collaborate with teams to optimize objectives and drive data-driven decisions. Ideal candidates will have over 5 years of experience in navigating complex codebases with strong proficiency in C++, Python, and SQL. A BS or PhD in a quantitative field is preferred, along with skills in statistical analysis and building data processing pipelines.
Overview 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. Waymo's Release Evaluation org ensures that each version of the Waymo Driver is safe before it hits the road. We build automated pipelines to solve the long tail of rare and exceptional scenarios in autonomous driving, looking for needles in a haystack under both time and resource constraints. Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines. Responsibilities You will: Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources. Find signals in our logs and simulations that might help us to more efficiently discover rare and important events. Build systems that systematically optimize multiple objectives under resource constraints. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. Champion code health and best practices in a large and complex code base Qualifications You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Fluency with probability and statistics Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 5+ years of 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 We prefer 7+ years of industry experience (or 3+ years post-doc experience) in a quantitative engineering role. This includes a proven track record as a technical lead navigating complex, multi-language codebases (C++, Python, SQL) to drive the end-to-end experimental lifecycle: developing hypotheses, designing and executing large-scale experiments, and building robust data pipelines Experience programming in C++ Experience developing and evaluating sampling methods Experience designing, training, evaluating, and applying ML models Experience working in the AV industry PhD in a quantitative field Compensation and Benefits 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 $204,000 - $259,000 USD
04/02/2026
Full time
Overview 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. Waymo's Release Evaluation org ensures that each version of the Waymo Driver is safe before it hits the road. We build automated pipelines to solve the long tail of rare and exceptional scenarios in autonomous driving, looking for needles in a haystack under both time and resource constraints. Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines. Responsibilities You will: Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources. Find signals in our logs and simulations that might help us to more efficiently discover rare and important events. Build systems that systematically optimize multiple objectives under resource constraints. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. Champion code health and best practices in a large and complex code base Qualifications You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Fluency with probability and statistics Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 5+ years of 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 We prefer 7+ years of industry experience (or 3+ years post-doc experience) in a quantitative engineering role. This includes a proven track record as a technical lead navigating complex, multi-language codebases (C++, Python, SQL) to drive the end-to-end experimental lifecycle: developing hypotheses, designing and executing large-scale experiments, and building robust data pipelines Experience programming in C++ Experience developing and evaluating sampling methods Experience designing, training, evaluating, and applying ML models Experience working in the AV industry PhD in a quantitative field Compensation and Benefits 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 $204,000 - $259,000 USD
A leading autonomous driving technology company is seeking a skilled professional to develop evaluation pipelines and collaborate with engineers and data scientists. The ideal candidate holds a BS in a quantitative field and has 2-3 years of experience in statistical analyses, data processing, and code maintenance. This full-time position offers a salary range of $170,000-$216,000 USD, along with opportunities for bonuses and equity incentives.
04/02/2026
Full time
A leading autonomous driving technology company is seeking a skilled professional to develop evaluation pipelines and collaborate with engineers and data scientists. The ideal candidate holds a BS in a quantitative field and has 2-3 years of experience in statistical analyses, data processing, and code maintenance. This full-time position offers a salary range of $170,000-$216,000 USD, along with opportunities for bonuses and equity incentives.
$30.00-34.00/hour 1st Shift Contract SUMMARY: Develops, modifies, applies, and maintains quality standards and evaluation methods for products and processes. Provides moderately complex statistical information for quality improvement by determining and applying testing methods and criteria. Coordinates and guides technical evaluations, analysis, and related data acquisition processes to ensure division quality objectives are achieved. ESSENTIAL FUNCTIONS: Assesses quality performance (or cost-of-quality) using statistical and analytical methods. Devises and implements methods and procedures for inspecting, testing, and evaluating the precision, reliability, and accuracy of products, processes, and production equipment. Develops and establishes quality systems and procedures, inspection plans, quality performance trends, statistical plans cost estimates, and technical quality plans for proposals. Ensures that project and/or process control documentation is compliant with requirements and/or contract. Assesses the cost of, and determines the responsibility for, products or materials that do not meet required standards and specifications by performing statistical analyses. May establish statistical confidence by identifying sample size and acceptable error and determining levels of confidence. Assures the timely processing of nonconforming materials and assists in the disposition process by participating in failure analysis and corrective action investigations as a member of the Material Review Board. Coordinates with customers and suppliers relating to quality performance, trends and corrective action. Verifies compliance and effectiveness of the quality system by performing supplier audits and surveys. May initiate programs to improve supplier performance. May design or specify inspection and testing mechanisms and equipment and conduct quality assurance tests. Develops experiments by applying factorial or other techniques as appropriate for product or process. Participates on product development teams to review engineering releases and changes, manufacturing methods, planning, and process specifications as it relates to product quality. Develops sampling plans by applying attribute, variable, and sequential sampling methods. Devises sampling procedures and designs and develops forms and instructions for recording, evaluating, and reporting quality data. Develops statistical process controls by applying and maintaining applicable control charts. Analyzes data and trends by completing hypothesis, normal distribution, and process capability analysis tests. Refines and enhances products and processes by applying continuous improvement and key lean manufacturing/production principles and techniques to areas of production. Prepares reports by collecting, analyzing, and summarizing data and making recommendations. Compiles and writes training material and conducts training sessions on quality control activities. Maintains professional and technical knowledge by attending educational workshops, reviewing publications, establishing industry networks, benchmarking state-of-the-art practices, maintaining American Society for Quality certification, and/or participating in professional associations. Complies with federal, state, and local legal requirements by studying existing and new legislation, enforcing adherence to requirements, and advising management on needed actions. Provides information and develops corrective action measures by interfacing with customers and regulatory agencies and assisting in internal and external audits. Shares specialized knowledge with others. Represents Company on specific projects. Mentors' new employees. Contributes to team effort by accomplishing related results as needed. Work assignments may include cross-functional or project team responsibilities (e.g. continuous improvement). JOB REQUIREMENTS: Bachelor's degree (BS) in Engineering or a related technical discipline. Demonstrated ability to perform the essential functions of the job typically acquired through two or more years of related experience. American Society for Quality Certification. Practical knowledge of state-of-the-art inspection and quality engineering/ assurance techniques, procedures, instruments, equipment, theories, principles and concepts and general business operations. Knowledge of aerospace industry or similar industry products and legal and regulatory requirements related to field. Ability to effectively apply continuous improvement principles and techniques to quality and manufacturing functions. Ability to use standard business software applications and/or specialized data analysis tools. Ability to work on a variety of problems of moderate scope and complexity where analysis of the situation or data requires thorough identification of factors and analysis of impact; work within general work objectives regarding projects and team goals. Ability to read, analyze, and interpret scientific and technical journals, and financial reports. Ability to effectively communicate and present information to team members, team leaders, and top management; respond to significant inquiries or complaints from customers, regulatory agencies, or members of the business community. Ability to interpret a broad variety of technical instructions in mathematical or diagram form that include several abstract and concrete variables. Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to use full discretion in selecting procedures and techniques to apply to work and determine priority and order of assignments. Ability to effectively demonstrate team member competencies and participate in goal-setting, performance feedback, and self-development activities.
04/01/2026
Full time
$30.00-34.00/hour 1st Shift Contract SUMMARY: Develops, modifies, applies, and maintains quality standards and evaluation methods for products and processes. Provides moderately complex statistical information for quality improvement by determining and applying testing methods and criteria. Coordinates and guides technical evaluations, analysis, and related data acquisition processes to ensure division quality objectives are achieved. ESSENTIAL FUNCTIONS: Assesses quality performance (or cost-of-quality) using statistical and analytical methods. Devises and implements methods and procedures for inspecting, testing, and evaluating the precision, reliability, and accuracy of products, processes, and production equipment. Develops and establishes quality systems and procedures, inspection plans, quality performance trends, statistical plans cost estimates, and technical quality plans for proposals. Ensures that project and/or process control documentation is compliant with requirements and/or contract. Assesses the cost of, and determines the responsibility for, products or materials that do not meet required standards and specifications by performing statistical analyses. May establish statistical confidence by identifying sample size and acceptable error and determining levels of confidence. Assures the timely processing of nonconforming materials and assists in the disposition process by participating in failure analysis and corrective action investigations as a member of the Material Review Board. Coordinates with customers and suppliers relating to quality performance, trends and corrective action. Verifies compliance and effectiveness of the quality system by performing supplier audits and surveys. May initiate programs to improve supplier performance. May design or specify inspection and testing mechanisms and equipment and conduct quality assurance tests. Develops experiments by applying factorial or other techniques as appropriate for product or process. Participates on product development teams to review engineering releases and changes, manufacturing methods, planning, and process specifications as it relates to product quality. Develops sampling plans by applying attribute, variable, and sequential sampling methods. Devises sampling procedures and designs and develops forms and instructions for recording, evaluating, and reporting quality data. Develops statistical process controls by applying and maintaining applicable control charts. Analyzes data and trends by completing hypothesis, normal distribution, and process capability analysis tests. Refines and enhances products and processes by applying continuous improvement and key lean manufacturing/production principles and techniques to areas of production. Prepares reports by collecting, analyzing, and summarizing data and making recommendations. Compiles and writes training material and conducts training sessions on quality control activities. Maintains professional and technical knowledge by attending educational workshops, reviewing publications, establishing industry networks, benchmarking state-of-the-art practices, maintaining American Society for Quality certification, and/or participating in professional associations. Complies with federal, state, and local legal requirements by studying existing and new legislation, enforcing adherence to requirements, and advising management on needed actions. Provides information and develops corrective action measures by interfacing with customers and regulatory agencies and assisting in internal and external audits. Shares specialized knowledge with others. Represents Company on specific projects. Mentors' new employees. Contributes to team effort by accomplishing related results as needed. Work assignments may include cross-functional or project team responsibilities (e.g. continuous improvement). JOB REQUIREMENTS: Bachelor's degree (BS) in Engineering or a related technical discipline. Demonstrated ability to perform the essential functions of the job typically acquired through two or more years of related experience. American Society for Quality Certification. Practical knowledge of state-of-the-art inspection and quality engineering/ assurance techniques, procedures, instruments, equipment, theories, principles and concepts and general business operations. Knowledge of aerospace industry or similar industry products and legal and regulatory requirements related to field. Ability to effectively apply continuous improvement principles and techniques to quality and manufacturing functions. Ability to use standard business software applications and/or specialized data analysis tools. Ability to work on a variety of problems of moderate scope and complexity where analysis of the situation or data requires thorough identification of factors and analysis of impact; work within general work objectives regarding projects and team goals. Ability to read, analyze, and interpret scientific and technical journals, and financial reports. Ability to effectively communicate and present information to team members, team leaders, and top management; respond to significant inquiries or complaints from customers, regulatory agencies, or members of the business community. Ability to interpret a broad variety of technical instructions in mathematical or diagram form that include several abstract and concrete variables. Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to use full discretion in selecting procedures and techniques to apply to work and determine priority and order of assignments. Ability to effectively demonstrate team member competencies and participate in goal-setting, performance feedback, and self-development activities.