Software Quality Operations Specialist, Waymo
$48.56 - $61.06 per hour + Discretionary annual bonus program + Equity incentive plan
Office located in Mountain View, CA
Autonomous driving technology
Be an early applicant
Autonomous driving technology
1001+ employees
Be an early applicant
$48.56 - $61.06 per hour + Discretionary annual bonus program + Equity incentive plan
Office located in Mountain View, CA
1001+ employees
Company mission
To make it simpler and safer for people to move things and themselves around.
Role
Who you are
- BS/BA degree or 4 years of relevant work experience in AV Software Quality Operations
- Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring
- Experience with ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics
- Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations
Desirable
- Demonstrated strong execution with ability to drive outcomes
- Experience working with offshore teams / multiple local operations hubs
- Basic SQL querying
- Competency in LLM / transformer models, and / or ML for robotics domain experience
- A greater focus on using your subject matter expertise for results analysis and direct customer consultation in the development of new and improved. solutions
- Self-motivated with basic skills in task planning and time management
What the job involves
- The Software Quality Operations (SWQOPS) team is at the heart of ensuring the safety, reliability, and quality of the Waymo Driver
- Our mission is to build an adaptable and scalable operation, increasingly powered by AI, to deliver the crucial insights necessary to confidently deploy and grow Waymo's autonomous vehicle service
- Waymo is undergoing unprecedented growth, rapidly expanding into new cities (targeting 20 new cities by EOY2026) and launching new vehicle platforms SWQOps, especially our Technical Specialists, plays a critical role in this expansion, making it possible to scale safely and efficiently
- Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive step-change improvements in issue discovery & detection, triage efficiency, and quality assurance
- Leverage AI-powered insights and traditional triage signals to proactively identify emerging on-road issue trends, new risk scenarios, and edge cases
- Develop and refine data-driven strategies for issue discovery and monitoring, enhanced by ML model outputs
- Serve as the key link between AI/ML development and operational execution
- Define and document new policies, guidelines, and Standard Operating Procedures (SOPs) that integrate AI tools and insights into daily vendor workflows
- Design and implement robust quality control processes for both human and AI-generated outputs
- Perform meta-quality checks, validate the integrity of vendor work, and provide feedback to improve both human and model performance
- Act as the subject matter expert for our Software Quality Operations, working closely with stakeholders, program leads, and vendor teams to ensure seamless adoption and maximum impact of AI/ML advancements in our quality processes
- Be the trusted source for creating and updating technical policies, guidelines, and standard operating procedures for new scopes, platforms, and driving signals
- Provide technical leadership and consultation to stakeholders to enhance our workflows and quality
- You'll be at the forefront of identifying and escalating issues with our tools, providing technical requirements to engineering, and driving user testing to support the development and deployment of new tooling features
- A proven ability to work in a fast-paced, high-stress environment while maintaining good judgment
- Excellent communication and interpersonal skills to effectively collaborate with a wide range of individuals in a diverse and dynamic work environment
Our take
Waymo is an autonomous driving technology company that began as the Google self-driving car project in 2009. After initial development, it secured permits to deploy autonomous ride-hailing services in cities including Phoenix and San Francisco, but has recently hit a major bump in the road with safety concerns that resulted in a recall of over 400 self-driving cars.
With the autonomous driving industry already besieged by setbacks and public distrust, this development does Waymo no favours. That said, as an industry leader there remains the possibility it will see out the storm, but massive attention will need to be given to rebuilding trust with consumers if this is to be the case.
Steph
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Aug 2024
$5.6bn
SERIES C
Jun 2021
$2.5bn
GROWTH EQUITY VC
Total funding: $11.1bn
Company HQ
Mountain View, CA
Leadership
Dmitri Dolgov
(Co-CEO, not founder)Former CTO of the company. After a PhD at the University of Michigan, they worked as a Stanford Postdoctoral Researcher before moving to the Toyota Research Institute. They also spent 8 years at Google as a Software Engineer.
Tekedra N. Mawakana
(Co-CEO, not founder)Has worked at Waymo since 2017, as Global Head of Policy then CXO then COO before becoming Co-CEO. They are on the Board of Advisors at Operator Collective, Board of Directors at Intuit, and an Advisor for Boom Supersonic.
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