Software Quality Operations Specialist

Waymo

Mountain View (CA)

On-site

USD 130,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Health, dental, vision, life, and disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year
Holidays: 13 paid days per year

Job summary

Waymo is looking for a Software Quality Operations Technical Specialist in Mountain View, California. In this role, you will collaborate with Engineering to design and deploy innovative AI solutions that improve the quality and reliability of autonomous vehicle software. The position requires strong communication skills and the capacity to work in a high-pressure environment.

The ideal candidate has a BS/BA degree or equivalent experience in AV Software Quality Operations and is familiar with machine learning and its applications in ensuring the safety and efficiency of autonomous vehicles. Benefits include comprehensive health insurance and a competitive salary range of $130,000—$160,000 USD.

Qualifications

  • Proven experience in AV Software Quality Operations.
  • Competency in machine learning development lifecycle.
  • Experience in ML testing and validation.

Responsibilities

  • Partner with Engineering to deploy machine learning models.
  • Identify emerging issue trends using AI insights.
  • Define new policies integrating AI tools into workflows.
  • Implement quality control processes for outputs.
  • Provide consultation to enhance quality workflows.

Skills

Machine Learning
AI/ML Development
Communication Skills
Problem Solving

Education

BS/BA degree or 4 years of relevant work experience

Tools

SQL
Proprietary Tools

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.

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 experiencing unprecedented growth, rapidly expanding into new cities and launching new vehicle platforms. SWQOps, particularly our Technical Specialists, are critical to this expansion, enabling us to scale safely and efficiently.

Why This Team Is Essential To Waymo's Success
In this role you will:
  • 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.
You Have
  • 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.
  • Must have the ability to provide occasional on‑call availability for evenings, weekends, and holidays, as well as the flexibility to attend meetings outside of standard hours to collaborate with our global team.
We Prefer
  • 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.
Benefits
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
  • Maternity Leave (Short‑Term Disability + Baby Bonding): 28‑30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

Remote jobs only - Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview 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

$130,000—$160,000 USD

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