Software Quality Operations Specialist
Software Quality Operations Specialist

Software Quality Operations Specialist

Full-Time 88000 - 95000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Collaborate on AI-driven quality assurance for autonomous vehicle technology.
  • Company: Waymo, a leader in autonomous driving innovation.
  • Benefits: Competitive salary, bonus opportunities, equity plans, and comprehensive benefits.
  • Why this job: Join a mission to revolutionise mobility and enhance road safety.
  • Qualifications: 7+ years in regulatory compliance or related fields; strong ML lifecycle knowledge.
  • Other info: Dynamic team environment with opportunities for professional growth.

The predicted salary is between 88000 - 95000 £ per year.

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.

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.
  • Partner with the Regulatory Compliance team to operationalize reporting requirements for UK and EU driving.
  • 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 signal.

You Have

  • BA / BS in technical, legal fields, or equivalent experience.
  • 7+ years in Regulatory Compliance, Autonomous Vehicle Qualification, or other related field with proven experience assessing and operationalizing legal requirements.
  • Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring.
  • Ability to quickly learn and implement new concepts and utilize proprietary tools.
  • Strong understanding of driving rules and regulations.
  • 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.

We Prefer

  • Experience working with offshore teams / multiple local operations hubs.
  • Competency in LLM / transformer models, and / or ML for robotics domain experience.
  • Experience taking legal reporting requirements and turning them into operational expectations.
  • Using 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.
  • Experience with ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics.

Compensation

The expected base salary range for this full-time position 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. 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 £88,000—£95,000 GBP.

Software Quality Operations Specialist employer: Waymo

Waymo is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving field of autonomous driving technology. Employees benefit from competitive compensation, including participation in an annual bonus program and equity incentives, alongside comprehensive benefits that support their well-being. With a strong emphasis on professional growth and the opportunity to work with cutting-edge AI and machine learning technologies, Waymo provides a meaningful and rewarding environment for those passionate about shaping the future of mobility.
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Contact Detail:

Waymo Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Software Quality Operations Specialist

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at Waymo. A friendly chat can open doors and give you insights that a job description just can't.

✨Tip Number 2

Prepare for interviews by diving deep into the tech behind autonomous vehicles. Brush up on your knowledge of AI and ML, as these are key to the role. Show us you’re not just a candidate, but a passionate advocate for innovation!

✨Tip Number 3

Don’t just wait for job postings—be proactive! Keep an eye on our website and apply directly. It shows initiative and gives you a better chance to stand out from the crowd.

✨Tip Number 4

Follow up after interviews with a thank-you note. It’s a simple gesture that keeps you fresh in their minds and shows your enthusiasm for the position. Plus, it’s just good manners!

We think you need these skills to ace Software Quality Operations Specialist

Machine Learning (ML)
Generative AI (Gen-AI)
Regulatory Compliance
Data Preparation
Model Validation
Quality Assurance
Technical Policy Development
Standard Operating Procedures (SOPs)
Quality Control Processes
Communication Skills
Interpersonal Skills
Task Planning
Time Management
Dataset Quality Assurance
Bias Detection

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Software Quality Operations Specialist role. Highlight your experience in regulatory compliance and machine learning, as these are key areas for us at Waymo.

Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about autonomous driving technology. Share specific examples of how your skills align with our mission to improve safety and reliability.

Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially in AI/ML and quality assurance processes. We want to see how you can contribute to our cutting-edge projects!

Apply Through Our Website: For the best chance of success, apply directly through our website. This ensures your application gets to the right people and shows us you're serious about joining our team.

How to prepare for a job interview at Waymo

✨Know Your Stuff

Make sure you brush up on your knowledge of machine learning and generative AI, especially as it relates to quality assurance in autonomous vehicles. Familiarise yourself with the latest trends and technologies in the field, as well as any relevant regulations in the UK and EU.

✨Showcase Your Experience

Prepare to discuss your past experiences in regulatory compliance and how you've operationalised legal requirements. Be ready to provide specific examples of how you've improved processes or addressed challenges in previous roles, particularly in fast-paced environments.

✨Communicate Clearly

Since this role involves collaboration with various teams, practice articulating complex ideas simply and clearly. Think about how you can convey technical concepts to non-technical stakeholders, as effective communication is key to success in this position.

✨Ask Insightful Questions

Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about the current challenges the Software Quality Operations team faces or how they envision the integration of AI tools into their workflows. This shows you're engaged and thinking critically about the position.

Software Quality Operations Specialist
Waymo

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