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PearlPE

Quality Assurance Engineer

Pearl leverages advanced AI technology to transform dental care, enhancing diagnostic accuracy and operational efficiency for dental practitioners worldwide.

Pearl

Employee count: 51-200

United States only

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About Pearl
Pearl is shaping the future of dentistry with a suite of AI solutions developed to establish higher standards of quality and care for patients worldwide. Since 2019, our team has engineered FDA-cleared computer vision capabilities for interpretation of 2D and 3D dental imagery — industry-leading capabilities which clinicians, practice owners, labs and insurers use to elevate the efficiency, accuracy and consistency of dental care around the world.

Who We’re Looking For

  • Takes full ownership of quality assurance efforts across manual and automated testing workflows
  • Designs, builds, and maintains automation frameworks to support platform scalability and feature stability
  • Defines QA strategies for platform services, APIs, data pipelines, and UI workflows
  • Works closely with platform, product, and data engineering teams to ensure test coverage and reproducibility
  • Brings rigor to performance testing including stress, load, and integration tests
  • Ensures high test coverage and defect prevention through clear requirements analysis and proactive collaboration
  • Investigates production issues, triages bugs, and improves overall test reliability
  • Writes clear, maintainable test cases that evolve alongside our services and infrastructure
  • Champions continuous improvement and scalable quality practices across the team

What You’ll Need to Succeed

  • 5+ years of experience in software QA, with a strong blend of manual and automation testing
  • Proficiency with writing automated tests in modern frameworks (e.g., Cypress, Selenium, Playwright, etc.)
  • Experience testing backend services, APIs, and event-driven systems (e.g., Kafka, SQS)
  • Strong SQL and database validation skills, including hands-on experience with ORMs
  • Familiarity with performance and load testing tools (e.g., JMeter, Locust, k6)
  • Ability to write test plans and strategies for complex systems and data flows
  • Hands-on experience with CI/CD workflows and quality gates in build pipelines
  • Strong understanding of software development lifecycle in Agile environments
  • Excellent communication and debugging skills
  • Humble, curious, and collaborative mindset

What We Offer

  • Competitive Benefit and Compensation Offerings
  • Ongoing Training and Development Opportunities
  • Unaccrued, Flexible PTO
  • Remote Work

About the job

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Posted on

Job type

Full Time

Experience level

Mid-level

Location requirements

Hiring timezones

United States +/- 0 hours

About Pearl

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Pearl is shaping the future of dentistry with a suite of FDA-cleared dental AI solutions, which dentists, practices, and labs use to elevate the efficiency, accuracy and consistency of dental care around the world. By utilizing advanced technology such as Generative Adversarial Networks (GAN), Pearl enhances imaging processes to ensure that radiologic analysis can be completed even when x-rays are less than ideal due to over/underexposure or digital artifacts. This innovative technology allows practitioners to deliver high-quality care consistently.

Our computer vision systems are uniquely capable of identifying and evaluating a wide range of pathologic and restorative features detectable in various forms of dental imagery. The robustness of our machine learning models is derived from extensive training on the world's largest collection of expertly annotated radiographs. For over a decade, we have commercialized AI solutions that not only meet the needs of practitioners but also enhance patient care, making Pearl a leader in the intersection of AI and dental healthcare. Our dedicated team, composed of experienced innovators with deep connections to the dental industry, aims to raise the standard of care and patient experience globally.

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Pearl

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