Startups · AI

Senior Test Automation Engineer

Rad AI · San Francisco - Onsite · On-site

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About Rad AI

Modern radiology AI for reporting, impressions and follow-up. Reduce cognitive burden, improve report quality and help radiologists work faster. Backed by Khosla.

About the role

Our principle: Engineering owns quality; Quality owns the quality system. As a Senior Test Automation Engineer, you'll own test automation strategy for a product domain. You'll design automation that engineers build on, make release risk explicit, and help us move from catching defects to preventing them. You'll be the quality and automation expert for your product domain, where you'll: Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • This role requires working from our San Francisco office
  • 6+ years of software engineering or test automation experience, including 3+ years designing and owning automation frameworks
  • Strong programming skills in TypeScript and/or Python, experience with an object-oriented language such as C# or Java is a plus
  • Deep experience with end-to-end frameworks such as Playwright, Selenium, or Cypress
  • API testing experience across REST and GraphQL services (for example ASP.NET Core Minimal API, FastAPI, Postman), including how tests interact with data and downstream dependencies
  • Experience building tests into CI/CD pipelines such as GitHub Actions or CircleCI, including PR-level gating, parallelization, and reporting
More about this role

At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.

Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.

Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.

Recognized as one of the most promising healthcare AI companies by CB Insights and...

Read the full posting on Rad AI's site ↗

Engineering

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