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QA Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Accio3D
Full Time position
Listed on 2026-07-24
Job specializations:
  • Software Development
    Software Testing, AI QA / Validation Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

We need a dedicated QA engineer, and the urgency is high. With several engineers shipping AI-accelerated code into production every week, code generation isn't our bottleneck — code quality is. This is a full-time, QA-focused role that owns the quality pipeline end to end. It is not a development role with occasional QA; we need someone whose whole focus is keeping what we ship correct and regression-free.

  • Own quality across a fast-moving product where multiple engineers push to production weekly.
  • Start with hands‑on manual QA, and quickly move us toward automation — we don't want to do this manually forever.
  • Build out smoke tests, a well‑organized suite of test cases, and the practices that keep regressions from slipping through.
  • Stand up QA automation using industry‑standard tooling, and define how QA works as the team scales.
  • Use tools like Code Rabbit to assist with review and catch issues earlier.
What we're looking for
  • U.S. citizenship (required). This role works with sensitive government Controlled Unclassified Information (CUI) and is subject to government contract requirements.
  • Real QA engineering experience — not just an engineer who occasionally tests buttons. You know what a good bug report looks like, the difference between unit and integration tests, and how to write strong test cases.
  • Hands‑on experience standing up QA automation, not only manual testing.
  • Familiarity with industry‑standard frameworks:
    Playwright, Gherkin (BDD), Selenium, Test Rail, or similar.
  • Comfort owning the quality pipeline for a small team shipping quickly.
Nice to have
  • Experience introducing automation into an environment that previously relied on manual QA.
  • Full‑stack familiarity that helps you reason about where things break.
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