Snorkel AI

Snorkel AI

Software Engineer in Test - Infrastructure

Redwood City, CA (Hybrid); San Francisco, CA (Hybrid)

Sponsorship not specified$150k-$200kDetected 57 days ago
TypeScriptPythonCI/CDCircleCIDevOpsLLMsTest AutomationResearchLeadership

About the role

  • The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today.
  • Excited to help us redefine how AI is built?
  • In this role, you'll go beyond traditional QA-fine tuning test infrastructure, tooling, and processes that directly accelerate engineering velocity and product quality.

Responsibilities

  • Design, implement, and maintain automated testing systems
  • Create internal tools that improve developer productivity and shorten iteration cycles
  • Partner closely with DevOps to optimize test execution and reliability within CI/CD pipelines
  • Drive best practices in testing, observability, and release confidence across the engineering org
  • Collaborate with top AI labs and innovative enterprise teams
  • the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems.
  • We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before.

Requirements

  • 3-5 years experience scaling test frameworks, infrastructure, or developer tooling
  • Proficiency in TypeScript and/or Python
  • Experience with CI/CD systems such as CircleCI, Buildkite, or similar tools
  • Ability to operate in ambiguous environments and bring structure to complex problems

Compensation

  • Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Company info

  • What We're Looking For
  • We're looking for a Software Engineer in Test who thrives in fast-moving, high-intensity environments and enjoys turning ambiguous problems into reliable, scalable systems.

This listing is sourced directly from Snorkel AI's careers page and normalized into a canonical job model.