Inference ML API SDETActive

The opportunity

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

What you'll do

  • Architect and own end-to-end test strategies for new features, developing: scalable tests, frameworks, and tooling to ensure quality.

  • Lead contributions to industry-standard benchmarks and drive adoption of rigorous evaluation methodologies.

  • Define and drive automation initiatives to significantly improve internal: engineering efficiency and test coverage.

  • Make strategic decisions around coverage trade-offs, resource requirements, and risk-based testing priorities.

  • Serve as a technical anchor in a highly agile environment, adapting quickly: to shifting priorities while maintaining quality standards.

  • Mentor and guide junior SDETs on testing methodology, debugging practices, and automation development.

What they're looking for

  • Proactively identify systemic quality gaps and drive cross-functional initiatives to address them.
  • Lead and facilitate effective technical communication across teams and time zones.
  • + years of relevant industry experience in software integration, development, or quality engineering.
  • Deep expertise in automation and programming using one or more languages such: as Python, C++, or Go; ability to design and build reusable test frameworks from the ground up.