AI Inference Core - SDET Technical Lead, Release Integration Testing
Remote • Sunnyvale, CA • FullTime
Posted 1mo ago
Job Location
Sunnyvale, CA
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
Cerebras Systems is seeking a hands-on SDET Technical Lead to establish and lead Release Integration Testing for AI Inference Core. This role is crucial for transforming integrated features into reliable production releases by defining the quality strategy across the entire release cycle, from feature integration to post-release learning. You will work across AI frameworks, runtime, compiler, kernels, distributed systems, infrastructure, and hardware to identify and address release risks. This is a technical leadership position where you will design test architecture, lead debugging and release decisions, mentor engineers, and contribute to software and automation development.
Responsibilities
- Define the Release Integration Testing strategy, engagement criteria, ownership boundaries, entry/exit criteria, coverage expectations, and escalation thresholds for AI Inference Core.
- Engage early on high-risk inference changes, identifying dependencies and interaction risks across various system components.
- Own the inference-path readiness gate by reviewing test evidence and approving integration readiness before release entry.
- Lead integrated inference end-to-end validation across features and the cloud-to-wafer stack.
- Improve master and release-branch stability through actionable health metrics, failure classification, and release-quality reporting.
- Lead first-pass regression and rollout triage, coordinate issue resolution, and plan rollouts across multiple projects.
- Partner with and mentor SDETs and various engineering teams, while advancing automation efficiency and test planning.
Requirements
- Strong software engineering fundamentals and programming ability in Python, Go, or a similar language.
- Demonstrated technical leadership in software quality, test infrastructure, systems validation, release engineering, or complex software integration.
- Experience designing automation and test architecture for distributed, systems-level, infrastructure, or AI software.
- Proven ability to break down ambiguous cross-stack failures, form hypotheses, gather evidence, and drive issues to resolution.
- Strong understanding of risk-based testing, release readiness, regression strategy, failure analysis, and quality metrics.
- Ability to influence and align multiple engineering teams without relying solely on organizational authority.
- Clear communication and sound judgment during high-pressure release situations, including explaining technical risk to various audiences.