AI Inference Core - SDET Technical Lead, Release Integration Testing
Cerebras · Sunnyvale, CA
About this role
**About the Role** Cerebras Systems builds the world’s largest AI chip—56x larger than GPUs—enabling ultra high-speed AI training and inference (10x faster than GPU-based hyperscale cloud inference). We’re seeking a **hands-on SDET Technical Lead** to establish and lead **Release Integration Testing (RIT)** within **Release & Feature Qualification** for **AI Inference Core**. RIT is the bridge between feature qualification and release qualification. You’ll define the quality strategy across the pre-release and release cycle—from feature/model integration and branch stability to release qualification, deployment, and post-release learning. This is a **technical-leadership** role: you’ll design test architecture, lead difficult debugging and release decisions, mentor engineers, and write software/automation alongside the team. **What You’ll Own** - **Inference-path readiness gate**: Require evidence across unit, simulation, benchmark, feature, and integration testing, with explicit coverage gaps before release entry. - **Inference-core integration strategy** and **readiness approval** - **Integrated cross-stack validation** across the cloud-to-wafer stack - **First-pass rollout triage** and risk-based release regression --- **What Makes This Role Distinct** - **Dedicated RIT ownership**: Engage before feature qualification completes while keeping boundaries clear—feature teams own feature behavior/qualification; RIT owns integration strategy, readiness approval, integrated validation, and first-pass rollout triage. - **Cross-stack test strategy**: Define risk-based E2E and regression coverage spanning components, software layers, infrastructure, and hardware. - **Branch and rollout leadership**: Establish measurable health standards for master and release branches; coordinate inference-impacting rollouts across multiple product/release projects. - **Hands-on technical authority**: Lead through code, test architecture, debugging, quality metrics, and evidence-based release decisions. - **Team multiplier**: Raise the technical bar and mentor engineers across feature, infrastructure, integration, qualification, and release teams. --- **Key Responsibilities** - Define RIT strategy, engagement criteria, ownership boundaries, entry/exit criteria, coverage expectations, and escalation thresholds. - Engage early on high-risk inference changes; identify dependency and interaction risks across runtime, host/device programming, memory, scheduling, model execution, infrastructure, and hardware. - Own the inference-path readiness gate by reviewing evidence and approving integration readiness before release entry. - Lead integrated inference E2E validation across features and the cloud-to-wafer stack; promote durable feature tests and add risk-based scenarios to release regression. - Improve master and release-branch stability using actionable health metrics, failure classification, reporting, dashboards, qualification workflows, and release pipelines. - Lead first-pass regression and rollout triage: coordinate resolution, drive RCA, place missing coverage at the correct layer, and plan rollout across multiple product/release projects. - Partner with and mentor SDETs and cross-functional teams; advance automation efficiency, diagnostics/probes, and roadmap test planning. --- **Minimum Qualifications** - Strong software engineering fundamentals; programming ability in **Python, Go, or similar**. - Demonstrated technical leadership in **software
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