# AI Inference Core - SDET Technical Lead, Release Integration Testing

**Company:** [Cerebras Systems](https://hotfix.jobs/companies/cerebras-systems)
**Location:** Sunnyvale, CA, Toronto, Canada
**Role:** QA Engineering
**Experience:** 5+ years
**Skills:** Python, Go, test automation, test architecture, Distributed Systems, AI Infrastructure, release engineering, regression testing, Root Cause Analysis, performance testing, Observability, fault injection, CI/CD, Kubernetes, high-performance computing
**Posted:** 2026-07-27

> Leads Release Integration Testing for an AI inference platform, establishing readiness gates, cross-stack validation, release regression, rollout triage, and quality metrics. The role requires strong software engineering, test architecture, distributed-systems validation, and technical leadership across software, infrastructure, and hardware teams.

## Job Description

## Responsibilities
- Define the Release Integration Testing strategy, engagement criteria, ownership boundaries, entry and exit criteria, coverage expectations, and escalation thresholds for AI Inference Core.
- Identify dependencies and interaction risks across runtime, host, device programming, memory, scheduling, model execution, infrastructure, and hardware.
- Own the inference-path readiness gate by reviewing unit, simulation, benchmark, feature-test, and integration evidence, documenting gaps, and approving integration readiness before release entry.
- Lead integrated inference end-to-end validation across the cloud-to-wafer stack and add risk-based scenarios to release regression.
- Improve master and release-branch stability through health metrics, failure classification, release-quality reporting, dashboards, qualification workflows, and release pipelines.
- Lead first-pass regression and rollout triage, coordinate resolution owners, drive root-cause analysis, place missing coverage at the correct layer, and plan rollout across multiple product and release projects.
- Partner with and mentor SDETs, feature teams, Integration, Core Infra, release owners, and deployment teams.
- Advance automation efficiency, diagnostics, probes, and roadmap test planning.

## Requirements
- Strong software-engineering fundamentals and programming ability in Python, Go, or a similar language.
- Technical leadership experience 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.
- 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.

## Preferred Skills
- Experience with software/hardware co-design, hardware accelerators, compilers, kernels, runtimes, or low-level systems.
- Experience with AI infrastructure, model deployment, LLMs, multimodal workloads, or large-scale compute clusters.
- Experience building test frameworks, distributed test systems, release pipelines, dashboards, or internal developer tooling.
- Experience with performance testing, profiling, observability, fault injection, reliability, or production failure analysis.
- Experience in a startup or similarly fast-moving engineering environment.
- Track record of taking a quality or release capability from zero to one and scaling it across teams.
- Familiarity with containers, cluster orchestration, cloud infrastructure, CI/CD, or high-performance computing.

## Benefits
- Build a breakthrough AI platform beyond the constraints of GPUs.
- Publish and open source cutting-edge AI research.
- Work on a fast AI supercomputer.
- Job stability with startup vitality.
- A non-corporate work culture that respects individual beliefs.

## Work Arrangement
- In-office presence at least three days per week; fully remote work is not available.

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