AI Inference Core - SDET Technical Lead, Release Integration Testing
Cerebras Systems6 days ago
Responsibilities
- Define Release Integration Testing strategy, ownership boundaries, entry and exit criteria, coverage expectations, and escalation thresholds.
- Own inference-path readiness approval by reviewing unit, simulation, benchmark, feature-test, and integration evidence.
- Lead integrated inference end-to-end validation across features and the cloud-to-wafer stack.
- Establish branch-health metrics, release-quality reporting, dashboards, qualification workflows, and release pipelines.
- Lead regression and rollout triage, coordinate issue resolution, drive root-cause analysis, and address missing test coverage.
- Design test architecture and automation while mentoring SDETs and partnering with feature, infrastructure, integration, qualification, release, and deployment teams.
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.
- Ability to investigate ambiguous cross-stack failures, 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.
- Preferred experience with software/hardware co-design, hardware accelerators, compilers, kernels, runtimes, AI infrastructure, model deployment, LLMs, test frameworks, distributed test systems, release pipelines, dashboards, performance testing, profiling, observability, fault injection, reliability, or production failure analysis.
- Preferred familiarity with containers, cluster orchestration, cloud infrastructure, CI/CD, or high-performance computing.
Benefits
- In-office role requiring at least three days per week; fully remote work is not available.
- Office locations are Sunnyvale, California, or Toronto, Ontario.
- Opportunity to build an AI platform beyond GPU constraints, work on an AI supercomputer, publish and open-source research, and participate in a startup environment with job stability.
- Cerebras emphasizes a non-corporate culture, continuous learning, growth, inclusion, and employee support.
About Cerebras Systems
Cerebras Systems designs and sells AI compute systems built around its wafer-scale WSE-3 processor, delivered as the CS-3 appliance and via the Cerebras Cloud. It targets enterprises, model labs, and government users needing fast training and inference, and offers on‑prem and cloud deployments. Privately held and headquartered in Sunnyvale, California, the company announced a multi-year partnership with OpenAI to deploy large-scale inference capacity.