Technical Lead Manager, Release Qual & Integration (AI Inference Core)

About the role

Cerebras Systems builds the world's largest AI chip, delivering inference speeds over 10 times faster than GPU-based cloud services. It is looking for a hands-on Technical Lead Manager (Release Qual & Integration) to establish and lead Release Integration Testing within Release & Feature Qualification for AI Inference Core. The role defines the quality strategy across the pre-release and release cycle, from feature and model integration through branch stability, release qualification, deployment and post-release learning, working across AI frameworks, runtime, compiler, kernels, distributed systems, infrastructure and hardware. It is a technical-leadership role, not a coordination-only position.

Key responsibilities

• Define the Release Integration Testing strategy, engagement criteria, ownership boundaries, entry and exit criteria, coverage expectations and escalation thresholds.
• Engage early on high-risk inference changes and 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 readiness before release entry.
• Lead integrated inference end-to-end 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 through health metrics, failure classification, quality reporting, dashboards, qualification workflows and release pipelines.
• Lead first-pass regression and rollout triage, coordinate owners, drive root cause analysis, place missing coverage at the right layer and plan rollouts across multiple projects.
• Mentor SDETs, feature teams, Integration, Core Infra, release owners and deployment teams, and advance automation, diagnostics, probes and test-roadmap planning.

Required profile

• Demonstrated technical leadership in software quality, test infrastructure, systems validation, release engineering or complex software integration.
• Proven ability to break down ambiguous cross-stack failures, form hypotheses, gather evidence and drive issues to resolution.
• Ability to influence and align multiple engineering teams without relying solely on organizational authority.
• Clear communication and sound judgment under pressure, able to explain technical risk to engineering and leadership audiences.
• Preferred: experience in a startup or fast-moving, resource-constrained environment, and a track record of growing a quality or release capability from zero to one.

Required skills

• Software-engineering fundamentals and programming in Python, Go or a similar language.
• Design of automation and test architecture for distributed, systems-level, infrastructure or AI software.
• Risk-based testing, release readiness, regression strategy, failure analysis and quality metrics.
• Preferred: software/hardware co-design, compilers, kernels, runtimes, AI infrastructure, LLMs, multimodal workloads, large-scale compute clusters, performance testing, profiling, observability, fault injection, containers, cluster orchestration, CI/CD and high-performance computing.

The role requires in-office presence at least three days per week, in Sunnyvale, CA or Toronto, ON.