Release Qualification Team Lead

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

The Inference Service Quality team owns the confidence behind every release shipped across Cerebras Cloud, Inference Platform, and Inference API. We work closely with platform, infrastructure, ML systems, and product engineering teams to ensure that rapid iteration never comes at the expense of customer trust. Our environment spans distributed cloud systems, multi-region deployments, APIs, orchestration layers, and hardware-backed inference services.

Release velocity is high and the systems grow more complex every quarter. We need a leader who can turn release qualification from an ad hoc, reactive scramble into a predictable, owned discipline that scales with the business.

As the Release Qualification Team Lead, you will be the accountable owner for weekly end-to-end release qualification on behalf of our org, establishing it as a first-class, owned discipline. You will build and run a purpose-built release qualification team with planned triage capacity and the depth of context needed to triage, debug, and confidently decide what unblocks a release. You will own the full release qualification lifecycle — test planning, release planning, documentation, and tooling — turning hard-won knowledge into organized, accessible practice.

As the technical counterpart to the cross-org qualification team, you'll be the person who truly understands our tests and can speak for them. Success in this role depends on effective communication and close coordination across teams and time zones, keeping every stakeholder aligned through fast-moving release windows.

A central part of your charter is expanding end-to-end coverage across Cloud, Inference Platform, and Inference API — qualifying the steady stream of new Cerebras models, the new APIs that support them, and new cloud features, and driving qualification all the way through as the systems grow.

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  Drive weekly end-to-end release qualification as the accountable owner from our org.

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  Build and run a purpose-built release qualification team so triage capacity is planned, not scrambled — ensuring strong, predictable representation from our org rather than ad hoc pulls.

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  Own the full release qualification lifecycle: test planning, release planning, document

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  Own triage, debug, and escalation during release windows — including deciding what blocks a release and routing fixes to the right owners.

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  Drive expanded end-to-end coverage across Cloud, Inference Platform, and Inference API,e way through despite cross-org boundaries.

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  Partner with the cross-org release qualification team as the technical counterpart who actually understands our tests.

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  Distinguish real regressions from flakiness quickly, and keep a living record of what td who to escalate to.

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  Mentor engineers on triage, debugging practices, and qualification methodology.

• 7+ years of relevant industry experience in software integration, development, or quality engineering, including prior release qualification experience.

• Proven ownership of end-to-end release or qualification processes for complex, distribu

• Strong track record of debugging complex issues across distributed, scaled-out deployments under release-blocking time pressure.

• Deep expertise in automation and programming using one or more languages such as Pythongn and build reusable test frameworks from the ground up.

• Demonstrated ability to lead cross-functional initiatives spanning multiple orgs, product development, product management, and field teams.

• Sound judgment on coverage trade-offs, risk-based prioritization, and go/no-go release

• Excellent verbal and written communication skills, with experience presenting technical findings to both engineering and leadership audiences.

• Strong organizational skills, ownership mindset, and ability to drive projects to compl

• Experience leading and mentoring engineers across geographically dispersed teams and time zones.

• Hands-on experience with ML workloads including LLM and/or multimodal training or inference.

• Experience designing test strategies for distributed systems, cloud infrastructure, and

• Experience with microservices deployment, debugging, and orchestration at scale.

• Familiarity with hardware-backed inference services and the trade-offs of hardware/soft

• Prior experience building or significantly shaping a team's quality engineering culture or test infrastructure.

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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