Release Qualification Team Lead
Cerebras is hiring a Release Qualification Team Lead for a remote role open to applicants in India. Level rates it ; you can apply on Cerebras.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- The posting mentions OpenAI, APIs and Cloud Platforms among its tools and skills.
- Level classes it as a lead role.
- Cerebras has 121 other open roles on Level.
AI in this role
Lead the inference service quality and release qualification team for high-speed AI chips, cloud, and API infrastructure.
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.
About The Team
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.
About The Role
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.
Responsibilities
Drive weekly end-to-end release qualification as the accountable owner from our org.
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.
Own the full release qualification lifecycle: test planning, release planning, document
Own triage, debug, and escalation during release windows — including deciding what blocks a release and routing fixes to the right owners.
Drive expanded end-to-end coverage across Cloud, Inference Platform, and Inference API,e way through despite cross-org boundaries.
Partner with the cross-org release qualification team as the technical counterpart who actually understands our tests.
Distinguish real regressions from flakiness quickly, and keep a living record of what td who to escalate to.
Mentor engineers on triage, debugging practices, and qualification methodology.
Skills & Qualifications
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.
Preferred Skills & Qualifications
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.
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.
Find out more about what it's like to work at Cerebras here!
Apply today and become part of the forefront of groundbreaking advancements in AI!
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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How we rate this
Release Qualification Team Lead at Cerebras rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a research question you investigated. What did you find?
- Tell me about a project where qa was part of your work. What did you do?
- Tell me about a project where test planning was part of your work. What did you do?
- Tell me about a project where inference systems was part of your work. What did you do?
- Tell me about a project where release management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Research, Qa, Test Planning, Inference Systems, and Release Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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