{"id":234046,"url":"https://alion.io/job/cerebras-systems-release-qualification-team-lead","title":"Release Qualification Team Lead","company":{"id":31,"name":"Cerebras Systems","domain":"cerebras.ai","url":"https://alion.io/company/cerebras-systems","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":86,"open_postings":113,"ghost_share":0.15,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":97,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Management","role_family":"Management","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Cerebras","optional":false},{"name":"OpenAI","optional":false},{"name":"LLM","optional":true},{"name":"Multimodal AI","optional":true}],"status":"live","first_seen_at":"2026-07-20T16:36:33Z","employer_posted_date":"2026-07-20","last_verified_at":"2026-11-04T13:21:23Z","board_verified":true,"closed_at":null,"days_open":106,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":106},"description":"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. \nThis 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.\nCerebras 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.\nAbout The Team\nThe 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.\nRelease 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.\nAbout The Role\nAs 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.\nAs 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.\nA 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.\nResponsibilities\nDrive weekly end-to-end release qualification as the accountable owner from our org.\n\nBuild 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.\n\nOwn the full release qualification lifecycle: test planning, release planning, document\n\nOwn triage, debug, and escalation during release windows - including deciding what blocks a release and routing fixes to the right owners.\n\nDrive expanded end-to-end coverage across Cloud, Inference Platform, and Inference API,e way through despite cross-org boundaries.\n\nPartner with the cross-org release qualification team as the technical counterpart who actually understands our tests.\n\nDistinguish real regressions from flakiness quickly, and keep a living record of what td who to escalate to.\n\nMentor engineers on triage, debugging practices, and qualification methodology.\n\nSkills & Qualifications\n7+ years of relevant industry experience in software integration, development, or quality engineering, including prior release qualification experience.\n\nProven ownership of end-to-end release or qualification processes for complex, distribu\n\nStrong track record of debugging complex issues across distributed, scaled-out deployments under release-blocking time pressure.\n\nDeep expertise in automation and programming using one or more languages such as Pythongn and build reusable test frameworks from the ground up.\n\nDemonstrated ability to lead cross-functional initiatives spanning multiple orgs, product development, product management, and field teams.\n\nSound judgment on coverage trade-offs, risk-based prioritization, and go/no-go release\n\nExcellent verbal and written communication skills, with experience presenting technical findings to both engineering and leadership audiences.\n\nStrong organizational skills, ownership mindset, and ability to drive projects to compl\n\nExperience leading and mentoring engineers across geographically dispersed teams and time zones.\n\nPreferred Skills & Qualifications\nHands-on experience with ML workloads including LLM and/or multimodal training or inference.\n\nExperience designing test strategies for distributed systems, cloud infrastructure, and\n\nExperience with microservices deployment, debugging, and orchestration at scale.\n\nFamiliarity with hardware-backed inference services and the trade-offs of hardware/soft\n\nPrior experience building or significantly shaping a team's quality engineering culture or test infrastructure.\n\nWhy Join Cerebras\nPeople 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:\nBuild a breakthrough AI platform beyond the constraints of the GPU.\n\nPublish and open source their cutting-edge AI research.\n\nWork on one of the fastest AI supercomputers in the world.\n\nEnjoy job stability with startup vitality.\n\nOur simple, non-corporate work culture that respects individual beliefs.\n\nFind out more about what it's like to work at Cerebras here!\nApply today and become part of the forefront of groundbreaking advancements in AI!\nCerebras 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.\nThis website or its third-party tools process personal data. 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