{"id":17082,"url":"https://alion.io/job/cerebras-ai-engineer-model-quality-and-performance","title":"AI Engineer, Model Quality and Performance","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":"B","score":76,"open_postings":25,"ghost_share":0,"stale_share":0.76,"repost_share":0,"time_to_fill_p50_days":86,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":194000,"max_usd":424000,"period":"year","method":"role_country_seniority_unknown","sample_n":4027},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Cerebras","optional":false},{"name":"Claude","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"Git","optional":false},{"name":"OpenAI","optional":false},{"name":"lm-eval-harness","optional":true},{"name":"Multimodal AI","optional":true}],"status":"live","first_seen_at":"2026-05-15T12:28:49Z","employer_posted_date":"2026-05-15","last_verified_at":"2026-10-19T03:09:11Z","board_verified":true,"closed_at":null,"days_open":156,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":156},"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 Role\nYou'll own model quality and performance for Cerebras' inference offerings. You will define what \"good\" looks like across the models we serve, building AI-driven systems to measure it at scale, and translating those signals into artifacts our customers and product team actually use.\nYou'll use AI agents to spin up custom eval suites per customer use case, mine trajectories for representative test data, automate the repetitive parts of release qual, and help build performance datasets and benchmarking workflows for customer use cases. We want someone whose first instinct is \"how do I get an AI agent to do this on a loop.\"\nYou'll sit between engineering, product, and customer-facing teams.\nWhat You'll Do\nDesign eval suites with AI agents in the loop. For every model release, curate a thoughtful mix of advanced, basic, long-context, and customer-use-case-specific evals. Use Claude to generate, validate, and prune candidate test cases at speed.\n\nBuild custom evals for target customers by orchestrating AI agents to mine trajectories from their workloads and synthesize representative eval sets.\n\nAutomate eval execution end-to-end with AI-driven pipelines on top of standard tooling (Docker, Git, CI). The goal is a system that runs itself between releases, not a script you re-run by hand.\n\nBuild automations to forecast and benchmark model performance on Cerebras for our top customers, including modeling how fast customer-specific workloads will run in production.\n\nBuild product-quality tooling that synthesizes quality + performance data into a single, easy-to-use view.\n\nSkills & Qualifications\nExperience building AI agents. You ship real systems with Claude (or equivalent) as a force multiplier. You've built things that would have been infeasible solo without AI agents in the loop.\n\nStrong math/stats background..\n\nComfort with Docker, Git, and the standard automation stack\n\nA taste for tooling design. You've shipped something that a non-engineer used without complaining. Bonus if AI helped you ship it.\n\nAssets\nPerformance-tuning experience on custom silicon, GPUs, or FPGAs.\n\nExperience designing evals for agentic / coding / long-context / multimodal use cases.\n\nFamiliarity with open-source eval frameworks (EvalScope, lm-eval-harness, etc.).\n\nExperience building AI agents.\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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