Cerebras Systems
Supplier Quality Engineer - New Grad
Sunnyvale, CA · Junior · Internship
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About the role
- Complex, high-risk, or business-critical decisions will be handled in partnership with senior members of the Supplier Quality team.
Responsibilities
- Maintain First Article, supplier-qualification, audit, and quality records in Product Lifecycle Management and quality-management systems using established document, revision, and change-control practices.
- Issue and manage routine Supplier Corrective Action Requests with guidance as needed. Review supplier containment and 8D responses, track commitments and due dates, and help verify corrective-action effectiveness using objective evidence.
- Support new-supplier assessments and qualification activities, including reviews of technical capability, quality systems, manufacturing controls, inspection methods, traceability, capacity, and risk.
- Participate in supplier quality-system and manufacturing-process audits. Document observations, track assigned corrective actions, and help drive findings to closure.
- Support supplier readiness for new-product-introduction and pilot builds by reviewing inspection plans, process flows, process failure mode and effects analyses, control plans, measurement methods, and capability data where applicable.
- Work with Engineering, Operations, Strategic Sourcing, and suppliers to communicate requirements, resolve quality issues, and drive assigned actions to closure.
Requirements
- Ability to read engineering drawings and specifications, with foundational knowledge of tolerances and geometric dimensioning and tolerancing.
- Proficiency with Excel or similar tools for organizing, analyzing, and presenting quality data.
- Ability to work effectively across internal engineering and operations teams and with external suppliers.
- 2026 new graduate available for an immediate start.
- Bachelor's degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Industrial Engineering, Materials Science, or a related technical field, completed or expected before the position's start date.
- Zero to two years of relevant experience. Internships, co-op assignments, research, laboratory work, and hands-on engineering projects are valued.
- Foundational understanding of manufacturing, inspection, quality engineering, statistics, and structured problem-solving.
- Familiarity with First Article Inspection and quality tools such as statistical process control, Cp/Cpk, measurement-system analysis, process failure mode and effects analysis, control plans, 8D, and 5 Whys through coursework, internships, or project experience.
- Exposure to one or more relevant manufacturing processes, such as printed circuit board assembly, cables, machining, sheet metal, plastics, or system assembly.
- Familiarity with, or the ability to learn, Product Lifecycle Management and quality-management systems, including document control, revision control, engineering changes, approval workflows, and configuration traceability.
- Ability to evaluate technical evidence, distinguish facts from assumptions, document findings accurately, and communicate risks clearly.
- Strong attention to detail, organization, curiosity, initiative, and willingness to learn from experienced engineers and manufacturing partners.
- Willingness to travel to domestic and international supplier sites as needed for assessments, production support, training, and issue resolution.
Nice to have
- Internship, co-op, project, or research experience in supplier quality, manufacturing, hardware development, quality engineering, or operations.
- Familiarity with ISO 9001, AS9100, Advanced Product Quality Planning, Production Part Approval Process, or another relevant quality standard or product-qualification framework.
- Hands-on participation in an engineering organization or project such as Formula SAE, robotics, aerospace, electronics, or a university manufacturing laboratory.
- Why Join Cerebras
- 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:
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
Skills
- Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
Company info
- Build a breakthrough AI platform beyond the constraints of the GPU.
This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.