Supplier Quality Engineer - New Grad

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 Role

We are looking for a New College Graduate Supplier Quality Engineer to support supplier quality for the components, printed circuit board assemblies, subassemblies, and system-level products used in Cerebras systems.

In this role, you will work with experienced Supplier Quality Engineers and collaborate with Design Engineering, Manufacturing Engineering, Reliability Engineering, Operations, Strategic Sourcing, and suppliers. You will review supplier quality documentation, monitor supplier performance, investigate manufacturing issues, and help ensure suppliers are ready to support new-product introduction and production.

As you develop technical knowledge and experience, you will take increasing ownership of First Article Inspection reviews, routine supplier corrective actions, supplier-performance analysis, and qualification activities. Complex, high-risk, or business-critical decisions will be handled in partnership with senior members of the Supplier Quality team.

Key Responsibilities

• Review First Article Inspection packages against engineering drawings, specifications, dimensional results, and material and process certifications. Identify gaps in supplier evidence and, after appropriate training, approve packages within an assigned level of authority.

• 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.

• Monitor supplier scorecards and quality trends, including defects, parts per million, supplier escapes, audit findings, repeat nonconformances, and corrective-action aging. Summarize risks and escalate adverse trends.

• 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.

• Assist with incoming-quality issues, nonconformance investigations, material disposition, deviations, supplier change notifications, and changes involving processes, tooling, manufacturing sites, or sub-tier suppliers.

• Use structured problem-solving methods such as 8D, 5 Whys, and fishbone analysis to investigate supplier and manufacturing-quality issues.

• Work with Engineering, Operations, Strategic Sourcing, and suppliers to communicate requirements, resolve quality issues, and drive assigned actions to closure.

Skills and Qualifications

• 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.

• Ability to read engineering drawings and specifications, with foundational knowledge of tolerances and geometric dimensioning and tolerancing.

• 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.

• Proficiency with Excel or similar tools for organizing, analyzing, and presenting quality data.

• 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.

• Ability to work effectively across internal engineering and operations teams and with external suppliers.

• Willingness to travel to domestic and international supplier sites as needed for assessments, production support, training, and issue resolution.

Preferred Qualifications

• 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

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:

1. Build a breakthrough AI platform beyond the constraints of the GPU.

2. Publish and open source their cutting-edge AI research.

3. Work on one of the fastest AI supercomputers in the world.

4. Enjoy job stability with startup vitality.

5. 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.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.