Quality Engineer

As a Quality Engineer at Cerebras Systems, you will be responsible for standardizing and reporting critical quality metrics across our manufacturing, system integration, and customer deployment processes. Your main focus will be enhancing quality and reliability through data analysis, improving our quality culture, and defining essential quality attributes in collaboration with engineering teams.

To apply for the Quality Engineer position at Cerebras Systems, candidates should hold a Bachelor's degree in Mechanical, Industrial, or Electrical Engineering or have equivalent experience. Additionally, a minimum of 7 years in quality engineering or management, alongside strong analytical and problem-solving skills, is essential for success in this role.

At Cerebras Systems, our Quality Engineers utilize collaborative strategies to guide and enhance our quality roadmap with both suppliers and contract manufacturers. This involves driving supplier Incoming Quality Assurance (IQA) processes to ensure adherence to Cerebras' rigorous specifications, ultimately leading to improved quality across the supply chain.

Strong leadership abilities, practical problem-solving skills, and experience in implementing quality management databases are vital for a Quality Engineer at Cerebras Systems. You should also be capable of maintaining quality under pressure, managing multiple projects, and defining impactful quality metrics to align cross-functional teams.

The Quality Engineer position at Cerebras Systems is unique because it allows you to work on transformative technology, specifically in creating the world’s largest AI chip. You will have the opportunity to significantly impact AI applications across industries while being part of a fast-paced environment that fosters innovation and personal growth.

In your response, emphasize specific methodologies you've implemented, such as Six Sigma or ISO standards. Discuss any quantitative outcomes you've achieved through these methods and how they positively impacted previous projects.

You can explain that quality in product development should encompass customer expectations, regulatory compliance, and performance benchmarks. Provide examples of how you have previously aligned these elements within project timelines.

Outline a structured approach to root cause analysis, such as using the 5 Whys or Fishbone Diagram techniques. Share an example to illustrate your thought process and the successful resolution of a quality issue.

Discuss your strategies for prioritization, such as assessing impact, urgency, and resource availability. Mention any tools or project management techniques that aid you in organizing tasks effectively.

Share a specific example where you identified a quality issue, analyzed data, proposed a solution, and implemented changes that improved efficiency or quality metrics. Highlight the positive outcomes and how they were measured.

Provide details of any specific statistical tools or methodologies you’ve used, like control charts or hypothesis testing. Discuss how you applied them in your previous roles to drive improvements in product quality.

Explain your approach to supplier audits, performance reviews, and communication of quality standards. Share how you’ve worked with suppliers to address issues and ensure consistent quality.

Elaborate on the importance of collaboration across departments, particularly engineering, operations, and management. Provide examples of successful teamwork that resulted in improved quality outcomes.

Discuss your approach to investigate the failure, communicate with stakeholders, and develop corrective action plans. Highlight the importance of learning from the failure to prevent recurrences.

Share your passion for quality and continuous improvement. Discuss any personal or professional experiences that drive your commitment to ensuring high standards and innovation in your work.