Senior Quality Engineer

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  

Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.

About The Role:

We are looking for a hands-on Senior Quality Engineer to drive Manufacturing Quality across our contract manufacturers (CMs) and suppliers. You will be on the front line ensuring that every Cerebras system meets our rigorous quality standards, scales reliably through aggressive production ramps, and ultimately delights our customers. This role will also play a critical part in New Product Introduction (NPI) — setting up control plans, quality gates, and proactive risk mitigation strategies to ensure smooth factory launches.  

As a pacesetter in problem-solving, you will model disciplined quality thinking across the team, raising the bar for structured root cause analysis, corrective actions, and continuous improvement. You will be part of the Quality Engineering team and work closely with Reliability Engineering, Manufacturing Operations, and our CMs to establish a “quality first” environment. 

Responsibilities

Manufacturing Quality Execution:

• Serve as the primary quality interface with contract manufacturers; drive alignment on build quality, yield, and corrective actions. 
• Lead day-to-day quality activities at the factory floor — audits, line walks, quality gates, outgoing quality checks. 
• Monitor SPC charts, AOI/inspection data, and parametric performance to proactively identify and correct drift. 
• Coordinate issue containment, corrective action, and verification to closure. 
• Own the quality alert process and partner with Engineering to ensure effective disposition of non-conformances. 

NPI Quality & Control Plan Strategy: 

• Lead NPI quality readiness: establish control plans, process audits, and quality gates for new product builds. 
• Partner with Engineering and Manufacturing to translate product requirements into measurable quality controls. 
• Proactively identify and de-risk potential failure modes before ramp using PFMEA and design reviews. 
• Ensure a smooth handoff from prototype to volume production with stable processes and clear accountability. 

Continuous Improvement & Problem-Solving Leadership:

• Act as a pacesetter for problem-solving excellence — driving the consistent use of 8D, 5 Whys, and PFMEA across functions. 
• Partner with Reliability Engineering to integrate manufacturing and field data, accelerating detection of systemic issues. 
• Identify and prioritize key quality metrics (yield, defect rates, escape rates, first-pass yield) and ensure visibility to stakeholders. 
• Support manufacturing change reviews to ensure risks are understood and mitigated before implementation. 

Supplier & Cm Engagement:

• Work with Supplier Quality to ensure incoming material quality is stable and consistent with outgoing factory performance. 
• Build strong working relationships with CM quality teams, establishing clear escalation paths and accountability. 
• Participate in supplier audits and quality reviews, feeding learnings back into manufacturing processes. 

Skills And Qualifications:

• 7–10 years of experience in Manufacturing Quality Engineering for complex electro-mechanical products, ideally in semiconductors, consumer electronics, datacenter hardware, or automotive tech. 
• Proven track record managing CM quality — containment, corrective actions, yield improvement. 
• Strong knowledge of SPC, DOE, control plan strategy, AOI, and inspection systems. 
• Hands-on problem-solving experience with 8D, 5 Whys, PFMEA/DFMEA; known as a go-to problem solver and mentor for others. 
• Experience supporting NPI builds and standing up quality controls at new factories. 
• Data fluency: ability to analyze yield and quality trends in Excel, Python, or SQL and present findings in clear dashboards. 
• Comfortable working in fast-paced environments with aggressive ramps and evolving processes. 
• B.S. in Mechanical, Electrical, Industrial, or Manufacturing Engineering (or related technical field) 
• Strong interpersonal skills with a sense of humor, thriving in an inclusive environment where people feel respected, supported, and motivated to perform at their best. 

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.

Read our blog: Five Reasons to Join Cerebras in 2025.

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.

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