Cerebras has developed a radically new chip and system to dramatically accelerate deep learning applications. Our system runs training and inference workloads orders of magnitude faster than contemporary machines, fundamentally changing the way ML researchers work and pursue AI innovation.

We are innovating at every level of the stack – from chip, to microcode, to power delivery and cooling, to new algorithms and network architectures at the cutting edge of ML research. Our fully-integrated system delivers unprecedented performance because it is built from the ground up for deep learning workloads.

Cerebras is building a team of exceptional people to work together on big problems. Join us!

Responsibilities

• Standardize and report critical quality metrics across the full system pipeline including manufacturing sub-assembly, system integration, and customer deployment
• Prioritize and drive system quality and reliability improvements leveraging data obtained from manufacturing, test, debug, and customer reports
• Work with Systems Engineering and Operations to drive a proactive quality culture in next generation product design definition and manufacturing execution
• Leverage technical abilities in collaboration with engineering to define critical quality attributes and specifications for critical components and assemblies
• Monitor appropriate system quality metrics to ensure that acceptable quality levels are maintained
• Define and implement incoming quality control process for in house manufacturing operations
• Background and experience with statistical analysis will be valued
• Work closely with engineering to perform print reviews and ensure appropriate quality specifications are in place
• Support supplier quality engineering where appropriate to guide and improve our quality roadmap with critical suppliers and contract manufacturers
• Help drive supplier IQA processes to insure conformity to rigorous Cerebras specifications
• Drive continuous quality improvements to significantly impact system yield and field reliability
• Experience in establishing ISO9K Quality System and supporting infrastructure is a bonus

Requirements

• Bachelor’s degree in Mechanical, Industrial, or Electrical Engineering or equivalent experience
• 7+ years of quality engineering or management experience
• Ability to find or see clarity and propose action plan(s) in situations where ambiguity exists
• Strong leadership and practical problem-solving skills with ability to lead, motivate, and influence others
• Experience implementing quality databases and reporting mechanisms from concept to business adoption
• Able to work under pressure while managing competing priorities and tight deadlines of multiple simultaneous projects and challenges
• Track record of impacting quality across the full product lifecycle including development, NPI, and product sustainment
• Strong analytical and problem-solving skills with the ability to define problem statements, identify root cause and implement corrective actions
• Strong ability to define and report the right quality metrics that will drive cross-functional resourcing and priorities for system quality and reliability improvement