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! ResponsibilitiesStandardize and report critical quality metrics across the full system pipeline including manufacturing sub-assembly, system integration, and customer deploymentPrioritize and drive system quality and reliability improvements leveraging data obtained from manufacturing, test, debug, and customer reportsWork with Systems Engineering and Operations to drive a proactive quality culture in next generation product design definition and manufacturing executionLeverage technical abilities in collaboration with engineering to define critical quality attributes and specifications for critical components and assembliesMonitor appropriate system quality metrics to ensure that acceptable quality levels are maintainedDefine and implement incoming quality control process for in house manufacturing operationsBackground and experience with statistical analysis will be valuedWork closely with engineering to perform print reviews and ensure appropriate quality specifications are in placeSupport supplier quality engineering where appropriate to guide and improve our quality roadmap with critical suppliers and contract manufacturersHelp drive supplier IQA processes to insure conformity to rigorous Cerebras specificationsDrive continuous quality improvements to significantly impact system yield and field reliabilityExperience in establishing ISO9K Quality System and supporting infrastructure is a bonusRequirements Bachelor's degree in Mechanical, Industrial, or Electrical Engineering or equivalent experience7+ years of quality engineering or management experienceAbility to find or see clarity and propose action plan(s) in situations where ambiguity existsStrong leadership and practical problem-solving skills with ability to lead, motivate, and influence othersExperience implementing quality databases and reporting mechanisms from concept to business adoptionAble to work under pressure while managing competing priorities and tight deadlines of multiple simultaneous projects and challengesTrack record of impacting quality across the full product lifecycle including development, NPI, and product sustainmentStrong analytical and problem-solving skills with the ability to define problem statements, identify root cause and implement corrective actionsStrong ability to define and report the right quality metrics that will drive cross-functional resourcing and priorities for system quality and reliability improvementCerebras 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