What are the responsibilities and job description for the Performance Engineer position at Cerebras Systems?
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.ResponsibilitiesDevelop models for the hardware, software stack, and workload to estimate end-to-end performanceDevelop tools to analyze performance and identify bottlenecks and optimization opportunitiesWork with the hardware and software design teams to analyze and optimize workload performanceWork with the software stack teams to implement optimizations and tune overall performanceOptimize microcode kernels and algorithms to achieve the best possible micro architecture utilizationRequirementsDegree in Computer Science, Electrical Engineering, or equivalent, particularly with focuses in computer architectureExperience with performance analysis on CPUs, GPUs, and parallel architecturesExperience with end-to-end workload analysis from low level assembly instruction code to high level distributed algorithmsProgramming / scripting experience in C / C and PythonExposure to Machine Learning models and data flow is a plusWhy Join CerebrasPeople 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 : Build a breakthrough AI platform beyond the constraints of the GPUPublish and open source their cutting-edge AI researchWork on one of the fastest AI supercomputers in the worldEnjoy job stability with startup vitalityOur simple, non-corporate work culture that respects individual beliefsRead our blog : Five Reasons to Join Cerebras in 2024.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.