ML Integration and Ops Engineer

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.About The Role

As an MTS (ML Integration and Ops Engineer), you will play a pivotal role in bringing together all software and hardware components that makes large scale LLM model training simple and easy to use. You will be part of MIQ (ML Integration and Quality) team that will focus on SW components feature integration, ML training, pre deployment/production validation, driving POC's for customers and managing customer workloads. As part of this role, you will influence the best testing practice, good debugging methodology, effective cross team communication and advocate for world-class products.Responsibilities

Drive technical projects involving multiple teams, various software and hardware components coming together to make large scale LLM model training simple and easy to useBring good integration methodology, effective communication and strong debugging skillsBreak down complex tasks into smaller tasks. Be a problem solver.Automation of workflows, testbed setups and building tools to monitor/debugImplement creative ways to break Cerebras software and identify potential problemsContribute to developing SW specifications with a focus on ML productsSkills & Qualifications

Master's degree in computer science or EE with 0-6 years of industry experienceExperience in product validation for compute/machine learning/networking/storage systems within a large-scale enterprise environmentExperience debugging issues in large distributed systems environmentStong automation and programming skills using one or more programming languages like python, C++ or goStrong knowledge of software system designKnowledge of ML workflows and frameworks like Tensorflow or PyTorchPreferred

Hands on experience with training LLMs.Hands on experience working with container, Kubernetes.Experience in driving projects across multiple teams.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: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.

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