Software Integration Engineer
1 month ago
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 RoleAs 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 use.
- Automation of workflows, testbed setups and building tools to monitor/debug.
- Implement creative ways to break Cerebras software and identify potential problems.
- Master's degree in computer science or EE with 0-6 years of industry experience.
- Experience in product validation for compute/machine learning/networking/storage systems within a large-scale enterprise environment.
- Strong automation and programming skills using one or more programming languages like Python, C++ or Go.
- Strong knowledge of software system design.
- Hands on experience with training LLMs.
- Experience in driving projects across multiple teams.
People who are serious about software make their own hardware. li>
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