Cluster Solution Engineer
Key Skills for This Role
Full Job Posting
Description and Requirements
- Design and validate AI cluster infrastructure management solutions.
- Design and develop methodologies, processes, software frameworks and tools for AI cluster deployment and end-to-end performance evaluation and tuning.
- Design and develop hardware and software product features that improve AI cluster solutions in performance, manageability, serviceability, and so forth.
- Collaborate with cross-functional teams and contribute to business projects and customer engagements.
Basic Qualifications
- BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or other related fields.
- 2+ years of experience in design and implementation of datacenter hardware and software systems, with expertise in at least one of the following areas: server, network, storage, performance benchmarking.
- Strong programming skills (e.g., C/C++, Python, Go, shell scripting).
- Understanding of Machine Learning and Deep Learning principles.
- Experience with Machine Learning frameworks such as PyTorch, LangChain, LangGraph, Autogen, etc.
- Excellent communication and leadership skills.
- Ability to learn new technologies and concepts quickly.
- Innovative mindset with the ability to think outside the box.
Preferred Qualifications
- Master in Computer Science or Computer Engineering.
- Experience with AI infrastructure solutions in production environments.
- Experience with AI hardware and software stack (e.g., CPU, GPU, network switch, ML platforms, libraries, runtimes).
- Ability to innovate and publish at top conferences.
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