Cloud Solutions Architect

2 weeks ago


Montpelier, Vermont, United States Intel Full time
Cloud Solution Engineer

Intel is seeking a highly skilled Cloud Solution Engineer to join our team. As a Cloud Solution Engineer, you will be responsible for designing and implementing cloud solutions that optimize the capabilities of Intel hardware for AI-driven applications, particularly those involving large language models (LLMs).

Key Responsibilities:
  • Design and implement cloud solutions that leverage Intel technologies and Gaudi AI accelerators or GPU, with a focus on LLM applications.
  • Work closely with AI researchers and developers to understand their cloud infrastructure needs for LLM development and deployment.
  • Keep up-to-date with advancements in LLMs, including training techniques, optimization, and deployment in cloud environments.
  • Integrate Intel's development tools and libraries to support the development and scaling of LLMs in the cloud.
  • Advocate for the Intel Developer Cloud services and the use of Gaudi AI accelerators through technical discussions and developer support.
  • Provide technical leadership and mentorship within project teams, promoting best practices in cloud architecture and AI.
  • Analyze emerging trends in cloud computing and AI, especially LLMs, to guide the development of Intel Developer Cloud services.
  • Provide a White Glove support service experience to customers.
  • Work effectively with Site Reliability Engineering to drive requirements for monitoring and alerting to meet service uptime requirements.
Requirements:
  • Bachelor's degree in Electrical/Computer Engineering or Computer Science and 6+ years of experience -OR- a Master's degree in Electrical/Computer Engineering or Computer Science and 4+ years of experience -OR- a PhD in Electrical/Computer Engineering or Computer Science and 2+ years of experience in cloud or cluster computing infrastructure, hands-on debugging of live production systems, cloud architecture, AI performance engineering, or related fields.
  • Experience with Intel hardware and software, including Gaudi AI accelerators, and familiarity with LLMs.
  • Knowledge of current LLM frameworks and tools, and their implementation in cloud platforms.
  • Proficiency in cloud service models, virtualization, container orchestration, and cloud-native technologies.
  • Skilled in scripting, automation, and Infrastructure as Code (IaC) tools.
  • Excellent communication skills and the ability to work collaboratively within a team environment.
Preferred Qualifications:
  • 5+ years on customer-facing solution engineering related functions.
  • 3+ years on systematically optimizing workloads in the large cluster infrastructure.
  • Relevant certifications in cloud computing, AI, or machine learning are desirable.
About Intel:

Intel is a leader in the development of computing technologies, including CPU, GPU, AI accelerator, and IPU hardware. Our Software and Advanced Technology Group (SATG) is focused on developing and shaping the way people think about computing by focusing on developers, ecosystem partners, academia, and more.

We are redefining the space with cutting-edge software technologies and industry-leading hardware. Join us if you want to make history, provide innovative solutions to challenging engineering problems, and challenge the state-of-the-art in cloud technologies.



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