Roles and Responsibilities:

• Research, develop, and implement state-of-the-art techniques to implement Large Language Models (LLM) and Generative AI on datacenter silicon compute solutions.
• Collaborate with cross-functional teams to design and execute projects that leverage LLMs for various applications, such as text generation, summarization, translation, and more.Stay up-to-date with the latest advancements in AI, machine learning, and generative models, and apply this knowledge to our compute solutions roadmap.
• Provide technical leadership and mentorship to junior team members, fostering a culture of innovation and continuous learning.

Minimum Qualifications:

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
• Proven expertise in working with Large Language Models, particularly GPT (Generative Pre-trained Transformer) variants.
• Strong understanding of generative models, deep learning, and natural language processing techniques.
• Proficiency in programming languages such as Python and experience with deep learning frameworks like TensorFlow or PyTorch.
• Demonstrated ability to drive projects from ideation to implementation, producing tangible outcomes.
• Experience with deploying AI models into production environments is desirable.