Job Summary
This position focuses on enhancing and refining system code through the application of advanced techniques such as sharding and quantization, aimed at boosting overall model performance. The role also requires the creation of automated frameworks for agentic AI, alongside working with compiler teams to develop scalable performance solutions.
Responsibilities
- Write and optimize system code employing cutting-edge methods for improved model efficiency.
- Develop automated systems for agentic AI.
- Collaborate with compiler teams to create scalable performance solutions.
Qualifications
- Bachelor’s degree in a relevant field.
- A minimum of 2 years of experience in software development, computer architecture, and performance analysis.
- Strong skills in systems engineering.
- Experience with AI agents or workflows powered by large language models (LLMs).
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