About the role
We are seeking a highly motivated & skilled Member of Technical Staff to join our growing engineering team. Member of Technical Staff will play a crucial role in developing inference benchmarks & system modelling
What they're looking for
- Proactive, self-motivated, and capable of working independently in a global team
- Demonstrated experience in ML frameworks such as PyTorch or JAX through professional experience, personal projects, or personal Substack blogs
- Solid understanding of at least 1 of the following: transformer architecture, LLM parallelism strategies, and/or CUDA parallel programming
- Strong research skills and the ability to synthesize information from various sources to draw insights
- English language proficiency required, Chinese language proficiency preferred
More about this role
Work Setting: In-office/Remote
Work Location: United States, New York, Mexico, San Francisco, Canada
Work Hours: Office hours
Find out more here: https://semianalysis.com
About SemiAnalysis
SemiAnalysis is an independent research and analysis firm specializing in the Semiconductor and AI industries. Our in-depth coverage spans the entire supply chain, from semiconductor fabrication processes to state-of-the-art AI Models, CUDA kernels, and GPU cloud infrastructure. We are recognized as the leading authority on AI infrastructure, with the highest concentration of industry experts within one team, and a deep-rooted passion for delving into the intricacies.
We’re a global team of over 20 analysts & engineers, each with extensive networks across the semiconductor supply chain and AI ecosystem, publishing industry‑shaping articles while participating in 40+ conferences annually.
Our newsletter reaches more than 200 000 subscribers worldwide, including senior management and C‑suite leaders at the leading semiconductor and AI companies.
InferenceMAX: The world first open inference benchmark that continuous benchmarks performance of popular frontier models
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