GPU Platform Engineer

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 50 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.

Some of industry-shaping articles related to GPU Clouds are:

• ClusterMAX™: World’s first GPU cloud rating system with over 90%+ coverage of the market aimed to help raise the industry bar & provide guideline for customers.
• NeoCloud Playbook & Anatomy : In depth explanation into the rising neocloud industry from H100 cluster BoM to GPU pricing trends
• GPU Cloud Economics Explained : Comparsion into the economies of running a CPU cloud vs GPU Cloud

Find out more here: https://semianalysis.com

• 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 ClusterMAX™ benchmarks
• You will also play a role in writing and preparing our newsletter articles for publishing, with the opportunity for direct authorship recognition.
• We are hiring individual contributors at all experience levels (beside interns). Compensation will be competitive
• As part of the interview process, you'll complete a paid coding challenge designed to reflect typical daily tasks at SemiAnalysis
• Competitive Compensation depending on experience, skillset, location & business needs
• The role is a full-time position. Unfortunately we do not have capacity to accept interns at this time.

• Lead the development of the next generation of our industry leading ClusterMAX™ GPU Cloud benchmark
• Develop & operate dozens of GPU clusters including GB200 NVL72, TPUv7, H200, Mi355, etc.
• Develop GPU Cloud benchmarks such as Storage IO & bandwidth benchmarks, PyTorch MLPerf benchmarks, etc.
• Author detailed technical research reports analyzing benchmark results, GPU Cloud performance, scalability, & efficiency.
• Establish and maintain strategic partnerships & collaborations with over 50 leading neocloud providers & AI chip manufacturers, including AMD, NVIDIA, and other industry stakeholders.

• Experience working at a hyperscaler or a GPU cloud
• 1-2 years using GPU or TPU clusters and/or running a multi-tenant GPU cluster
• Solid understanding of SLURM, & Kubernetes
• Practical experience in InfiniBand, NCCL, Fabric Manager, PyTorch, etc.
• Strong research skills and the ability to synthesize information from various sources to draw insights.