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 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
Position Overview
- 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
Key Responsibilities
- 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.
Qualifications
- 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.
