What are the responsibilities and job description for the Full Stack Engineer, AI Accelerator Open Source Ecosystem position at SemiAnalysis?
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.
Some Of Industry-shaping Articles Are
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 building & scaling our internal (soon to be open sourced) AI Accelerator Open Source Ecosystem Tracker — a full-stack Next.js application that tracks pull requests, test parity, CI health, and performance benchmarks across all open-source projects in the CUDA/ROCm/Trainium/TPU software ecosystem. You will also play a role in writing and preparing weekly digests & technical reports on upstream contribution health, ROCm/CUDA/Trainium/TPU parity trends, and cross-accelerator benchmark results, with the opportunity for direct authorship recognition.
We are hiring individual contributors at all experience levels. Compensation will be competitive.
As part of the interview process, you'll complete a paid coding challenge designed to reflect typical daily tasks — building full stack interactive apps, designing database schemas for PR metrics, and integrating GitHub API data pipelines.
Qualifications
At SemiAnalysis, you’re placed directly inside the most important conversations shaping the future of AI and semiconductors. You’ll develop a first-principles understanding of the technical and economic dynamics behind the world’s most consequential technology, with rare end-to-end visibility across the entire stack—from silicon and systems to models, software, and real-world deployment. Our work is read and relied upon by the people allocating capital, building infrastructure, and setting strategy across the industry, giving your research and analysis real, measurable impact.
The environment is built for learning and autonomy. You’ll have the freedom to chase interesting ideas, dig into emerging trends early, and continuously expand your technical and economic toolkit, supported by generous PTO, office stipends, competitive healthcare (medical, dental, vision), and support for conferences and ongoing learning.
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.
Some Of Industry-shaping Articles Are
- InferenceMAX: The world first open inference benchmark that continuous benchmarks performance of popular frontier models
- MI300X vs H100 vs H200 Training: Extensive Benchmarking & Deep Dive into CUDA & ROCm training developer experience & performance
- Trainium2 Architecture & Networking: Deep Dive into Amazon’s new Trainium2 rack scale system & 3D torus scale up topology
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 building & scaling our internal (soon to be open sourced) AI Accelerator Open Source Ecosystem Tracker — a full-stack Next.js application that tracks pull requests, test parity, CI health, and performance benchmarks across all open-source projects in the CUDA/ROCm/Trainium/TPU software ecosystem. You will also play a role in writing and preparing weekly digests & technical reports on upstream contribution health, ROCm/CUDA/Trainium/TPU parity trends, and cross-accelerator benchmark results, with the opportunity for direct authorship recognition.
We are hiring individual contributors at all experience levels. Compensation will be competitive.
As part of the interview process, you'll complete a paid coding challenge designed to reflect typical daily tasks — building full stack interactive apps, designing database schemas for PR metrics, and integrating GitHub API data pipelines.
Qualifications
- Proactive, self-motivated, and capable of working independently in a global team with demonstrated experience in React, Next.js (App Router, Server Components, Server Actions), TypeScript, and SQL (Postgres/Neon).
- Solid understanding of at least 1 of the following: PostgreSQL schema design & query optimization, GitHub API integration & webhook-driven data pipelines, and/or AI accelerator stacks (ROCm, CUDA, HIP, XLA/TPU, PyTorch, JAX, Neuron/Trainium).
- Strong research skills and the ability to synthesize CI test results, parity metrics, and benchmark data across multiple hardware platforms (AMD, NVIDIA, Google TPU, AWS Trainium) to draw actionable insights.
- Interest in learning machine learning, AI, LLM, TPU, GPUs, Trainium, etc.
- Experience with data visualization libraries (Chart.js, D3.js, Recharts), Vercel deployment, GitHub Actions CI/CD, and open-source community engagement is a plus.
At SemiAnalysis, you’re placed directly inside the most important conversations shaping the future of AI and semiconductors. You’ll develop a first-principles understanding of the technical and economic dynamics behind the world’s most consequential technology, with rare end-to-end visibility across the entire stack—from silicon and systems to models, software, and real-world deployment. Our work is read and relied upon by the people allocating capital, building infrastructure, and setting strategy across the industry, giving your research and analysis real, measurable impact.
The environment is built for learning and autonomy. You’ll have the freedom to chase interesting ideas, dig into emerging trends early, and continuously expand your technical and economic toolkit, supported by generous PTO, office stipends, competitive healthcare (medical, dental, vision), and support for conferences and ongoing learning.