# Member of Technical Staff (Hardware) at Artificial Analysis

- Company: Artificial Analysis
- What the company does: Comparison and analysis of AI models and API hosting providers. Independent benchmarks across key performance metrics including quality, price, output speed & latency. Backed by AI Grant.
- Company website: https://artificialanalysis.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco (On-site)
- Work setup: On-site
- Posted: 2026-07-29
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/artificialanalysis/010cf27d-19a4-435a-8a5e-7682195011c6
- Page: https://www.1752.vc/careers/jobs/artificial-analysis-member-of-technical-staff-hardware/

## About the role

AI hardware is where the next decade of AI economics will be decided, and our hardware benchmarks are becoming the reference point for how the industry measures accelerators. We’re hiring into our hardware pillar to drive that coverage: benchmarking the GPUs, TPUs and custom silicon the AI industry runs on, and building the analysis that helps the industry understand them.

## What they're looking for

- You should come from the world of AI accelerators
- • 3+ years of professional experience, including at least 2 years at an AI chip company (e.g. NVIDIA, Cerebras, SambaNova, Groq or similar)
- • Strong analytical and critical thinking skills
- • Proficiency in Python and data analysis
- • Deep familiarity with AI accelerators and the inference software stack (e.g. CUDA, TensorRT, vLLM or similar serving frameworks)
- • Understanding of inference economics: cost-per-token, utilization, and the trade-offs that drive real deployment decisions

Tags: Technical Staff (incl. Product)