Artificial Analysis, Inc.
Member of Technical Staff (Hardware)
San Francisco (On-site) · Staff+
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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.
Responsibilities
- Benchmark AI Accelerators: Design and execute performance benchmarking across GPUs, TPUs and custom inference silicon, measuring throughput, latency and price-performance the way the industry actually deploys
- Build Evaluation Methodology: Develop and maintain the frameworks that define how AI hardware performance and efficiency are measured, extending products like AA-AgentPerf, from tokens per second and time-to-first-token to total cost of ownership
- Partner with Chipmakers: Work with the top hardware companies in the world, from NVIDIA, AMD and Google to the leading new accelerator companies, at a deep technical level: benchmarking their latest silicon, shaping methodology together, and setting the standards the industry measures by
- Drive Strategic Analysis: Produce reports and data visualizations that communicate hardware performance and economics to technical and non-technical audiences
- Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking
Requirements
- 3+ years of professional experience, including at least 2 years at an AI chip company (e.g. NVIDIA, Cerebras, SambaNova, Groq or similar)
- Proficiency in Python and data analysis
- Genuine, demonstrable interest and knowledge of Frontier AI.
Compensation
- Competitive compensation including equity
Company info
- We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers.
- What We're Looking For
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