Artificial Analysis is seeking a Product Manager for AI hardware benchmarking. Location: San Francisco, California, United States – on-site at our offices.
About Artificial Analysis: We are the leading independent AI benchmarking company. We help labs, engineers and enterprises understand AI capabilities and make critical decisions about AI strategies. Our benchmarks are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs, major enterprises, and prominent publications.
Artificial Analysis is seeking a Product Manager for AI hardware benchmarking. Location: San Francisco, California, United States – on-site at our offices.
About Artificial Analysis: We are the leading independent AI benchmarking company. We help labs, engineers and enterprises understand AI capabilities and make critical decisions about AI strategies. Our benchmarks are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs, major enterprises, and prominent publications.
The Opportunity: AI hardware will drive the next decade of AI economics. We are expanding our hardware pillar to benchmark GPUs, TPUs and custom silicon, and to build the analyses that help the industry understand them. You’ll design and run performance benchmarks across accelerators and inference configurations, extend our benchmarking stack (including AA-AgentPerf) and our performance benchmarking suite, build cost and throughput models, and work directly with leading chipmakers to benchmark their latest silicon.
What You’ll Do: Design and execute benchmarks across AI accelerators (GPUs, TPUs, and custom inference silicon) measuring throughput, latency and price-performance; develop and maintain evaluation methodologies to define how AI hardware performance and efficiency are measured; analyze inference economics (cost-per-token, utilization) and translate insights into deployment and procurement guidance; collaborate with chipmakers such as NVIDIA, AMD and Google to benchmark their latest silicon, shape methodology together, and set industry standards; produce repor
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The Opportunity: AI hardware will drive the next decade of AI economics. We are expanding our hardware pillar to benchmark GPUs, TPUs and custom silicon, and to build the analyses that help the industry understand them. You’ll design and run performance benchmarks across accelerators and inference configurations, extend our benchmarking stack (including AA-AgentPerf) and our performance benchmarking suite, build cost and throughput models, and work directly with leading chipmakers to benchmark their latest silicon.
What You’ll Do: Design and execute benchmarks across AI accelerators (GPUs, TPUs, and custom inference silicon) measuring throughput, latency and price-performance; develop and maintain evaluation methodologies to define how AI hardware performance and efficiency are measured; analyze inference economics (cost-per-token, utilization) and translate insights into deployment and procurement guidance; collaborate with chipmakers such as NVIDIA, AMD and Google to benchmark their latest silicon, shape methodology together, and set industry standards; produce repor
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Based on: Product Manager
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