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.
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
More about this role
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don’t just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai , Amazon), Adam D’Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
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...
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