Member of Technical Staff (Hardware) in Tipton

Location: San Francisco (on-site at our offices)

About Artificial Analysis

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. 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 industry leaders.

The Opportunity

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.

You’ll design and run performance benchmarks across accelerators and inference configurations, extend our hardware benchmarking stack, build cost and throughput models, and work directly with the leading chipmakers to benchmark their latest silicon. This is a technical, hands-on role at the intersection of silicon and AI.

What You’ll Do

• Benchmark AI Accelerators: Design and execute performance benchmarking across GPUs, TPUs and custom inference silicon, measuring throughput, latency and price-performance.
• Build Evaluation Methodology: Develop and maintain the frameworks that define how AI hardware performance and efficiency are measured.
• Analyze Inference Economics: Understand how cost-per-token, utilization and hardware choice interact, and translate that into analysis for deployment and procurement decisions.
• Partner with Chipmakers: Work with top hardware companies in the world, benchmarking their latest silicon and shaping methodology together.
• Drive Strategic Analysis: Produce reports and data visualizations that communicate hardware performance and economics.
• Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to maintain our competitive edge in AI benchmarking.

What We’re Looking For

You should come from the world of AI accelerators. Backgrounds include engineering, product, performance or technical roles at AI accelerator and inference hardware companies.

Required:

• 3+ years of professional experience, including at least 2 years at an AI chip company.
• Strong analytical and critical thinking skills.
• Proficiency in Python and data analysis.
• Deep familiarity with AI accelerators and the inference software stack.
• Understanding of inference economics: cost-per-token, utilization, and trade-offs that drive real deployment decisions.
• Genuine interest and knowledge of Frontier AI.

Why Artificial Analysis?

• Shape how AI gets built: Your work will directly influence the direction of AI.
• Become a world expert in AI: You will evaluate every major model as they are released.
• Work with the most important players in AI: Manage relationships with teams at leading AI labs and major enterprises.
• Join at a defining moment: The people who join now will shape the product, the team, and the strategy as we scale.

Competitive compensation including equity.