Hardware Performance Engineer — AI Accelerators (Equity)

Artificial Analysis, Inc.; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equity

Competitive compensation

Job summary

Artificial Analysis, Inc. is hiring a Member of Technical Staff (Hardware) in San Francisco to design and run performance benchmarks across GPUs, TPUs and custom silicon. You will extend our benchmarking stack, build cost and throughput models, and work directly with leading chipmakers to benchmark their latest silicon.

This is a hands-on, technical role at the intersection of silicon and AI. You’ll develop methodologies, analyze throughput and cost-per-token, and deliver data visualizations

Qualifications

• 3+ years of professional experience, including at least 2 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 and Frontier AI.

Responsibilities

• Benchmark AI Accelerators: design and execute benchmarking across GPUs, TPUs and custom silicon.
• Build Evaluation Methodology: maintain frameworks to measure performance and efficiency.
• Analyze Inference Economics: analyze cost-per-token and hardware interaction.
• Partner with Chipmakers: work with leading companies to benchmark and shape methodology.
• Drive Strategic Analysis: produce reports and visualizations for technical and non-technical audiences.
• Become AI-Native: adopt AI tools to maintain competitive edge.

Skills

Python programming

Data analysis

Analytical thinking

AI hardware knowledge

Frontier AI awareness

Education

Bachelor's degree in a relevant field

Tools

CUDA

TensorRT

vLLM

Job description

Artificial Analysis, Inc. is hiring a Member of Technical Staff (Hardware) in San Francisco to design and run performance benchmarks across GPUs, TPUs and custom silicon. You will extend our benchmarking stack, build cost and throughput models, and work directly with leading chipmakers to benchmark their latest silicon.

This is a hands-on, technical role at the intersection of silicon and AI. You’ll develop methodologies, analyze throughput and cost-per-token, and deliver data visualizations