Artificial Analysis, Inc.
Product Manager (AI Hardware)
San Francisco (On-site)
Sponsorship not specifiedDetected 41 days ago
PythonGitMachine LearningTensorFlowPyTorchPandasNumPyData AnalysisData ScienceLLMsProduct StrategyProcurementCommunicationCritical ThinkingWriting
About the role
- We're hiring for a Product Manager focused on AI hardware - the inference chips and accelerators that the entire AI industry runs on (GPUs, TPUs, and the growing wave of custom silicon).
Responsibilities
- Product Development for Hardware AI Benchmarking: Contribute to AI hardware product strategy and help execute the roadmap for our accelerator evaluation platforms, covering GPUs, TPUs, custom inference silicon, and emerging architectures - including working with engineers on our team to develop features and potentially coding features yourself
- Curate and Develop Hardware Evaluation Frameworks: Build and maintain comprehensive benchmarking methodologies that measure throughput, latency (e.g. tokens per second, time-to-first-token), and price-performance across accelerators and inference configurations, reflecting how the industry actually deploys models in production today and how it will in the coming months and years
- Strategic Marketing Support and Community Engagement: Help amplify the impact of our hardware benchmarks, collaborating with our team to maximize impact of our content across platforms and audiences
- Become AI-Native: Embrace an AI-native workflow, using the latest AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking
Requirements
- Experience with GPU/accelerator performance benchmarking, characterization, or systems performance engineering
- Experience in strategy consulting
- Familiarity with the inference software stack (e.g. CUDA, TensorRT, vLLM, or similar serving frameworks) and how it interacts with underlying hardware
- Experience working in software engineering or data science
- Proficiency in Python and data analysis libraries (e.g. pandas, numpy, matplotlib)
- experience with AI/ML frameworks (e.g. PyTorch, TensorFlow)
Compensation
- Competitive compensation including equity
Benefits
- Competitive compensation including equity
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