The opportunity
OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with research, software, and external hardware partners to shape the next generation of AI systems, from silicon through full-scale deployments.
What you'll do
Build and own a performance modeling framework/toolchain to evaluate AI: systems across multiple levels of abstraction.
Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology.
Develop performance models to guide decisions on: scale-up vs. scale-out architectures
interconnect and network design
memory hierarchy and system balance.
Translate modeling outputs into clear recommendations for internal teams and external hardware vendors.
What they're looking for
- Influence reference designs and vendor roadmaps through data-driven insights.
- Partner closely with machine learning, systems, and hardware teams to: understand workload characteristics and requirements.
- Lead and grow a small team (2–3 engineers), setting technical direction and: maintaining high standards for modeling rigor.
- Continuously improve modeling fidelity by validating against real system behavior and measurements.
