Performance Modeling Lead

OpenAI
San Francisco
Workplace: HybridFull timeUSD 342,000 - 555,000 annuallyFunction: Administration & Executive AssistanceSkills: ["Communication","Leadership","Problem-solving"]

Lead a small, high-impact team focused on building performance modeling frameworks for AI infrastructure. You will evaluate system-level tradeoffs across compute, memory, networking, and storage, influence reference designs and vendor roadmaps, and translate complex analyses into actionable guidance for AI hardware and software teams.

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FursaFursa
OpenAI
OpenAI
3 months ago

Performance Modeling Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Lead a small, high-impact team focused on building performance modeling frameworks for AI infrastructure. You will evaluate system-level tradeoffs across compute, memory, networking, and storage, influence reference designs and vendor roadmaps, and translate complex analyses into actionable guidance for AI hardware and software teams.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Manager level

Key Responsibilities

  • •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, and memory hierarchy.
  • •Translate modeling outputs into clear recommendations for internal teams and external hardware vendors.
  • •Lead and grow a small team (2–3 engineers), setting technical direction and maintaining high standards for modeling rigor.

Pay and Benefits

Salary: USD 342,000 - 555,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Experience owning or building performance modeling frameworks used to drive real system design decisions.
  • •Deep knowledge of AI/ML workloads, including training and/or inference at scale.
  • •Understand system-level tradeoffs across compute, memory, and networking in large-scale distributed systems.
  • •Comfortable working across abstraction layers—from workload behavior to hardware implementation.
  • •Experience using modeling (analytical or simulation) to inform architectural decisions.
Experience:AI/MLHardwareDistributed systemsData centerInfrastructure
Skills:CommunicationLeadershipProblem-solving
Languages:English
Tech Stack:NVLinkInfiniBandEthernetGPUsASICsModelingSimulation

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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