Performance & Systems Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Performance & Systems Engineer (AI): Optimizing the whole-system stack for Codex AI agents, including LLM inference and cloud orchestration, with an accent on reducing latency and serving costs. Focus on identifying performance bottlenecks, building profiling tools, and landing high-leverage infrastructure changes.
Location: Hybrid (3 days in office), San Francisco, CA. Relocation assistance provided.
Salary: $295,000 – $445,000 + Equity
Company
is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
What you will do
- Hunt down and resolve inefficiencies across the Codex system stack, from agent behavior to LLM inference and container orchestration.
- Build tooling to measure, profile, and optimize system performance at scale.
- Collaborate with researchers and engineers to land high-ROI changes that improve latency and cost.
- Manage whole-system optimization across complex, evolving infrastructure and product layers.
Requirements
- Experience operating across both ML systems and cloud infrastructure.
- Ability to navigate messy, ambiguous problems and drive them to clear resolution.
- Holistic approach to performance, balancing speed, cost, and user experience.
- Must be based in or be able to relocate to San Francisco, CA.
Culture & Benefits
- Hybrid work model with 3 days in the office per week.
- Relocation assistance for new employees.
- Equity compensation packages.
- Direct impact on products used by millions of users, such as ChatGPT and the API.
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