ChatGPT Performance Engineer (AI)

TL;DR

ChatGPT Performance Engineer (AI): Apply deep technical expertise to optimize infrastructure and application-level performance across mission-critical products like ChatGPT and developer API with an accent on latency, throughput, and cost-efficiency. Focus on root-cause analysis, profiling, instrumentation, and architecture-level improvements for high-scale distributed systems.

Location: San Francisco, New York City, Seattle, and Remote - US

Salary: $325K – $405K + Offers Equity

Company

AI research and deployment company bringing technology to the world through products like ChatGPT and hirify.global API, prioritizing safety and responsible use.

What you will do

• Analyze and optimize performance across application, middleware, runtime, and infrastructure layers including networking, storage, Python runtime, and GPU utilization.
• Develop tooling and metrics for deep observability into system performance.
• Collaborate with infra, platform, training, and product teams to identify goals and drive improvements.
• Influence architecture and design decisions prioritizing latency, throughput, and efficiency at scale.
• Lead investigations into performance regressions or scalability issues in production.
• Drive performance testing strategies and define SLAs/SLOs for critical systems.

Requirements

• 7+ years in software engineering with track record in performance or reliability of high-scale distributed systems
• Deep comfort with performance profiling tools and tracing systems
• Experience optimizing across stack layers like database, networking, storage, application runtime, GC tuning, Python/Golang internals, GPU utilization
• Strong understanding of OS internals, scheduling, memory management, and IO patterns
• Contributions to observability, benchmarking, or performance infrastructure at scale
• Success navigating ambiguity and aligning stakeholders around performance goals

Culture & Benefits

• Thrive in ambiguous environments valuing deep systems understanding and measurable impact.
• Highly technical individual contributor role emphasizing simplicity, rigor, and collaboration.
• Equal opportunity employer committed to diversity and reasonable accommodations for disabilities.
• Background checks in accordance with US laws including Fair Chance Ordinances for SF, LA County, and California.