6 months ago
Base Salary
$347k - $445k/yr
Responsibilities
- Analyze and optimize performance across application, middleware, runtime, and infrastructure layers.
- Develop tooling and metrics that provide deep observability into system performance.
- Collaborate with infrastructure, platform, training, and product teams to identify performance goals and drive systemic improvements.
- Influence architecture and design decisions focused on latency, throughput, and efficiency at scale.
- Lead investigations into high-impact production performance regressions and scalability issues.
- Drive performance testing strategies and help define latency and throughput SLAs and SLOs.
Requirements
- 7+ years of software engineering experience with a strong track record in performance or reliability of high-scale distributed systems.
- Deep familiarity with performance profiling tools and tracing systems.
- Experience optimizing databases, networking, storage, application runtimes, garbage collection, Python or Go internals, or GPU utilization.
- Strong understanding of operating-system internals, scheduling, memory management, and I/O patterns.
- Experience contributing to observability, benchmarking, or performance-focused infrastructure at scale.
- Demonstrated ability to navigate ambiguity and align stakeholders around performance goals.
- Values simplicity, rigor, and collaboration when solving complex systems problems.
Benefits
- OpenAI is an equal opportunity employer committed to reasonable accommodations and inclusive hiring.
- Background checks and employment practices are administered in accordance with applicable law.
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.