3 months ago

ChatGPT Performance Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

OpenAI seeks an experienced Performance Engineer to optimize the performance, reliability, and efficiency of core systems powering ChatGPT and the OpenAI API. You will perform root-cause analysis, profiling, and architecture-level improvements across a large-scale distributed stack, collaborating with infra, platform, training, and product teams to push latency, throughput, and cost-efficiency to the next level.

Location: San Francisco, New York

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Analyze and optimize performance across application, middleware, runtime, and infrastructure layers—networking, storage, Python runtime, GPU utilization, and beyond.
•Develop tooling and metrics that provide deep observability into system performance.
•Collaborate closely with infra, platform, training, and product teams to identify key performance goals and drive systemic improvements.
•Influence architecture and design decisions to prioritize latency, throughput, and efficiency at scale.
•Lead investigations into high-impact performance regressions or scalability issues in production.

Pay and Benefits

Salary: USD 325,000 - 405,000 annually

Equity and Bonus:Equity

Key Requirements

•7+ years of experience in software engineering with a strong track record in performance or reliability of high-scale distributed systems.
•Deep experience with performance profiling tools and tracing systems.
•Experience optimizing performance across stack layers (e.g., database, networking, storage, application runtime, GC tuning, Python/Golang internals, GPU utilization).
•Strong understanding of OS internals, scheduling, memory management, and IO patterns.
•Contributed to observability, benchmarking, or performance-focused infrastructure at scale.

Experience:High-scale distributed systemsObservabilityInfrastructurePerformance

Skills:Problem-solvingCollaborationCommunicationAnalytical

Tech Stack:PythonGPU utilizationProfiling toolsTracing systemsOS internalsGC tuning

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: 4.4

Website LinkedIn Glassdoor

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OpenAI

3 months ago

ChatGPT Performance Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Location: San Francisco, New York

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Analyze and optimize performance across application, middleware, runtime, and infrastructure layers—networking, storage, Python runtime, GPU utilization, and beyond.
•Develop tooling and metrics that provide deep observability into system performance.
•Collaborate closely with infra, platform, training, and product teams to identify key performance goals and drive systemic improvements.
•Influence architecture and design decisions to prioritize latency, throughput, and efficiency at scale.
•Lead investigations into high-impact performance regressions or scalability issues in production.

Pay and Benefits

Salary: USD 325,000 - 405,000 annually

Equity and Bonus:Equity

Key Requirements

•7+ years of experience in software engineering with a strong track record in performance or reliability of high-scale distributed systems.
•Deep experience with performance profiling tools and tracing systems.
•Experience optimizing performance across stack layers (e.g., database, networking, storage, application runtime, GC tuning, Python/Golang internals, GPU utilization).
•Strong understanding of OS internals, scheduling, memory management, and IO patterns.
•Contributed to observability, benchmarking, or performance-focused infrastructure at scale.

Experience:High-scale distributed systemsObservabilityInfrastructurePerformance

Skills:Problem-solvingCollaborationCommunicationAnalytical

Tech Stack:PythonGPU utilizationProfiling toolsTracing systemsOS internalsGC tuning

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: 4.4

Website LinkedIn Glassdoor