Capacity Systems Engineer: AI Compute Planning

OpenAI; San Francisco (CA); Hybrid; USD 125,000 - 228,000; Full time

Job summary

OpenAI is looking for a Capacity Systems Software Engineer in San Francisco to develop platforms for Industrial Compute planning and decision-making. This role aims to enhance decision support across compute resources to drive operational efficiency and business value.

Ideal candidates have over 5 years of experience in software engineering and strong skills in Python, Go, and data systems. The position follows a hybrid work model of three days per week in the office, offering competitive compensation between $125K and $228K.

Qualifications

• 5+ years of experience in software engineering or related technical fields.
• Strong programming experience in Python, Go, Java, TypeScript, or similar languages.
• Experience building distributed systems and backend services.
• Strong ownership mindset and ability to drive complex projects independently.

Responsibilities

• Design and build software systems for Industrial Compute planning and operations.
• Develop backend services, APIs, workflows, and data platforms.
• Create workflow automation and decision-support tools.
• Collaborate with various teams to translate operational workflows into software systems.

Skills

Python

Go

Java

TypeScript

Distributed systems

API design

Data pipelines

Operational tooling

Tools

SQL

Orchestration frameworks

Data warehouses

Analytics platforms

Job description

OpenAI is looking for a Capacity Systems Software Engineer in San Francisco to develop platforms for Industrial Compute planning and decision-making. This role aims to enhance decision support across compute resources to drive operational efficiency and business value.

Ideal candidates have over 5 years of experience in software engineering and strong skills in Python, Go, and data systems. The position follows a hybrid work model of three days per week in the office, offering competitive compensation between $125K and $228K.