AI & Machine LearningDirect Ashby career site

Full Stack Engineer, Fleet Scheduling

Location: San Francisco, CA · Hybrid
Job type: Full-time
Level: Senior
Listed: 30 days ago

Skills & highlights for this role

full-stack web development
real-time monitoring dashboards
backend performance optimization

About the Role

You will design, develop, and operate web-based systems that provide a powerful and intuitive interface to OpenAI’s supercomputing clusters. You will collaborate closely with researcher, product and infrastructure teams to deliver scalable solutions that enable seamless monitoring, job scheduling, and resource management. This is an opportunity to work at the cutting edge of AI infrastructure, designing tools that scale to exascale workloads while maintaining usability and performance.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will

Design and develop full-stack web applications to track, monitor, and manage large-scale AI workloads in real time.
Collaborate with researchers and infrastructure teams to translate complex operational needs into intuitive UIs and scalable backends.
Build data visualization tools (e.g., Gantt charts, dashboards) to provide insights into job scheduling and resource allocation.
Optimize backend services to handle massive data throughput while ensuring low-latency performance and high availability.
Implement frontend components that provide seamless interactions with scheduling, storage, and compute systems.
Ensure system security, reliability, and scalability across globally distributed supercomputing infrastructure.

You might thrive in this role if you

Significant experience in full-stack development, with expertise in modern frontend frameworks (React, Vue, or Angular) and backend technologies (Python, Go, or Node.js).
Experienced in building scalable, high-performance web applications for complex distributed systems.
Strong understanding of RESTful and GraphQL APIs, distributed databases, and cloud infrastructure (especially Azure).
Execution-focused with a keen eye for usability, performance, and scalability in enterprise-scale systems.
Comfortable working in fast-paced, highly collaborative environments with tight timelines and evolving priorities.

Bonus points if you

Have experience working with Kubernetes, Docker, and cloud-native application deployment.
Understand AI/ML workload scheduling and orchestration challenges.
Have experience with real-time data processing, visualization libraries, and observability tooling.

About the Team

Full Stack engineers within the Fleet Scheduling team are dedicated to building intuitive and scalable interfaces that empower researchers to efficiently manage AI workloads across some of the largest supercomputers in the world. Our focus is on developing robust, high-performance systems that provide real-time insights, resource tracking, and seamless interaction with complex infrastructure. We aim to optimize resource allocation, minimize operational overhead, and create user-friendly tools that enhance researcher productivity and system transparency.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form No response will be provided to inquiries unrelated to job posting compliance.

Equal opportunity and legal notices

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates.

For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information.

In addition, job duties require access to secure and protected information technology systems and related data security obligations.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link

Read the original posting

From OpenAI's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

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Common questions

Where is the Full Stack Engineer, Fleet Scheduling job at OpenAI located?

This Full Stack Engineer, Fleet Scheduling position at OpenAI is located in San Francisco, CA (Hybrid). Always check OpenAI's application page for specific state eligibility or relocation policies.

What qualifications are required for Full Stack Engineer, Fleet Scheduling at OpenAI?

For the Full Stack Engineer, Fleet Scheduling role, OpenAI highlights experience with full-stack web development, real-time monitoring dashboards, backend performance optimization. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Full Stack Engineer, Fleet Scheduling position at OpenAI?

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