Full Stack Engineer, Fleet Scheduling

Slope; San Francisco (CA); On-site; USD 325,000 - 490,000; Full time

Job summary

An innovative firm is seeking a Full Stack Engineer to join their Fleet Scheduling team. This role involves designing and developing web-based systems that enhance the management of AI workloads across powerful supercomputers. You'll collaborate with researchers and product teams to create user-friendly interfaces and scalable solutions that ensure efficient resource allocation and system transparency. This is a unique opportunity to work at the forefront of AI infrastructure, contributing to tools that handle exascale workloads while maintaining high usability and performance. If you're passionate about technology and eager to make an impact, this role is for you.

Qualifications

• Significant experience in full-stack development with modern frontend frameworks.
• Strong understanding of RESTful and GraphQL APIs and distributed databases.

Responsibilities

• Design and develop full-stack web applications for AI workload management.
• Collaborate with teams to create intuitive UIs and scalable backends.
• Build data visualization tools for insights into job scheduling.

Skills

Full-stack development

Frontend frameworks (React, Vue, Angular)

Backend technologies (Python, Go, Node.js)

RESTful and GraphQL APIs

Distributed databases

Cloud infrastructure (Azure)

Usability and performance optimization

Data visualization

Tools

Kubernetes

Docker

Real-time data processing tools

Visualization libraries

Observability tooling

Job description

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 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 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.

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

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

OpenAI Global Applicant Privacy Policy

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.

Compensation Range: $325K - $490K