Resume and JobRESUME AND JOB
OpenAI logo

Full Stack Engineer, Fleet Scheduling Careers at OpenAI - San Francisco, CA | Apply Now!

OpenAI

Full Stack Engineer, Fleet Scheduling Careers at OpenAI - San Francisco, CA | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Full Stack Engineer, Fleet Scheduling at OpenAI - San Francisco, CA

Join OpenAI's Fleet Scheduling team as a Full Stack Engineer and build the future of AI infrastructure. Work on cutting-edge web applications that manage exascale AI workloads across the world's largest supercomputers. This senior-level role offers the chance to create intuitive interfaces that empower researchers and optimize resource allocation at unprecedented scale.

Role Overview

The Full Stack Engineer, Fleet Scheduling position at OpenAI represents a unique opportunity to work at the intersection of web development, distributed systems, and artificial intelligence. Based in San Francisco, California, you'll design, develop, and operate sophisticated web-based systems that provide real-time visibility and control over OpenAI's massive supercomputing infrastructure.

Your work will directly impact researchers running complex AI experiments by delivering tools that simplify job scheduling, resource tracking, and performance monitoring. This hybrid role (3 days in office per week) combines frontend expertise with backend scalability to create seamless user experiences for enterprise-scale AI operations.

Key focus areas include building data visualization dashboards, Gantt charts for job scheduling, and APIs that handle massive data throughput while maintaining sub-second latency. You'll collaborate with cross-functional teams including AI researchers, infrastructure engineers, and product managers to translate complex technical requirements into production-ready solutions.

Key Responsibilities

As a Full Stack Engineer on the Fleet Scheduling team, your responsibilities will span the entire development lifecycle:

  • Architect and implement full-stack web applications for real-time AI workload monitoring and management
  • Develop interactive data visualizations including Gantt charts, heatmaps, and resource utilization dashboards
  • Build scalable backend services using Python, Go, or Node.js to process petabytes of scheduling data
  • Create RESTful and GraphQL APIs that power seamless frontend interactions with supercomputing infrastructure
  • Optimize systems for high availability, fault tolerance, and low-latency performance at exascale
  • Collaborate with researchers to understand AI workload patterns and design intuitive scheduling interfaces
  • Deploy containerized applications using Kubernetes and Docker on Azure cloud infrastructure
  • Implement security best practices and compliance requirements for sensitive research data
  • Monitor production systems with observability tooling and create alerting for operational issues
  • Conduct performance profiling and capacity planning for growing compute demands
  • Participate in on-call rotation to ensure 24/7 system reliability
  • Mentor junior engineers and contribute to team technical standards and best practices

These responsibilities require strong execution focus and the ability to deliver reliable systems under tight timelines in a fast-paced research environment.

Qualifications

We're looking for experienced full stack engineers who thrive in complex, high-stakes environments:

  • 5+ years of professional full-stack development experience
  • Deep expertise in modern frontend frameworks (React, Vue.js, Angular)
  • Strong backend development skills in Python, Go, or Node.js
  • Proven experience building scalable web applications for distributed systems
  • Expertise in REST APIs, GraphQL, and microservices architecture
  • Hands-on experience with cloud platforms, especially Microsoft Azure
  • Experience with container orchestration (Kubernetes) and containerization (Docker)
  • Familiarity with distributed databases and real-time data processing
  • Strong understanding of web performance optimization and scalability patterns
  • Excellent collaboration skills and experience working with cross-functional teams
  • Bonus: Experience with AI/ML infrastructure, job scheduling systems, or HPC environments

Salary & Benefits

OpenAI offers competitive compensation for senior Full Stack Engineers in San Francisco, typically ranging from $220,000 - $350,000 base salary plus equity and bonuses. Total compensation often exceeds $500K for top performers.

Comprehensive benefits package includes:

  • Health, dental, vision insurance with 100% premium coverage
  • 401(k) with 5% employer match
  • Unlimited PTO and flexible hybrid work schedule
  • Relocation assistance up to $15,000
  • Generous parental leave (20 weeks)
  • Professional development budget ($5,000/year)
  • Daily catered meals and fully stocked kitchens
  • Commuter benefits and gym reimbursements

This package positions OpenAI as a top employer for software engineers in the Bay Area.

Why Join OpenAI?

OpenAI is at the forefront of artificial intelligence research and deployment, powering breakthroughs that will shape humanity's future. As a Full Stack Engineer on the Fleet Scheduling team, you'll:

  • Work on systems that manage the world's largest AI supercomputers
  • Collaborate with leading AI researchers and infrastructure experts
  • Ship products used by thousands of researchers daily
  • Receive equity in a company valued at tens of billions
  • Enjoy San Francisco's vibrant tech ecosystem with hybrid flexibility

OpenAI's mission-driven culture emphasizes safety, rapid iteration, and diverse perspectives. You'll join a team that's not just building software, but enabling the next generation of artificial general intelligence.

How to Apply

Ready to build the infrastructure powering tomorrow's AI? Submit your application including:

  • Resume highlighting relevant full-stack and distributed systems experience
  • GitHub portfolio or links to production web applications you've built
  • Optional: Cover letter explaining your interest in AI infrastructure

The interview process includes technical screens, system design, and team collaboration exercises. OpenAI is an equal opportunity employer committed to diversity.

Apply now and help power the future of AI research!

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangehigh confidence

231,000 - 385,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Full Stack Developmentintermediate
  • React.jsintermediate
  • Vue.jsintermediate
  • Angularintermediate
  • Pythonintermediate
  • Gointermediate
  • Node.jsintermediate
  • RESTful APIsintermediate
  • GraphQLintermediate
  • Kubernetesintermediate
  • Dockerintermediate
  • Azure Cloudintermediate
  • Distributed Systemsintermediate
  • Data Visualizationintermediate
  • Real-time Data Processingintermediate
  • Gantt Chartsintermediate
  • Dashboardsintermediate
  • Microservicesintermediate
  • Observability Toolsintermediate
  • AI Workload Managementintermediate
  • Job Schedulingintermediate
  • Resource Allocationintermediate

Required Qualifications

  • 5+ years of full-stack development experience with modern frontend frameworks like React, Vue, or Angular (experience)
  • Proficiency in backend technologies including Python, Go, or Node.js for building scalable services (experience)
  • Strong experience developing high-performance web applications for distributed systems (experience)
  • Deep understanding of RESTful APIs, GraphQL, and API design best practices (experience)
  • Hands-on experience with distributed databases such as PostgreSQL, Cassandra, or MongoDB (experience)
  • Expertise in cloud infrastructure, particularly Microsoft Azure services (experience)
  • Proven track record of optimizing systems for low-latency performance and high availability (experience)
  • Experience building data visualization tools including dashboards and Gantt charts (experience)
  • Comfortable working in fast-paced environments with tight deadlines and changing priorities (experience)
  • Strong problem-solving skills with a focus on usability, performance, and scalability (experience)
  • Familiarity with containerization technologies like Docker and orchestration with Kubernetes (experience)
  • Knowledge of AI/ML workload scheduling, resource management, and orchestration challenges (experience)
  • Experience with real-time data processing pipelines and streaming technologies (experience)

Responsibilities

  • Design and develop full-stack web applications for real-time tracking and monitoring of large-scale AI workloads
  • Collaborate with researchers, product managers, and infrastructure teams to understand complex operational requirements
  • Build intuitive user interfaces that translate technical scheduling needs into accessible tools
  • Create advanced data visualization components including Gantt charts, resource utilization dashboards, and performance metrics
  • Develop and optimize backend services to handle massive data throughput from supercomputing clusters
  • Implement scalable APIs using REST and GraphQL for seamless frontend-backend communication
  • Ensure low-latency performance and high availability across globally distributed infrastructure
  • Integrate frontend components with scheduling systems, storage solutions, and compute resources
  • Design systems for security, reliability, and fault tolerance in enterprise-scale environments
  • Deploy and manage applications using Kubernetes, Docker, and cloud-native practices
  • Monitor and troubleshoot production systems using observability tooling and logging
  • Continuously improve system performance through profiling, optimization, and capacity planning
  • Participate in code reviews, architecture discussions, and technical planning sessions
  • Document APIs, systems architecture, and operational procedures for team knowledge sharing

Benefits

  • general: Competitive salary with equity package and performance bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: 401(k) retirement plan with generous company matching
  • general: Relocation assistance package for new employees moving to San Francisco
  • general: Hybrid work model with 3 days in office per week and flexible remote options
  • general: Unlimited PTO policy with encouraged time off for recharge
  • general: Generous parental leave policy for primary and secondary caregivers
  • general: Professional development stipend for conferences, courses, and certifications
  • general: Fully stocked office with gourmet meals, snacks, and beverages
  • general: Mental health support through counseling services and wellness programs
  • general: Gym membership reimbursement and onsite fitness facilities
  • general: Commuter benefits including public transit and parking subsidies
  • general: Employee referral bonuses and internal mobility opportunities
  • general: Volunteer time off program with paid days for community service

Target Your Resume for "Full Stack Engineer, Fleet Scheduling Careers at OpenAI - San Francisco, CA | Apply Now!" , OpenAI

Get personalized recommendations to optimize your resume specifically for Full Stack Engineer, Fleet Scheduling Careers at OpenAI - San Francisco, CA | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Full Stack Engineer, Fleet Scheduling Careers at OpenAI - San Francisco, CA | Apply Now!" , OpenAI

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Full Stack Engineer OpenAIFleet Scheduling Engineer jobsAI infrastructure engineer San FranciscoReact developer OpenAI careersKubernetes engineer AI companyPython backend developer jobsSupercomputer scheduling software engineerDistributed systems engineer OpenAIAzure cloud developer careersReal-time data visualization engineerGantt chart developer AISenior full stack jobs San FranciscoAI workload management engineerGraphQL API developer OpenAIExascale computing software engineerResearch infrastructure developerHybrid full stack engineer Bay AreaOpenAI engineering careersResource allocation software engineerHPC job scheduling developerOpenAI San Francisco jobsAI supercomputer engineerScaling

Answer 10 quick questions to check your fit for Full Stack Engineer, Fleet Scheduling Careers at OpenAI - San Francisco, CA | Apply Now! @ OpenAI.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.

OpenAI logo

Full Stack Engineer, Fleet Scheduling Careers at OpenAI - San Francisco, CA | Apply Now!

OpenAI

Full Stack Engineer, Fleet Scheduling Careers at OpenAI - San Francisco, CA | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Full Stack Engineer, Fleet Scheduling at OpenAI - San Francisco, CA

Join OpenAI's Fleet Scheduling team as a Full Stack Engineer and build the future of AI infrastructure. Work on cutting-edge web applications that manage exascale AI workloads across the world's largest supercomputers. This senior-level role offers the chance to create intuitive interfaces that empower researchers and optimize resource allocation at unprecedented scale.

Role Overview

The Full Stack Engineer, Fleet Scheduling position at OpenAI represents a unique opportunity to work at the intersection of web development, distributed systems, and artificial intelligence. Based in San Francisco, California, you'll design, develop, and operate sophisticated web-based systems that provide real-time visibility and control over OpenAI's massive supercomputing infrastructure.

Your work will directly impact researchers running complex AI experiments by delivering tools that simplify job scheduling, resource tracking, and performance monitoring. This hybrid role (3 days in office per week) combines frontend expertise with backend scalability to create seamless user experiences for enterprise-scale AI operations.

Key focus areas include building data visualization dashboards, Gantt charts for job scheduling, and APIs that handle massive data throughput while maintaining sub-second latency. You'll collaborate with cross-functional teams including AI researchers, infrastructure engineers, and product managers to translate complex technical requirements into production-ready solutions.

Key Responsibilities

As a Full Stack Engineer on the Fleet Scheduling team, your responsibilities will span the entire development lifecycle:

  • Architect and implement full-stack web applications for real-time AI workload monitoring and management
  • Develop interactive data visualizations including Gantt charts, heatmaps, and resource utilization dashboards
  • Build scalable backend services using Python, Go, or Node.js to process petabytes of scheduling data
  • Create RESTful and GraphQL APIs that power seamless frontend interactions with supercomputing infrastructure
  • Optimize systems for high availability, fault tolerance, and low-latency performance at exascale
  • Collaborate with researchers to understand AI workload patterns and design intuitive scheduling interfaces
  • Deploy containerized applications using Kubernetes and Docker on Azure cloud infrastructure
  • Implement security best practices and compliance requirements for sensitive research data
  • Monitor production systems with observability tooling and create alerting for operational issues
  • Conduct performance profiling and capacity planning for growing compute demands
  • Participate in on-call rotation to ensure 24/7 system reliability
  • Mentor junior engineers and contribute to team technical standards and best practices

These responsibilities require strong execution focus and the ability to deliver reliable systems under tight timelines in a fast-paced research environment.

Qualifications

We're looking for experienced full stack engineers who thrive in complex, high-stakes environments:

  • 5+ years of professional full-stack development experience
  • Deep expertise in modern frontend frameworks (React, Vue.js, Angular)
  • Strong backend development skills in Python, Go, or Node.js
  • Proven experience building scalable web applications for distributed systems
  • Expertise in REST APIs, GraphQL, and microservices architecture
  • Hands-on experience with cloud platforms, especially Microsoft Azure
  • Experience with container orchestration (Kubernetes) and containerization (Docker)
  • Familiarity with distributed databases and real-time data processing
  • Strong understanding of web performance optimization and scalability patterns
  • Excellent collaboration skills and experience working with cross-functional teams
  • Bonus: Experience with AI/ML infrastructure, job scheduling systems, or HPC environments

Salary & Benefits

OpenAI offers competitive compensation for senior Full Stack Engineers in San Francisco, typically ranging from $220,000 - $350,000 base salary plus equity and bonuses. Total compensation often exceeds $500K for top performers.

Comprehensive benefits package includes:

  • Health, dental, vision insurance with 100% premium coverage
  • 401(k) with 5% employer match
  • Unlimited PTO and flexible hybrid work schedule
  • Relocation assistance up to $15,000
  • Generous parental leave (20 weeks)
  • Professional development budget ($5,000/year)
  • Daily catered meals and fully stocked kitchens
  • Commuter benefits and gym reimbursements

This package positions OpenAI as a top employer for software engineers in the Bay Area.

Why Join OpenAI?

OpenAI is at the forefront of artificial intelligence research and deployment, powering breakthroughs that will shape humanity's future. As a Full Stack Engineer on the Fleet Scheduling team, you'll:

  • Work on systems that manage the world's largest AI supercomputers
  • Collaborate with leading AI researchers and infrastructure experts
  • Ship products used by thousands of researchers daily
  • Receive equity in a company valued at tens of billions
  • Enjoy San Francisco's vibrant tech ecosystem with hybrid flexibility

OpenAI's mission-driven culture emphasizes safety, rapid iteration, and diverse perspectives. You'll join a team that's not just building software, but enabling the next generation of artificial general intelligence.

How to Apply

Ready to build the infrastructure powering tomorrow's AI? Submit your application including:

  • Resume highlighting relevant full-stack and distributed systems experience
  • GitHub portfolio or links to production web applications you've built
  • Optional: Cover letter explaining your interest in AI infrastructure

The interview process includes technical screens, system design, and team collaboration exercises. OpenAI is an equal opportunity employer committed to diversity.

Apply now and help power the future of AI research!

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangehigh confidence

231,000 - 385,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Full Stack Developmentintermediate
  • React.jsintermediate
  • Vue.jsintermediate
  • Angularintermediate
  • Pythonintermediate
  • Gointermediate
  • Node.jsintermediate
  • RESTful APIsintermediate
  • GraphQLintermediate
  • Kubernetesintermediate
  • Dockerintermediate
  • Azure Cloudintermediate
  • Distributed Systemsintermediate
  • Data Visualizationintermediate
  • Real-time Data Processingintermediate
  • Gantt Chartsintermediate
  • Dashboardsintermediate
  • Microservicesintermediate
  • Observability Toolsintermediate
  • AI Workload Managementintermediate
  • Job Schedulingintermediate
  • Resource Allocationintermediate

Required Qualifications

  • 5+ years of full-stack development experience with modern frontend frameworks like React, Vue, or Angular (experience)
  • Proficiency in backend technologies including Python, Go, or Node.js for building scalable services (experience)
  • Strong experience developing high-performance web applications for distributed systems (experience)
  • Deep understanding of RESTful APIs, GraphQL, and API design best practices (experience)
  • Hands-on experience with distributed databases such as PostgreSQL, Cassandra, or MongoDB (experience)
  • Expertise in cloud infrastructure, particularly Microsoft Azure services (experience)
  • Proven track record of optimizing systems for low-latency performance and high availability (experience)
  • Experience building data visualization tools including dashboards and Gantt charts (experience)
  • Comfortable working in fast-paced environments with tight deadlines and changing priorities (experience)
  • Strong problem-solving skills with a focus on usability, performance, and scalability (experience)
  • Familiarity with containerization technologies like Docker and orchestration with Kubernetes (experience)
  • Knowledge of AI/ML workload scheduling, resource management, and orchestration challenges (experience)
  • Experience with real-time data processing pipelines and streaming technologies (experience)

Responsibilities

  • Design and develop full-stack web applications for real-time tracking and monitoring of large-scale AI workloads
  • Collaborate with researchers, product managers, and infrastructure teams to understand complex operational requirements
  • Build intuitive user interfaces that translate technical scheduling needs into accessible tools
  • Create advanced data visualization components including Gantt charts, resource utilization dashboards, and performance metrics
  • Develop and optimize backend services to handle massive data throughput from supercomputing clusters
  • Implement scalable APIs using REST and GraphQL for seamless frontend-backend communication
  • Ensure low-latency performance and high availability across globally distributed infrastructure
  • Integrate frontend components with scheduling systems, storage solutions, and compute resources
  • Design systems for security, reliability, and fault tolerance in enterprise-scale environments
  • Deploy and manage applications using Kubernetes, Docker, and cloud-native practices
  • Monitor and troubleshoot production systems using observability tooling and logging
  • Continuously improve system performance through profiling, optimization, and capacity planning
  • Participate in code reviews, architecture discussions, and technical planning sessions
  • Document APIs, systems architecture, and operational procedures for team knowledge sharing

Benefits

  • general: Competitive salary with equity package and performance bonuses
  • general: Comprehensive health, dental, and vision insurance coverage
  • general: 401(k) retirement plan with generous company matching
  • general: Relocation assistance package for new employees moving to San Francisco
  • general: Hybrid work model with 3 days in office per week and flexible remote options
  • general: Unlimited PTO policy with encouraged time off for recharge
  • general: Generous parental leave policy for primary and secondary caregivers
  • general: Professional development stipend for conferences, courses, and certifications
  • general: Fully stocked office with gourmet meals, snacks, and beverages
  • general: Mental health support through counseling services and wellness programs
  • general: Gym membership reimbursement and onsite fitness facilities
  • general: Commuter benefits including public transit and parking subsidies
  • general: Employee referral bonuses and internal mobility opportunities
  • general: Volunteer time off program with paid days for community service

Target Your Resume for "Full Stack Engineer, Fleet Scheduling Careers at OpenAI - San Francisco, CA | Apply Now!" , OpenAI

Get personalized recommendations to optimize your resume specifically for Full Stack Engineer, Fleet Scheduling Careers at OpenAI - San Francisco, CA | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Full Stack Engineer, Fleet Scheduling Careers at OpenAI - San Francisco, CA | Apply Now!" , OpenAI

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Full Stack Engineer OpenAIFleet Scheduling Engineer jobsAI infrastructure engineer San FranciscoReact developer OpenAI careersKubernetes engineer AI companyPython backend developer jobsSupercomputer scheduling software engineerDistributed systems engineer OpenAIAzure cloud developer careersReal-time data visualization engineerGantt chart developer AISenior full stack jobs San FranciscoAI workload management engineerGraphQL API developer OpenAIExascale computing software engineerResearch infrastructure developerHybrid full stack engineer Bay AreaOpenAI engineering careersResource allocation software engineerHPC job scheduling developerOpenAI San Francisco jobsAI supercomputer engineerScaling

Answer 10 quick questions to check your fit for Full Stack Engineer, Fleet Scheduling Careers at OpenAI - San Francisco, CA | Apply Now! @ OpenAI.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.