Find OpenAI Staff Software Engineer software engineering jobs

AI research and deployment company dedicated to ensuring general-purpose artificial intelligence benefits all of humanity.

OpenAI is seeking a Senior Support Engineer Leader to build and scale their Support Engineering team in Dublin, Ireland. This pivotal role involves leading one of the best technical troubleshooting teams, working directly with strategic enterprise accounts and engineering teams to solve complex technical challenges. The position offers an unique opportunity to shape the future of AI support at OpenAI, managing a global team providing 24x7 technical coverage.

The ideal candidate will have extensive experience in technical leadership, with a strong background in software engineering and customer support. They will be responsible for building and managing a team of technical experts who serve as the last line of defense before core engineering teams. This role requires someone who can balance technical expertise with leadership skills, capable of developing team members while maintaining strong relationships with customers and cross-functional teams.

Working in a hybrid model (3 days in office), the position offers the chance to be at the forefront of AI technology, working with innovative customers building cutting-edge AI solutions. The role demands someone who can thrive in a fast-paced environment, handle multiple projects simultaneously, and drive performance improvements across the organization.

OpenAI provides a unique opportunity to work with state-of-the-art AI technology while contributing to the company's mission of ensuring AI benefits humanity. The company offers a collaborative environment focused on pushing the boundaries of AI capabilities while maintaining a strong emphasis on safety and human needs.

Lead OpenAI's Support Engineering team in Dublin, managing global technical support for enterprise API customers and driving technical excellence in AI solutions.

Senior Support Engineer Leader - Dublin

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

Join the engineering teams that bring OpenAI's ideas safely to the world! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI's technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it's delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand.

In this role, you will:
- Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands.
- Collaborate with development teams to make the systems they design and operate more reliable.
- Implement and manage monitoring systems to proactively identify issues and anomalies in our production environment.
- Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability.
- Implement fault-tolerant and resilient design patterns to minimize service disruptions.
- Build and maintain automation tools to streamline repetitive tasks and improve system reliability.
- Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world.
- Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability.

Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
- Proven experience as a reliability engineer or a similar role in a fast-paced, rapidly scaling company.
- Strong proficiency in cloud infrastructure.
- Proficiency in programming/scripting languages.
- Experience with containerization technologies and container orchestration platforms like Kubernetes.
- Knowledge of IaC tools such as Terraform or CloudFormation.
- Excellent problem-solving and troubleshooting skills.
- Strong communication and collaboration skills.
- Experience with observability tools such as DataDog, Prometheus, Grafana, Splunk and ELK stack.
- Experience with microservices architecture and service mesh technologies.
- Knowledge of security best practices in cloud environments.

This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.

OpenAI is seeking a Software Engineer, Reliability to ensure system scalability, reliability, and performance as the company grows.

Software Engineer, Reliability

AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

Our team is responsible for the post-training phase of ChatGPT, transforming large pre-trained models into powerful, safe, and user-friendly chatbots. We're seeking an engineer to accelerate the deployment of improvements to our models. You'll collaborate with diverse teams handling various facets of the system, including core capabilities, multimodal integration, and tools. This role offers a unique opportunity to shape the future of ChatGPT, working across the technology stack.

Key responsibilities include:
- Leading the regular release process of ChatGPT and API models
- Diagnosing and resolving systems and ML issues in large ML codebases
- Ensuring a stable, smooth, and user-friendly model development process
- Collaborating with cross-functional teams to design new features and integrate enhancements

The ideal candidate has a robust technical background in data technologies, reliable software engineering, production ML model development, and cross-functional collaboration. A deep understanding of ML fundamentals and large-scale deep learning is essential. Excellent communication and project management skills are crucial.

This role is based in San Francisco, CA, with a hybrid work model of 3 days in the office per week. Relocation assistance is offered to new employees.

Join us in shaping the future of technology and ensuring that the benefits of AI are widely shared.

OpenAI seeks a Post-training Model Fusion Research Engineer to enhance ChatGPT's capabilities and lead deployment improvements.

Post-training - Model Fusion Research Engineer

The Frontiers Infrastructure team at OpenAI builds low-level framework components to power ML training systems. They focus on creating robust, debuggable, high-performance libraries to support distributed training workloads. The team's priorities are maximizing researcher productivity and hardware efficiency to accelerate progress towards AGI.

As a Frontiers Infrastructure Engineer, you'll work on delivering powerful APIs that orchestrate thousands of computers for moving and persisting vast amounts of data. This role requires creating easy-to-use, introspectible systems that promote fast debugging and development cycles while scaling to the newest supercomputers with stability and performance.

Key responsibilities include:
- Working across the Python stack
- Profiling, optimizing, and designing for scale in compute and data capabilities
- Building and maintaining tools used by researchers
- Deploying the training framework to the latest supercomputers, rapidly responding to changing ML system needs

The ideal candidate should:
- Have experience with large distributed systems
- Love figuring out how systems work and continuously improve them
- Enjoy accelerating research
- Possess strong software engineering skills and proficiency in Python

This role is based in San Francisco, CA, with a hybrid work model of 3 days in the office per week. OpenAI offers relocation assistance to new employees and is committed to diversity, equal opportunity, and providing reasonable accommodations to applicants with disabilities.

Join OpenAI in shaping the future of technology and ensuring that the benefits of AI are widely shared.

OpenAI seeks a Frontiers Infrastructure Engineer to build powerful APIs for ML training systems, optimizing performance and scalability.

Frontiers Infrastructure Engineer

The Applied Infrastructure team at OpenAI designs, builds, and operates the foundational infrastructure that powers ChatGPT and the API. As a Software Engineer in Infrastructure, you will:

- Design and build development and production platforms for reliability and security at scale
- Accelerate engineering productivity with excellent tooling and systems
- Partner with product engineers to lay technical foundations for new features and research capabilities
- Guide product engineering teams on best practices for observable, scalable systems
- Help create a diverse, equitable, and inclusive culture
- Participate in on-call rotation for critical incidents

You might thrive in this role if you:
- Have 8+ years of engineering experience, including 4+ years in infrastructure
- Care deeply about building a diverse, equitable, inclusive culture
- Take pride in building and operating scalable, reliable, secure systems
- Are comfortable with ambiguity and rapid change
- Have a strong desire to learn and share knowledge effectively

Technologies you'll work with include Kubernetes, Python, FastAPI, Cosmos DB, Postgres, and Terraform.

This role is exclusively based in the San Francisco HQ, with relocation assistance available. OpenAI is committed to safety, diversity, and using AI to benefit humanity.

Join OpenAI as a Software Engineer in Infrastructure to build and operate foundational systems for ChatGPT and API.

OpenAI Staff Software Engineer Software Engineering Jobs

Find OpenAI Staff Software Engineer software engineering jobs