Find OpenAI Staff Software Engineer software engineering jobs

AI research and deployment company dedicated to ensuring 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 collaborate across the company to enhance ChatGPT's safety, speed, intelligence, utility, and overall capabilities. We integrate these improvements into the final models powering our production ChatGPT and API services, impacting millions of users worldwide.

We are seeking an engineer to accelerate the deployment of improvements to our models. You will collaborate with diverse teams handling various facets of the system, including core capabilities, multimodal integration (speech, images, and video), tools, and more. This role offers a unique opportunity to shape the future of ChatGPT, working across the technology stack, from optimizing low-level components like GPU kernels and network traffic to mastering the intricacies of RL post-training.

The ideal candidate has a robust technical background in areas such as data technologies, reliable software engineering, production ML model development, and cross-functional collaboration. While research experience is not required, a deep understanding of ML fundamentals and large-scale deep learning is essential for troubleshooting and analyzing complex system and ML issues. Excellent verbal and written communication skills, along with strong project management abilities, are crucial as you will collaborate with both technical research teams and non-technical product teams across the company.

Key Responsibilities:
- Lead the regular release process of ChatGPT and API models
- Dive deep into large ML codebases to diagnose and resolve systems and ML issues
- Ensure a stable, smooth, and user-friendly model development process
- Collaborate with cross-functional teams to design new features and integrate enhancements into ChatGPT

Sample projects include:
- Consulting with product teams on how to best improve ChatGPT
- Integrating new multimodal features or tools into ChatGPT
- Working with data scientists to understand the impact of new models on users

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.

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

Post-training - Model Fusion Research Engineer

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.

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.

Software Engineer, Infrastructure

OpenAI is a leading artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc.

OpenAI is seeking an Engineering Manager for their Fine-Tuning API team. This role is part of the Applied AI department and is based in San Francisco. The position offers a competitive salary range of $300K – $450K, with additional compensation including generous equity and benefits.

As an Engineering Manager for the Fine-Tuning API team, you will lead a crucial part of OpenAI's mission to ensure that artificial general intelligence (AGI) benefits all of humanity. You'll be responsible for managing and growing a team of talented engineers working on cutting-edge AI technology.

Key responsibilities include:
1. Leading and mentoring a team of engineers working on the Fine-Tuning API
2. Collaborating with cross-functional teams to define and execute on product roadmaps
3. Ensuring the reliability, scalability, and performance of the Fine-Tuning API
4. Driving technical decisions and architectural improvements
5. Fostering a culture of innovation, learning, and continuous improvement

The ideal candidate will have:
1. 7+ years of relevant experience in software engineering and management
2. Strong technical background in machine learning, distributed systems, or related fields
3. Proven track record of leading and growing high-performing engineering teams
4. Excellent communication and interpersonal skills
5. Passion for AI and its potential to positively impact the world

OpenAI offers a comprehensive benefits package, including:
- Medical, dental, and vision insurance for you and your family
- Mental health and wellness support
- 401(k) plan with 50% matching
- Unlimited time off and 13 company holidays per year
- Paid parental leave (20 weeks) and family-planning support
- Annual learning & development stipend ($1,500 per year)

Join OpenAI and be part of a team that's shaping the future of AI technology. Apply now to contribute to groundbreaking research and development in a collaborative and innovative environment.

Lead the Fine-Tuning API team at OpenAI as an Engineering Manager. Shape the future of AI in San Francisco with a competitive salary and comprehensive benefits.

Engineering Manager, Fine-Tuning API

OpenAI is seeking an experienced Engineering Manager to lead our Distributed Systems team in San Francisco. This role is crucial in developing and maintaining the large-scale infrastructure that powers our cutting-edge AI research and applications.

As the Engineering Manager for Distributed Systems, you will:

- Lead and mentor a team of talented engineers working on complex distributed systems
- Collaborate with research teams to understand and implement infrastructure requirements for AI models
- Design and oversee the development of scalable, reliable, and efficient distributed systems
- Contribute to the overall technical strategy and roadmap for OpenAI's infrastructure
- Ensure best practices in system design, code quality, and operational excellence

The ideal candidate will have:

- 7+ years of relevant experience in software engineering, with a focus on distributed systems
- Proven track record of leading and growing engineering teams
- Deep understanding of distributed systems, cloud computing, and large-scale data processing
- Experience with AI/ML infrastructure is a plus
- Excellent communication and interpersonal skills

At OpenAI, we offer a competitive compensation package, including a salary range of $310K – $385K, plus generous equity and benefits. Our benefits include:

- Comprehensive medical, dental, and vision insurance for you and your family
- Mental health and wellness support
- 401(k) plan with 50% matching
- Unlimited time off and 13 company holidays per year
- Paid parental leave (20 weeks) and family-planning support
- Annual learning & development stipend ($1,500 per year)

Join us in shaping the future of AI technology and make a significant impact on the field of distributed systems. Apply now to be part of our innovative team in the heart of San Francisco.

Note: This role requires the ability to work from our San Francisco HQ at least 3 days per week.

Lead distributed systems engineering teams at OpenAI, developing large-scale AI infrastructure in San Francisco.

Engineering Manager, Distributed Systems

OpenAI is a leading artificial intelligence research company.

OpenAI is seeking a Research Engineering Lead for Post-training Evaluation to join our team in San Francisco. This role offers an exciting opportunity to lead and innovate in the field of AI research and development.

As a Research Engineering Lead, you will be responsible for overseeing the post-training evaluation of AI models, a critical step in ensuring the effectiveness and safety of our AI systems. You'll work closely with cross-functional teams, including researchers, engineers, and product managers, to develop and implement robust evaluation methodologies.

Key responsibilities include:
- Leading the design and implementation of post-training evaluation frameworks for complex AI models
- Collaborating with research teams to identify key performance metrics and potential risks in AI systems
- Developing innovative techniques to assess model behavior, safety, and alignment with intended goals
- Managing a team of engineers and researchers, fostering a culture of excellence and continuous improvement
- Staying at the forefront of AI safety and evaluation research, incorporating new findings into our processes

The ideal candidate will have:
- 7+ years of relevant experience in machine learning, AI research, or a related field
- Strong leadership skills with experience managing technical teams
- Deep understanding of machine learning algorithms, neural networks, and AI safety considerations
- Excellent programming skills, particularly in languages commonly used in AI research (e.g., Python, PyTorch, TensorFlow)
- Track record of publications or contributions to the field of AI research and evaluation
- Ability to work in a fast-paced, collaborative environment

At OpenAI, we offer a competitive compensation package, including a salary range of $360K – $440K, generous equity, and comprehensive benefits. Our hybrid work model requires presence in our San Francisco HQ for 3 days per week, allowing for a balance of in-person collaboration and remote work flexibility.

Join us in shaping the future of AI and ensuring its safe and beneficial development. Apply now to be part of a team that's pushing the boundaries of what's possible in artificial intelligence.

Lead post-training evaluation for AI models at OpenAI. Hybrid role in San Francisco, $360K-$440K salary, generous benefits. 7+ years experience required.

Research Engineering Lead, Post-training Evaluation

The Sora team at OpenAI is working on making video a key capability of OpenAI's foundation models. As a Distributed Training Engineer for Sora, you will work on improving the training throughput for our internal training framework and enable researchers to experiment with new ideas. This role requires strong engineering skills, the ability to write bug-free machine learning code, and deep knowledge of supercomputer performance.

Key responsibilities include:
- Collaborating with researchers to develop systems-efficient video models and architectures
- Applying the latest techniques to achieve impressive hardware efficiency for training runs
- Profiling and optimizing the training framework

The ideal candidate should have experience with multi-modal ML pipelines, strong software engineering skills (particularly in Python), experience with understanding and optimizing training kernels, and a passion for understanding stable training dynamics.

OpenAI offers a competitive compensation package, including a salary range of $295K – $440K, generous equity, and comprehensive benefits such as medical insurance, mental health support, 401(k) matching, unlimited time off, and paid parental leave.

This role is based in San Francisco, CA, with a hybrid work model of 3 days in the office per week. OpenAI is committed to diversity, equality, and creating an inclusive environment for all employees.

Join OpenAI as a Distributed Training Engineer for Sora, working on cutting-edge video AI models and optimizing training frameworks.

Distributed Training Engineer, Sora

OpenAI is seeking a highly skilled HW/SW Co-Design Engineer to join our team in San Francisco. This role offers an exciting opportunity to work at the forefront of artificial intelligence technology, focusing on optimizing hardware and software integration for AI workloads.

As a HW/SW Co-Design Engineer, you will be responsible for performance modeling/analysis and identifying bottlenecks in AI workloads. Your expertise will be crucial in enhancing the efficiency and effectiveness of our AI systems. This position requires a minimum of 7 years of relevant experience outside of internships and academia, indicating that we're looking for a seasoned professional with a proven track record in the field.

OpenAI offers a competitive compensation package, with a salary range of $360,000 to $530,000 per year, depending on your experience and qualifications. In addition to the base salary, we provide generous equity and an impressive benefits package that includes:

1. Comprehensive medical, dental, and vision insurance for you and your family
2. Mental health and wellness support
3. 401(k) plan with 50% matching
4. Unlimited time off and 13 company holidays per year
5. 20 weeks of paid parental leave and family-planning support
6. Annual learning & development stipend of $1,500

We value work-life balance and offer a hybrid work model, requiring you to be present at our San Francisco HQ for 3 days per week. This arrangement allows for both collaborative in-person work and the flexibility of remote work.

Joining OpenAI means being part of a team that's pushing the boundaries of AI technology. You'll have the opportunity to work on cutting-edge projects and contribute to advancements that could shape the future of artificial intelligence. If you're passionate about AI, have a strong background in hardware and software co-design, and are ready to take on complex challenges, we encourage you to apply for this exciting role at OpenAI.

OpenAI seeks a HW/SW Co-Design Engineer to optimize AI workloads with 7+ years experience. Hybrid role in San Francisco.

HW/SW Co-Design Engineer

OpenAI is seeking a Software Engineer specializing in Supercomputing Scalability to join our team in San Francisco. This role is part of our Research department and offers an exciting opportunity to work on cutting-edge AI technologies.

As a Software Engineer in Supercomputing Scalability, you'll be at the forefront of developing and optimizing large-scale computing systems that power OpenAI's groundbreaking AI research. You'll work on improving the efficiency and performance of our supercomputing infrastructure, enabling us to train and run increasingly complex AI models.

Key responsibilities include:
- Designing and implementing scalable software solutions for supercomputing environments
- Optimizing code for high-performance computing systems
- Collaborating with researchers to understand and meet their computational needs
- Developing tools and frameworks to improve the efficiency of our AI training pipelines
- Troubleshooting and resolving complex technical issues in a distributed computing environment

The ideal candidate will have:
- 7+ years of relevant experience in software engineering, with a focus on high-performance computing or distributed systems
- Strong programming skills in languages commonly used in scientific computing (e.g., C++, Python)
- Experience with parallel computing frameworks and technologies
- Familiarity with machine learning concepts and frameworks is a plus
- Excellent problem-solving skills and attention to detail

At OpenAI, we offer a competitive compensation package, including a salary range of $295K – $530K, plus generous equity. We also provide comprehensive benefits, including:
- Medical, dental, and vision insurance for you and your family
- Mental health and wellness support
- 401(k) plan with 50% matching
- Unlimited time off and 13 company holidays per year
- Paid parental leave (20 weeks) and family-planning support
- Annual learning & development stipend ($1,500 per year)

Join us in our mission to ensure that artificial general intelligence benefits all of humanity. If you're passionate about pushing the boundaries of AI and working with state-of-the-art supercomputing technology, we encourage you to apply.

Note: This role requires the ability to work from our San Francisco HQ three days per week, offering a hybrid work arrangement that balances in-person collaboration with flexibility.

OpenAI is hiring a Software Engineer for Supercomputing Scalability to optimize large-scale AI computing systems in San Francisco.

OpenAI Staff Software Engineer Software Engineering Jobs

Find OpenAI Staff Software Engineer software engineering jobs