Software Engineer, Computer-Using Agent
About the Team
The Computer-Using Agent team is responsible for developing and deploying computer-using agents—agents that operate graphical user interface-based tools such as computers and browsers. As the team behind Operator, OpenAI's externally released computer-using agent product, we collaborate with cross-functional teams at every training and deployment stage to advance the capabilities of these agents. We evaluate and enhance their capabilities holistically, considering aspects such as perception, reasoning, manipulation, long-horizon reliability, safety and more. Combining rigorous research with high-quality engineering across evaluation, data, training, RL environments and shared infrastructures, we aim to create reliable and practical computer-using agents.
About the Role
We’re looking for strong engineers to help unblock and drive critical infrastructure work related to training, operating and deploying our computer-using agent. You will play a crucial role in designing and maintaining robust and secure systems that facilitate the training of next-gen computer-using agents at a massive scale. You will work closely with researchers to enhance system capabilities and support experimental and production workloads.
You will work directly on the systems that allow models to control entire operating systems, browse the internet, and take actions in secure environments. We’re looking for people with deep experience building AI infrastructure and who are used to working closely with researchers to build high-performance systems at massive scale for specialized use cases.
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:
You will oversee the development and performance of CUA-specific containers on extremely high-scale Kubernetes clusters, ensuring functionality, security, and reliability.
Use Terraform to create and manage complex large-scale infrastructure that powers our RL training environment
Develop and maintain Python/FastAPI/gRPC services that manage our large-scale AI computing environment.
Collaborate with research teams to stand up and optimize systems for novel AI training runs and experimental applications.
Design, implement, test, and debug code across our research stack.
You might thrive in this role if you:
Have experience building backend infrastructure that is easy to maintain.
Have experience building products that end users interface with.
Have experience making things go fast.
Understand how the web works in general e.g. HTTP, DOM, javascript
Have experience with, or willing to learn how to customize and debug browsers, e.g. developer tools, CDP, extensions etc.
Have a passion for learning new programming languages / technologies
Enjoy creating simple impactful systems and frameworks with strong test infrastructure
Are a team player, willing to do a variety of tasks that move the team forward.
Enjoy fast-paced, collaborative, and cutting-edge research environments.
Have experience working on large-scale Machine Learning infrastructure and distributed systems.
Know how to reason about training at scale, identifying bottlenecks and engineering solutions to optimize system performance in training environments.
Know your way around cloud platforms and work with infrastructure-as-code tech like Terraform.
Have mastered more than multiple programming languages and feel comfortable spinning up new services from scratch.
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.
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Join OpenAI as a Software Engineer on the Computer-Using Agent team, where you'll be at the forefront of developing and deploying cutting-edge computer-using agents. Located in the vibrant city of San Francisco, our team collaborates across various disciplines to enhance the capabilities of our systems that intelligently operate graphical user interfaces. You'll be instrumental in designing and managing secure infrastructure that supports the training of next-gen AI agents. This role combines rigorous research with practical engineering, as you’ll oversee the performance of our CUA-specific containers within massive Kubernetes clusters while ensuring their reliability and security. Working closely with researchers, you'll optimize these systems for innovative AI training and applications. If you have a knack for building efficient, maintainable backend infrastructure and a passion for diving into new technologies, this is your chance. We foster an exciting and fast-paced environment where collaboration is key. With a hybrid work model and relocation assistance offered, this is more than just a job; it's an opportunity to shape the future of technology. Are you ready to make an impact?
OpenAI is a US based, private research laboratory that aims to develop and direct AI. It is one of the leading Artifical Intellgence organizations and has developed several large AI language models including ChatGPT.
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