OpenAI
Software Engineer, Data Visualization
OpenAI, San Francisco, California, United States, 94199
About the Team
The Data Visualization team at OpenAI is responsible for building and maintaining all the visualization tools used for analyzing various software and hardware aspects of our custom-built hyperscale supercomputers. This includes visualizing hardware (nodes, network, racks, etc.), monitoring how a user's job is running on the platform, and assessing the health of the underlying systems. These tools allow us to analyze, improve, and operate the platform for running and training the world's largest AI models. We work at the cutting edge of speed and scale, combining the traditions of High-Performance Computing (HPC) with a modern cloud and containerized environment.
Our team is incubated within OpenAI's Research team, operating at the forefront of AI innovations. The Platform Visualization team complements the existing platform teams that ensure our researchers are minimally impacted by hardware faults. We maximize available supercomputing capacity for researchers and maintain the reliability, scalability, and user-friendliness of job lifecycle management, with an emphasis on efficient job scheduling, quota management, and job execution workflows.
About the Role
As a Software Engineer on the Platform Visualization team, you will play a critical role in designing, developing, and maintaining the full-stack visualization tools that are essential for analyzing the software and hardware aspects of OpenAI's hyperscale supercomputers. Your work will involve creating intuitive front-end interfaces and back-end systems for visualizing hardware components, monitoring training job performance on the platform, and ensuring the health of underlying systems.
In this role, you will collaborate closely with other engineering and research teams to gather requirements, understand visualization needs, and deliver full-stack solutions that enhance our ability to analyze, improve, and operate the platform.
Key Responsibilities: Develop and maintain full-stack visualization tools for hardware and software analysis. Design intuitive front-end interfaces and robust back-end systems for monitoring the performance and health of supercomputer systems. Collaborate with researchers and engineers to understand their needs and deliver effective full-stack visualization solutions. Ensure high performance, reliability, and scalability of visualization tools across both front-end and back-end systems. Continuously improve existing tools and develop new features to meet evolving requirements. Qualifications:
Strong experience in full-stack software development, with a focus on building scientific or infrastructure visualization tools. Proficiency in both front-end and back-end programming languages such as Python, JavaScript, SQL, or similar. Familiar with front-end technologies like React and back-end technologies like Node.js, and databases like Snowflake. Experience with visualization libraries and frameworks (e.g., Plotly, Grafana). Strong understanding of full-stack architecture, design principles, and best practices. Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work collaboratively in a team environment. Bonus: Prior experience technically leading a team of 4+ engineers, as this is a 0-1 effort with team growth on the horizon Bonus if familiar with High-Performance Computing (HPC) environments and modern cloud/container technologies (e.g., Kubernetes, Azure).
This role offers the opportunity to work on some of the largest and most advanced AI infrastructure in the world, directly contributing to the success of OpenAI and the advancement of the field of AI. If you are passionate about cutting-edge technology and eager to tackle complex challenges, we would love to hear from you
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.
The Data Visualization team at OpenAI is responsible for building and maintaining all the visualization tools used for analyzing various software and hardware aspects of our custom-built hyperscale supercomputers. This includes visualizing hardware (nodes, network, racks, etc.), monitoring how a user's job is running on the platform, and assessing the health of the underlying systems. These tools allow us to analyze, improve, and operate the platform for running and training the world's largest AI models. We work at the cutting edge of speed and scale, combining the traditions of High-Performance Computing (HPC) with a modern cloud and containerized environment.
Our team is incubated within OpenAI's Research team, operating at the forefront of AI innovations. The Platform Visualization team complements the existing platform teams that ensure our researchers are minimally impacted by hardware faults. We maximize available supercomputing capacity for researchers and maintain the reliability, scalability, and user-friendliness of job lifecycle management, with an emphasis on efficient job scheduling, quota management, and job execution workflows.
About the Role
As a Software Engineer on the Platform Visualization team, you will play a critical role in designing, developing, and maintaining the full-stack visualization tools that are essential for analyzing the software and hardware aspects of OpenAI's hyperscale supercomputers. Your work will involve creating intuitive front-end interfaces and back-end systems for visualizing hardware components, monitoring training job performance on the platform, and ensuring the health of underlying systems.
In this role, you will collaborate closely with other engineering and research teams to gather requirements, understand visualization needs, and deliver full-stack solutions that enhance our ability to analyze, improve, and operate the platform.
Key Responsibilities: Develop and maintain full-stack visualization tools for hardware and software analysis. Design intuitive front-end interfaces and robust back-end systems for monitoring the performance and health of supercomputer systems. Collaborate with researchers and engineers to understand their needs and deliver effective full-stack visualization solutions. Ensure high performance, reliability, and scalability of visualization tools across both front-end and back-end systems. Continuously improve existing tools and develop new features to meet evolving requirements. Qualifications:
Strong experience in full-stack software development, with a focus on building scientific or infrastructure visualization tools. Proficiency in both front-end and back-end programming languages such as Python, JavaScript, SQL, or similar. Familiar with front-end technologies like React and back-end technologies like Node.js, and databases like Snowflake. Experience with visualization libraries and frameworks (e.g., Plotly, Grafana). Strong understanding of full-stack architecture, design principles, and best practices. Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work collaboratively in a team environment. Bonus: Prior experience technically leading a team of 4+ engineers, as this is a 0-1 effort with team growth on the horizon Bonus if familiar with High-Performance Computing (HPC) environments and modern cloud/container technologies (e.g., Kubernetes, Azure).
This role offers the opportunity to work on some of the largest and most advanced AI infrastructure in the world, directly contributing to the success of OpenAI and the advancement of the field of AI. If you are passionate about cutting-edge technology and eager to tackle complex challenges, we would love to hear from you
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.