Training Process Management Engineer

About the Team

Training Runtime designs the core distributed runtime that powers everything from early research experiments to frontier-scale model runs. We work on building robust scalable high performance components to support our distributed training workloads. Our priorities are to maximize the productivity of our researchers and our hardware with the goal of accelerating progress towards AGI.

Within Training Runtime the Process Management team develops the distributed OS responsible for launching coordinating and supervising the large numbers of processes that make up modern training workloads. Our runtime sits beneath training frameworks and on top of research infrastructure ensuring jobs run reliably across massive clusters while maintaining performance stability and observability.

Success for us is measured by both system reliability and researcher velocity - enabling ideas to scale from experiments to production training runs.

About the Role

As a Training Runtime: Process Management Engineer you will work on the software that ties thousands of computers together and exposes them as a unified system.

This system has to serve individual researchers running multiple parallel experiments as well as our largest training runs spanning 100s of thousands and even millions of machines and accelerators. This requires easy to use introspectable systems that can promote a fast debugging and development cycle as well as relentless optimization for scale while maintaining stability and performance throughout.

You will work primarily in Rust building high-performance asynchronous systems with a strong emphasis on performance correctness and scalability.

Working at this scale and at the frontier of AI development poses novel challenges. Out-of-the-box approaches often dont work. The problems you will be working on are highly ambiguous and require strong design judgment as well as proficient execution to advance the state of our infrastructure.

Were looking for people who love optimizing an end-to-end platform understanding high-performance architectures to maximize both local and distributed performance across our supercomputers. Were looking for engineers excited by the rapid pace of responding to the dynamic and evolving needs of our training runtime and compute stack.

This role is based in London UK. 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:

• Work across our Python and Rust stack

• Design build and maintain software to orchestrate and monitor machine learning workloads on our largest supercomputers

• Profile and optimize our software stack to support computation orchestration at frontier scale

• Improve reliability observability and fault tolerance for long-running jobs

• Debug complex distributed systems issues across large clusters

• Respond to the changing shapes and needs of the ML systems to enable our researchers
  

You might thrive in this role if you:

• Have experience developing distributed systems (not just operating them)

• Enjoy understanding how large systems behave and fail at scale

• Care deeply about performance correctness and reliability

• Have strong software engineering skills and are proficient in Python and Rust or another systems programming language (e.g. C)

• Have solid Linux knowledge and are comfortable with systems-level debugging performance analysis and memory profiling

• Are comfortable and experienced working and developing asynchronous and concurrent systems

• Like high-ownership environments with light process and strong engineering agency

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 we do not discriminate on the basis of race religion color national origin sex sexual orientation age veteran status disability genetic information or other applicable legally protected characteristic.

For additional information please see OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct adverse and negative relationship with the following job duties potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary confidential and non-public addition job duties require access to secure and protected information technology systems and related data security obligations.

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