About the job
About Our Team
Join the innovative Frontier Systems team at OpenAI, where we develop, deploy, and maintain some of the world’s largest supercomputers used for pioneering model training. Our expertise in transforming data center designs into fully operational systems enables us to build the necessary software to facilitate expansive frontier model trainings.
Our mission is to establish, stabilize, and ensure the dependability and efficiency of these hyperscale supercomputers throughout the training of our advanced models.
About This Position
As a Software Engineer on the Frontier Systems team with a focus on power management, you will play a pivotal role in enhancing our groundbreaking research capabilities. Given the significant power demands of large-scale supercomputers, your expertise will be essential in optimizing power management to maximize computational efficiency. This role is vital for maintaining smooth operations within our cutting-edge research supercomputing framework, ensuring both reliability and grid-level power consistency.
Our team fosters an environment that empowers talented engineers with substantial autonomy and ownership, allowing for impactful contributions. You will be challenged to conduct thorough system-level investigations and develop automated solutions, tackling complex issues with depth and precision while creating scalable automation for detection and remediation.
Your Responsibilities Will Include:
Design and implement both system-level and software-level solutions to optimize power consumption in large-scale supercomputers, ensuring efficient and reliable operations.
Develop automation tools to monitor power consumption patterns during training workloads and create algorithms to stabilize these fluctuations, safeguarding grid reliability.
Collaborate with researchers and engineers to create tools for real-time monitoring, detection, and resolution of power-related hardware and system issues.
Work cross-functionally to translate complex electrical system requirements into executable code, driving ongoing enhancements in our power management strategies.
Lead the creation of power throttling mechanisms at the IT system level, dynamically adjusting power usage based on workload demands and infrastructure constraints.
Partner with hardware design teams to integrate system-level power control requirements into hardware design, ensuring seamless collaboration between software-driven power management and hardware functionalities.

