The opportunity
The Frontier Systems team at OpenAI builds, launches, and supports the largest supercomputers in the world that OpenAI uses for its most cutting edge model training.
What you'll do
Develop and implement system-level and software-level solutions to optimize: power usage in large-scale supercomputers, ensuring efficient and reliable operations.
Build automation to monitor power consumption patterns during training: workloads and design algorithms to stabilize these fluctuations, preventing issues with grid reliability.
Work with researchers and engineers to design tools for real-time monitoring,: detection, and remediation of power-related hardware and system faults.
Collaborate cross-functionally to translate complex electrical system: requirements into code, while driving continuous improvements in power management solutions.
Drive the development of power throttling mechanisms at the IT system level: to dynamically adjust power usage based on workload demands and infrastructure limitations.
Collaborate with hardware design teams to integrate system-level power: control requirements into IT hardware design, ensuring seamless coordination between software-driven power management and hardware capabilities.
What they're looking for
- + years of software engineering experience with a focus on solving large-scale, system-level challenges.
- Strong proficiency in Python and familiarity with automation and scripting tools (e.g., shell scripting).
- Experience with distributed systems to efficiently aggregate and analyze streaming data.
- Knowledge of electrical engineering concepts including digital signal: processing, power systems, Fast Fourier Transforms, or related areas.
