Power Management Engineer for Hyperscale AI Training

OpenAI; San Francisco (CA); On-site; USD 310,000 - 460,000; Full time

Job summary

A leading AI research company located in San Francisco is seeking an experienced Software Engineer to optimize power management in large-scale supercomputers. The ideal candidate will have strong software engineering skills, particularly in Python, with a focus on system-level challenges. This role offers a unique opportunity to contribute to cutting-edge research while ensuring reliable and efficient operations. Competitive compensation is offered, ranging from $310K to $460K.

Qualifications

• 7+ 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.
• Knowledge of electrical engineering concepts including digital signal processing and power systems.

Responsibilities

• Develop and implement system-level and software-level solutions to optimize power usage.
• Build automation to monitor power consumption patterns during training workloads.
• Collaborate cross-functionally to translate complex electrical system requirements into code.

Skills

Python proficiency

Distributed systems experience

Analytical skills

Automation expertise

Tools

SQL

Pandas

Shell scripting

Job description

A leading AI research company located in San Francisco is seeking an experienced Software Engineer to optimize power management in large-scale supercomputers. The ideal candidate will have strong software engineering skills, particularly in Python, with a focus on system-level challenges. This role offers a unique opportunity to contribute to cutting-edge research while ensuring reliable and efficient operations. Competitive compensation is offered, ranging from $310K to $460K.