Software Engineer, Frontier Systems - Power Management

at OpenAI
USD 295,000-445,000 per year
SENIOR
✅ On-site
✅ Relocation

Tech Stack

Algorithms Distributed Systems @ 4 Pandas @ 4 Python @ 7 SQL @ 4

Details

The Frontier Systems team builds, launches, and supports the large-scale supercomputers used for cutting-edge model training. The team transforms data center designs into working systems and develops the software required to operate large-scale frontier model training infrastructure reliably and efficiently.

This software engineering role focuses on power management for large-scale supercomputers. The position involves developing critical infrastructure to maximize computational capacity, maintain reliability, and support grid-level power stability. The role requires system-level investigations and the development of automated solutions for detecting and remediating issues at scale, with a high degree of autonomy and ownership.

Responsibilities

  • Develop and implement system-level and software-level solutions to optimize power usage in large-scale supercomputers.
  • Build automation to monitor power consumption patterns during training workloads and design algorithms to stabilize fluctuations and prevent grid reliability issues.
  • Work with researchers and engineers to design tools for real-time monitoring, detection, and remediation of power-related hardware and system faults.
  • Translate complex electrical system requirements into code while driving continuous improvements in power management solutions.
  • Develop 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.
  • Coordinate software-driven power management with hardware capabilities.

Requirements

  • 7+ years of software engineering experience focused on large-scale, system-level challenges.
  • Strong proficiency in Python.
  • Familiarity with automation and scripting tools, such as shell scripting.
  • Experience with distributed systems for aggregating and analyzing streaming data.
  • Knowledge of electrical engineering concepts, including digital signal processing, power systems, Fast Fourier Transforms, or related areas.
  • Experience conducting system-level investigations and developing automated solutions for power management, fault detection, and remediation.
  • Strong analytical skills and the ability to investigate noisy data.
  • Experience with SQL, PromQL, Pandas, or similar tools.
  • Ability to work with hardware and software teams on multidisciplinary problems.

Bonus Qualifications

  • Deep expertise in the power characteristics of synchronous workloads, such as those found in supercomputing or model training environments.
  • Knowledge of power control requirements in IT hardware design and the ability to drive cross-functional integration of power management features into hardware systems.
  • Working knowledge of control system fundamentals and how physical systems respond to control strategies.

Benefits

  • Equity, performance-related bonuses for eligible employees, and benefits in addition to base salary.
  • Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
  • 401(k) retirement plan with employer match.
  • Paid parental, medical, and caregiver leave.
  • Paid time off, paid company holidays, office closures, and paid sick or safe time as required by applicable law.
  • Mental health and wellness support.
  • Employer-paid basic life and disability coverage.
  • Annual learning and development stipend.
  • Daily office meals and eligible meal delivery credits.
  • Relocation support for eligible employees.
  • Additional taxable fringe benefits may include charitable donation matching and wellness stipends.

OpenAI is an equal opportunity employer. Background checks and reasonable accommodations are handled in accordance with applicable law.

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