almost 2 years ago
Base Salary
$295k - $445k/yr
Responsibilities
- Develop system-level and software-level solutions to optimize power usage in large-scale supercomputers.
- Build automation to monitor power consumption during training workloads and design algorithms to stabilize fluctuations.
- Create tools for real-time monitoring, detection, and remediation of power-related hardware and system faults.
- Translate electrical system requirements into code and improve power-management solutions.
- Develop IT-system-level power-throttling mechanisms that dynamically adjust usage based on workloads and infrastructure limitations.
- Collaborate with hardware design teams to integrate software-driven power control requirements into IT hardware.
Requirements
- 7+ years of software engineering experience focused on large-scale, system-level challenges.
- Strong proficiency in Python and familiarity with automation and shell scripting.
- Experience with distributed systems for aggregating and analyzing streaming data.
- Knowledge of electrical engineering concepts such as digital signal processing, power systems, and Fast Fourier Transforms.
- Experience investigating system-level issues and developing automated solutions for power management, fault detection, and remediation.
- Strong analytical skills and experience working with noisy data using tools such as SQL, PromQL, or Pandas.
- Ability to collaborate with hardware and software teams on multidisciplinary problems.
- Bonus: expertise in power characteristics of synchronous workloads in supercomputing or model-training environments.
- Bonus: knowledge of power-control requirements in IT hardware design and experience integrating power-management features into hardware systems.
- Bonus: working knowledge of control-system fundamentals and physical-system responses to control strategies.
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.