OpenAI
Software Engineer, Frontier Systems - Power Management
$295K–$445K
San Francisco · Full-time · Posted Oct 31, 2024
- Experience
- 7+ years of software engineering experience focused on large-scale, system-level challenges.
About the job
Develop software and system-level power management solutions that keep large-scale supercomputers reliable and efficient during frontier model training.
What you'll do
- Develop power-optimization solutions, monitoring automation, and algorithms to stabilize power fluctuations.
- Build tools for real-time detection and remediation of power-related hardware and system faults.
- Develop IT-level power throttling and collaborate with researchers, engineers, and hardware teams on power-control requirements.
What they ask for
- Strong proficiency in Python and 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 such as digital signal processing, power systems, or Fast Fourier Transforms.
- Experience investigating system-level problems and building automated power-management, fault-detection, and remediation solutions.
Nice to have
- Expertise with power characteristics of synchronous workloads such as supercomputing or model training.
- Knowledge of IT hardware power-control requirements or control-system fundamentals.
Pay
USD $295K – $445K base salary
Tools
Python, shell scripting, SQL, PromQL, Pandas
AI focus
The role supports frontier model training infrastructure; it does not involve developing AI models.
Model-written summary · the original posting is authoritative