Software Engineer, Frontier Systems - Power Management

Highlights

• Build power management for the world's largest AI supercomputers.
• Stabilize grid-level power fluctuations from frontier training workloads.
• Drive power throttling to dynamically balance workload and infrastructure.

What they offer

• Equity

Ideal candidate

A deeply curious systems thinker who thrives on autonomy, digging into noisy multidisciplinary problems and building automation that keeps hyperscale supercomputers reliable and efficient.

Requirements

• 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 (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.
• Experience in system-level investigations and development of automated solutions to address power management, fault detection, and remediation.
• Strong analytical skills and the ability to dig into noisy data (experience with SQL, PromQL, Pandas, etc.).
• Comfort working with both hardware and software teams to solve multidisciplinary problems.