Staff Compute Systems Engineer — Fleet & Scheduling

Mirendil Inc.; San Francisco (CA); On-site; USD 300,000 - 400,000; Full time

Job summary

Mirendil Inc. is building a frontier AI research company and seeking an engineer to orchestrate a large GPU fleet across many providers. You will influence how much compute goes to research by designing fleet bring-up, scheduling, reliability, and capacity strategies.

The role focuses on turning GPUs into a seamless, productive compute resource for researchers, with a base salary and meaningful equity depending on experience.

Responsibilities

• Fleet bring-up and lifecycle - take new clusters from delivered to running real jobs fast, and keep them healthy as they age
• Scheduling and allocation - decide what runs where, so pretraining, RL, and inference share capacity without fighting over it
• Reliability at scale - detect and route around failing hardware automatically, before it costs us a training run
• Capacity strategy - plan with research what compute we'll need, and help decide what we buy, from whom, and when
• Utilization - measure what every GPU-hour produces, and keep raising it

Job description

Mirendil Inc. is building a frontier AI research company and seeking an engineer to orchestrate a large GPU fleet across many providers. You will influence how much compute goes to research by designing fleet bring-up, scheduling, reliability, and capacity strategies.

The role focuses on turning GPUs into a seamless, productive compute resource for researchers, with a base salary and meaningful equity depending on experience.