Member of Technical Staff, Compute
- Location
- San Francisco
- Work mode
- On-site
- Employment type
- Full-time
About the job
Mirendil
Mirendil is a tech-first company focused on solving core bottlenecks that unlock step-change acceleration across science and technology. Our first goal is to democratize frontier AI R&D across scientific disciplines. We are building a frontier AI research company and training our own models end-to-end.
The Role
Our research moves only as fast as our compute. We’re looking for an engineer who can turn a lot of GPUs across a lot of providers into one fleet that researchers never have to think about. Your work determines how much of our compute actually goes to research. Some example areas you might work on:
- 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
We offer a base salary of $300,000–$400,000 and a meaningful equity grant, depending on experience and background, along with competitive benefits.
From Mirendil's careers page (Ashby), checked 5 Nov 2026.
How to apply
- Select Apply on mirendil.com. It opens Mirendil's own application form in a new tab, run on Ashby.
- Fill in the form and upload your résumé there. Jobiwork never sees your application.
- Mirendil will reply to you directly. No real employer asks you for money to apply.
Posted 5 Nov 2026 · checked 5 Nov 2026 · Report this job