Member of Technical Staff, Distributed Systems Engineer
- 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
We have a lot of compute, and a lot more work for it. We’re looking for a Systems Engineer who knows how to find bottlenecks and move them somewhere we can live with. Your work determines how much goodput we get out of our compute. Some example areas you might work on:
- AI workload and system co-design - rethink the AI application, execution, and hardware choices together to improve performance across the stack
- Performance engineering - profile across the stack, find where time and resources go, and fix what matters
- Reliable distributed systems - design how work and data move across machines, balancing parallelism, communication, and correctness under load and failure
- Heterogeneous compute and workloads - make large-scale mixes of sandboxes, agent harnesses, training, and inference run efficiently together across CPUs and accelerators
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 29 Oct 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 29 Sept 2026 · checked 29 Oct 2026 · Report this job