Member of Technical Staff, Kernels
- 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 are looking for an engineer to design, implement, and optimize custom ML kernels that bolster our model development stack. Your work will be deep in the system, combining hardware and software insights to optimize performance. Some example areas you might work on (not limited to):
- Design and implement custom performant ML kernels that work at scale
- Identify inefficiencies and optimize compute-intensive workloads to reduce memory bandwidth bottlenecks and improve hardware utilization
- Enable and validate low-precision arithmetic formats and contribute to related compiler or runtime stacks
If you're excited about working at the intersection of hardware and frontier AI research, we'd love to hear from you.
We offer a base salary of $300,000–$400,000 USD 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 21 Oct 2026 · checked 29 Oct 2026 · Report this job