Member of Technical Staff, Kernels
Company websitemirendil.com (Mirendil, opens in new tab)
Base salary $300K to $400K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (4 min ago) · observed since
About this 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.
Source: Mirendil on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($300,000) is above 98% of the 12,897 Software Engineering roles nationwide listed on this site; 24 others list the same floor. Their median floor is $160,000; the middle half runs from $136,300 to $191,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingMember of Technical Staff, Kernels$300K to $400K
Member of Technical Staff, Infrastructure$300K to $400K
Member of Technical Staff, Post-Training, RL Infra$300K to $400K
Member of Technical Staff, Security Engineer$300K to $400K
Member of Technical Staff, Pretraining$300K to $400K
Member of Technical Staff, Model Evaluation$300K to $400K
Member of Technical Staff, Post-Training, RL$300K to $400K
Chart as a table
| Role | Published base |
|---|---|
| Member of Technical Staff, Kernels (this listing) | $300K - $400K |
| Member of Technical Staff, Infrastructure | $300K - $400K |
| Member of Technical Staff, Post-Training, RL Infra | $300K - $400K |
| Member of Technical Staff, Security Engineer | $300K - $400K |
| Member of Technical Staff, Pretraining | $300K - $400K |
| Member of Technical Staff, Model Evaluation | $300K - $400K |
| Member of Technical Staff, Post-Training, RL | $300K - $400K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-21
Where this pay comes from
Location as the employer wrote it: San Francisco
We offer a base salary of $300,000–$400,000 USD and a meaningful equity grant, depending on experience
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.