MirendilMember of Technical Staff, Kernels
Mirendil is hiring a Member of Technical Staff, Kernels in San Francisco, United States. It pays $300k a year and Level rates it ; you can apply on Mirendil.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions CUDA, C and Assembly among its tools and skills.
- Level classes it as a lead role.
- Mirendil has 14 other open roles on Level.
AI in this role
Design, implement, and optimize custom machine learning kernels for hardware and model development stacks.
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.
How we rate this
Member of Technical Staff, Kernels at Mirendil rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a research question you investigated. What did you find?
- Tell me about a project where gpu optimization was part of your work. What did you do?
- Tell me about a project where kernels was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where compilers was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Research, GPU Optimization, Kernels, Machine learning, and Compilers. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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