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Member of Technical Staff, Kernels
Mirendil
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About this role
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 believe accelerating scientific discovery is one of the most powerful ways to improve the future of humanity, and that AI will play a central role in making that possible.
We are building a frontier AI research company and training our own models end-to-end. Our work spans areas such as model training, reinforcement learning, reasoning systems, and infrastructure for large-scale experiments. Our team includes researchers and engineers from Anthropic, Google DeepMind, xAI, OpenAI, Microsoft, Apple, and MIT.
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.
Salary insight
The midpoint of this range ($350k) is about 75% above the median disclosed salary for San Francisco roles listed on ForgeApply ($200k across 8,773 jobs).
Based on live postings with disclosed pay on ForgeApply; refreshed daily. Not an estimate of this employer's offer.
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