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Ifm Us

Machine Learning Engineer — GPU Kernel

Sunnyvale, CA

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hirly's read of this role

Role family
Data & ML
Seniority
Mid level
Stated salary
$150,000 – $450,000 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
5 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

About the Institute of Foundation Models

We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

The Role

The GPU Kernel Engineer will play a role at the forefront of optimizing performance for the machine learning software stacks, especially at training and inference, and support the team to develop new and cutting-edge systems. The ideal candidate will have a strong background in parallel computing, and hands-on experience in system level coding, debug methodologies, and large-scale machine learning experience.

This role focuses on CUDA kernel development and optimization. Distributed training experience is a plus.

Original posting on Ifm Us's site ↗

Listed on hirly, a job board. hirly is not the employer: Ifm Us is hiring for this role.

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