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About the role
We are seeking a highly motivated Research Engineer Intern to work on Trainium, GPU kernels, and LLM systems optimization. Over a 12–16 week internship, you will own a well-scoped project at the intersection of AI Systems, Compiler and Runtime Optimization, Distributed Training & Inference, GPU/Accelerator Kernel Development, and Large Language Model Infrastructure — taking it from design to working, profiled code running on real hardware.
More about this role
Type: Internship
Company: Yotta Labs
Apply: careers@yottalabs.ai
🧠 About Yotta Labs
Yotta Labs is building the next generation multi-silicon AI cloud and runtime platform to power the world’s most demanding AI workloads. We enable training and inference across NVIDIA GPUs, AMD GPUs, and AWS Trainium, helping AI companies achieve the best performance and economics across heterogeneous hardware. Our mission is to provide high-performance AI computing and Model API services, enabling AI companies, research labs, and enterprises to train, deploy and integrate cutting-edge models at scale.
🛠️ Role Overview
We are seeking a highly motivated Research Engineer Intern to work on Trainium, GPU kernels, and LLM systems optimization. Over a 12–16 week internship, you will own a well-scoped project at the intersection of AI Systems, Compiler and Runtime Optimization, Distributed Training & Inference, GPU/Accelerator Kernel Development, and Large Language Model Infrastructure — taking it from design to working, profiled code running on real hardware. Your work will ship to production or open source and directly impact the performance of AI applications deployed on our platform. Strong interns...
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