High-Performance AI Intern — ML, Kernels & Inference (On-site)

Tenstorrent; Santa Clara (CA); On-site; USD 69,000 - 96,000; Part time

Job summary

Tenstorrent is offering an on-site internship opportunity across multiple teams, including Kernels, Models, Inference, Scale-Out, Runtime, and Compiler & Infra. You will work on high-performance kernel development, model optimization, and deployment strategies for AI workloads on Tenstorrent hardware.

The program targets students pursuing BS, MS, or PhD in CS/CE/Physics/Math with a focus on parallel processing, ML, or distributed systems.

Qualifications

• Pursuing BS, MS, or PhD in a related field.
• Experience with ML frameworks and model deployment.
• Familiarity with high-performance GPU/CPU programming.

Responsibilities

• Develop high-performance kernels for Tenstorrent hardware.
• Optimize ML models for hardware execution and efficiency.
• Collaborate across Kernels, Models, Inference, Scale Out, Runtime, Compiler & Infra teams.

Skills

Kernel optimization

High performance coding

Parallel processing

End-user ML intuition

Education

BS/MS/PhD in CS/CE/Physics/Math

Tools

PyTorch

CUDA

Python

Job description

Tenstorrent is offering an on-site internship opportunity across multiple teams, including Kernels, Models, Inference, Scale-Out, Runtime, and Compiler & Infra. You will work on high-performance kernel development, model optimization, and deployment strategies for AI workloads on Tenstorrent hardware.

The program targets students pursuing BS, MS, or PhD in CS/CE/Physics/Math with a focus on parallel processing, ML, or distributed systems.