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Arm

Machine Learning Architect

Cambridge
Posted 1 day ago
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Job ID: 2024-11994
Date Posted: 11/07/2026
Location: Cambridge, United Kingdom
Category: Architecture

Job Overview

High-performance ML workloads on Arm CPUs requires the co-development of algorithms and highly optimized CPU kernels. In CT-ML (Central Technology, Machine Learning), rapid kernel prototyping is crucial for exploring algorithms and assessing trade-offs between model accuracy and performance. Successful prototypes are essential to drive future CPU architecture development and also deliverables to Central Engineering for final production.

Responsibilities

  • This position is part of a dedicated team within the CT-ML group to focus on analyzing ML workload, rapid prototyping of highly optimized CPU kernels to drive model performance and accuracies.

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Required Skills And Experience

  • Strong interest and passion for implementing high-performance kernel code in a dynamic environment.
  • 4+ years experience in implementing high performance CPU kernel with vector and matrix extensions.
  • Experience measuring and understanding performance.
  • Experience in creating an efficient kernel code development framework including tools and testing.
  • Deep understanding on CPU architecture.

“Nice To Have” Skills And Experience

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  • Knowledge of ML models and algorithms is a plus.
  • Advanced degree or equivalent experience in Computer Architecture and Software are a plus.

In Return

Arm is committed to global talent acquisition, offering an attractive relocation package. With offices around the world, Arm is a diverse organization of dedicated, creative and highly talented engineers. By enabling a dynamic, inclusive, meritocratic, and open workplace, where all our people can grow and succeed, we encourage our people to share their unrivaled contributions to Arm's success in the global marketplace.

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Skills

CPU Kernel Implementation
Vector Extensions
Matrix Extensions
Performance Measurement
CPU Architecture
ML Models
ML Algorithms
Kernel Code Development Framework

Location

Cambridge, England, United Kingdom

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