Embedded ML Compiler Engineer for Edge Devices

Arm

Cambridge

Hybrid

GBP 61,000 - 83,000

Full time

14 days+
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Job summary

Arm is seeking an enthusiastic engineer to help advance the next generation of ML-enabled edge devices. You will contribute to embedded software, compilers, and Arm IP, delivering features in small, dynamic teams.

The role emphasizes ownership, collaboration, and ongoing learning in a hybrid setup with flexible patterns. A technical degree and strong C/C++ plus Python skills are expected.

Qualifications

  • Embedded software development experience (Bare-metal/RTOS/drivers).
  • Proficient in C/C++ and Python; strong debugging skills.
  • Knowledge of compiler fundamentals and hardware pipelines.
  • Excellent communication and teamwork in diverse groups.
  • Degree or equivalent experience in ML, CS, EE, or Physics.

Responsibilities

  • Design, develop, debug and deliver features for Arm IP in an agile environment.
  • Take ownership of specific code areas and contribute across the product.
  • Collaborate with cross‑functional teams to meet goals and deadlines.
  • Contribute to continuous improvement and deployment practices.

Skills

Embedded SW
C/C++
Python
Analytical skills
Communication
Compiler fundamentals
Hardware knowledge
Machine Learning basics

Education

Technical Degree or Industry experience (ML/CS/EE/Physics)

Tools

Version control systems
Code review platforms

Job description

Arm is seeking an enthusiastic engineer to help advance the next generation of ML-enabled edge devices. You will contribute to embedded software, compilers, and Arm IP, delivering features in small, dynamic teams.

The role emphasizes ownership, collaboration, and ongoing learning in a hybrid setup with flexible patterns. A technical degree and strong C/C++ plus Python skills are expected.

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