Edge ML Embedded Engineer (C++/ARM)

Arm

Cambridge

Hybrid

GBP 52,143 - 70,546

Full time

14 days+

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Job summary

Arm invites engineers to join its Strategy & Ecosystems group in western Europe. You will help developers run ML workloads on Arm processors for mobile, edge, and home devices, shaping how AI is deployed on constrained edge hardware.

We collaborate across regions with hybrid working while publishing work as technical blogs or open source code. Arm will cover employer sponsorship costs if needed; relocation is not offered.

Qualifications

  • Good programming skills in C++ and object-oriented programming.
  • Experience with ML frameworks such as ONNX Runtime or PyTorch/ExecuTorch.
  • A desire to help developers deploy ML workloads to constrained edge devices.

Responsibilities

  • We use our interpersonal and communication skills in direct contact with outstanding companies across multiple technology domains – we forge new paths and assist developers worldwide to follow in our footsteps, helping them to bring their visions to bear.
  • This is an excellent opportunity to contribute to the solutions powering the next generation of mobile applications, portable devices and home automation.

Skills

C++
OOP
ONNX Runtime
PyTorch/ExecuTorch
Edge ML deployment

Job description

Arm invites engineers to join its Strategy & Ecosystems group in western Europe. You will help developers run ML workloads on Arm processors for mobile, edge, and home devices, shaping how AI is deployed on constrained edge hardware.

We collaborate across regions with hybrid working while publishing work as technical blogs or open source code. Arm will cover employer sponsorship costs if needed; relocation is not offered.

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