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ML Integration and Test Development Engineer
Summary by AIEngineer.careers
ML Integration and Test Development Engineer is a ML Infrastructure Engineer role (full-time). with Arm. in CAMBRIDGE, GB. Imported listing (source: careers.arm.com). Apply on the employer's site (careers.arm.com).
Imported listing (source: careers.arm.com) · Apply on careers.arm.com
CAMBRIDGE · GB
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from careers.arm.com
Join Arm's ML Engineering team to develop test infrastructure and optimize software for Machine Learning workloads on next-generation compute platforms. This role sits at the intersection of hardware and software, focusing on ensuring high-quality performance for AI solutions using Arm technology. You will work with C++ and Python to build automated testing flows, analyze performance, and integrate with ML frameworks like PyTorch.
Responsibilities
- Develop test infrastructure for fully automated test flows including functional and performance testing.
- Optimize C++ and Python software for Machine Learning workloads on Arm compute platforms.
- Analyze model execution to identify opportunities for performance and efficiency improvements.
- Collaborate with ML software and hardware engineers on ML compilation, runtimes, and drivers.
- Generate visualizations and reports for test results.
Requirements
- Strong professional experience in C++ development and complex software systems.
- Essential Python knowledge for software development, tooling, or automation.
- Practical experience with Machine Learning frameworks such as PyTorch.
- Experience with SW development or automated testing.
Arm
Cambridge · GB · 9584+ employees
Arm Holdings plc is a leading semiconductor and software design company that creates central processing unit (CPU) intellectual property (IP), graphics processing units (GPU), and neural processing units (NPU). Its technology forms the foundational compute architecture used globally in smartphones, cloud data centers, automotive systems, and IoT devices.
