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Software Machine Learning Engineer
AArm
Summary by AIEngineer.careers
Software Machine Learning Engineer is a AI Infrastructure Engineer role (full-time). with Arm. in MANCHESTER, 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
MANCHESTER · GB
—
Full-time
SENIOR
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
Arm is seeking a Senior Software Machine Learning Engineer in Manchester to design and architect ML compilation technologies and framework software. The role involves developing kernel/user-space drivers, embedded software, and performance evaluation tools while collaborating closely with hardware teams for optimal system partitioning. You will lead larger work packages and mentor junior engineers in a fast-paced, innovative environment.
Responsibilities
- Develop and architect new features in ML compilation technology and framework software
- Work on kernel/user space driver stacks and real-time embedded software
- Lead larger work-packages and mentor junior engineers
- Collaborate with ML HW team for optimal system partitioning
- Perform test automation and performance evaluation
Requirements
- Strong programming skills in C, C++, and Python
- Experience with source control systems like Git, Gerrit, and Repo
- Proven track record in cross-team project development with milestones
- Familiarity with agile SW development, CI/CD, and Test Driven Development (TDD)
- Strong analytical skills and ability to solve sophisticated problems
Nice to Have
A
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.
