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Staff Software Engineer - AI Compiler
Summary by AIEngineer.careers
Staff Software Engineer - AI Compiler is a AI Compiler Engineer role (full-time). with Arm. in CAMBRIDGE, GB. Compensation shown: $152K–$229K (est.). 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
$152K–$229K (est.)
Full-time
STAFF
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 Staff Software Engineer to join its Central Technology Machine Learning Group in Cambridge. The role focuses on designing and implementing AI/ML compilers, optimizing ML graph compilation, and integrating with Arm's hardware platforms for high-performance inference.
Responsibilities
- Design and implement AI/ML compiler components including model ingestion and low-level hardware programming
- Optimize memory allocation and performance for ML workloads on Arm platforms
- Collaborate with specialists across the company to integrate compiler technology into the broader ML software stack
- Drive complex problem solving and adapt to evolving AI infrastructure requirements
Requirements
- Strong programming expertise in C++ and Python
- Experience with the full software lifecycle from design to production support
- Deep knowledge of compiler technologies, specifically MLIR or TVM
- Ability to rigorously test software and design for testability
- Fluency in English and strong collaborative communication skills
Nice to Have
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.
