Experienced System Test Engineer (AI/ML)

Job Title

Experienced System Test Engineer (AI/ML)

Role Summary

Work on system-level verification and validation for next-generation neural network hardware accelerators. You will design and operate emulation- and simulation-based test environments, drive verification strategy, and deliver test infrastructure to support bring-up, debug, feature validation, and system validation.

The role is part of a distributed team collaborating with architecture, design, verification, and software groups across multiple global design centres.

Experience Level

Mid-level (experienced). The posting does not state explicit years-of-experience guidance.

Responsibilities

Primary responsibilities include developing and executing system tests, improving emulation workflows, and supporting silicon bring-up and validation.

• Design, build, and maintain system test automation and test harnesses for AI/ML accelerators.
• Create, run, and debug test cases on simulation and emulation platforms; track results and failures.
• Develop and operate advanced emulation environments to support bring-up, debug, feature and system validation.
• Diagnose simulation/emulation mismatches and support root-cause analysis during bring-up.
• Collaborate with architecture, design, verification, software teams and EDA vendors to resolve tool issues and introduce capabilities.
• Define verification strategy for assigned work packages and take ownership to delivery.
• Plan tasks, estimate effort, and manage progress against schedules.

Requirements

Concise list of must-have and helpful skills. Education is not specified in the posting.

• Proven experience specifying, creating, and debugging system-level test environments and authoring test cases.
• Hands-on experience with emulation platforms such as ZeBu, Palladium, or Strato.
• Familiarity with RTL languages (SystemVerilog/Verilog).
• Experience working with EDA vendors to resolve tool issues and add capabilities.
• Strong attention to detail and ability to produce realistic effort and time estimates.

• Experience with requirement definition and management, UVM-based environments, CI platforms, and version control (Git).
• Scripting skills for automation and diagnostics (Python, Perl).
• Experience with software testing of embedded devices, practical knowledge of machine learning and neural networks.
• Experience in efficiency tuning and performance analysis for large-scale emulation systems.

Education Requirements

Not specified.

About the Company

Company: Arm

Headquarters: Cambridge, United Kingdom

ARM is a global leader in semiconductor and software design, driving innovation in computing technology. The company specializes in designing processors and systems that provide the essential building blocks for electronic devices. ARM's architecture is widely used in smartphones, servers, and IoT devices, and its collaborative culture fosters bold thinking, diversity, and high-impact benefits for its talented workforce.