Experienced Hardware Verification Engineer - (AI/ML)

Job Title

Experienced Hardware Verification Engineer - (AI/ML)

Role Summary

The engineer will plan and implement verification for next-generation Arm ML and neural-network IP. The role focuses on SystemVerilog/UVM-based verification, collaborating with architecture and RTL teams to ensure functional correctness and deliver production-quality IP.

Work in a verification team in Lund, Sweden, supporting ML/AI hardware blocks and associated verification environments and automation.

Experience Level

Mid-level. (Experienced professional; years of experience not specified.)

Responsibilities

Key responsibilities include:

• Design and develop SystemVerilog/UVM testbenches and verification environments.
• Create and execute verification plans, testcases, and coverage strategies for ML/NN IP.
• Collaborate with RTL designers, architects and software teams to identify and resolve functional issues.
• Develop and maintain verification automation, regression flows and debug infrastructure.
• Analyze failures, track bugs, and drive closure of verification issues to meet quality targets.

Requirements

Must-have and preferred skills:

• Strong practical experience with SystemVerilog and UVM for IP-level verification.
• Experience verifying ML/AI or neural-network hardware is preferred.
• Familiarity with simulation tools, coverage-driven verification, and verification flows.
• Scripting skills for test automation (e.g., Python, Perl, Shell).
• Good debugging skills and experience working in cross-functional teams.
• Nice-to-have: experience with emulation/FPGAs, formal methods or performance verification.

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.