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Graduate ML Hardware Verification Engineer

Arm
May 20, 2026
Full-time
On-site
Lund, Skåne County, Sweden
Verification Jobs, Level - Entry or Early Career

Job Title

Graduate ML Hardware Verification Engineer

Role Summary

Work on design, testing and validation of next-generation machine-learning hardware. Part of a global verification team responsible for developing verification plans, tests and tools to ensure correctness and performance of ML accelerators.

This is a graduate role focused on learning and contributing to verification flows in a fast-paced engineering environment.

Experience Level

Entry-level / Graduate. Suitable for recent graduates or early-career engineers.

Responsibilities

Typical responsibilities include:

  • Design and execute hardware verification tests for ML accelerators.
  • Develop and maintain verification environments and automated testbenches.
  • Analyze failures and work with design teams to debug and resolve issues.
  • Build and improve verification tools and automation to increase efficiency.
  • Collaborate with global teams and mentors to grow skills and integrate feedback.

Requirements

Core expectations for candidates:

  • Practical interest in hardware verification, digital design, or computer architecture.
  • Basic programming or scripting ability (for test automation and debugging).
  • Strong collaborative and learning mindset to work in distributed teams.
  • Good problem-solving and debugging skills.

Nice-to-have:

  • Experience with verification tools, simulation environments, or hardware description languages.
  • Previous internship or project experience in hardware verification or ML 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.

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Date Posted: 2026-05-19