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Experienced Verification Engineer - (AI/ML)

Arm Cambridge, England, United Kingdom

hybridfull-time
Posted Nov 6, 2025Apply by Dec 6, 2025

Role & seniority: Verification Engineer (multiple positions; suitable for a range of experience levels)

Stack/tools: RTL simulation; SystemVerilog; UVM; constrained random verification; coverage metrics; debugging; CI platforms; version control; C/C++ (microarchitectural models); familiarity with Arm architecture and AMBA protocols

Top 3 responsibilities

  1. Contribute to development and verification of ML/Neural Network hardware

  2. Influence verification strategy and methodology; own complex work packages

  3. Collaborate across global design centers to deliver Arm IP using advanced tools and methodologies

Must-have skills

  • Experience with simulation-based verification of RTL designs

  • Proficiency in SystemVerilog and UVM; constrained random and coverage-based verification

  • Strong problem-solving, debugging, and ability to apply complex specifications; collaborative, results-focused approach

Nice-to-haves

  • Team lead experience (planning tasks, estimates, mentoring)

  • Formal verification experience

  • C/C++ microarchitectural models; Arm architecture/AMBA familiarity

  • Requirements definition/management; CI pipelines and version control

  • Practical ML/NN knowledge

  • Location & work type: Hybrid working; global offices; flexible arrangements per role and local regulations

Full Description

Job Overview

Are you passionate about digital hardware verification? This is a fantastic opportunity to move into a team developing hardware to support Machine Learning and Artificial Intelligence, key technologies for the future of computing.

Working on the cutting edge of Arm IP, you will help craft technology to power next generation technology from mobile devices to data centers and more!

We have multiple positions available, suitable for candidates with a range of experience levels.

Responsibilities

Joining our growing and versatile team, you’ll contribute to the development and verification of groundbreaking ML and Neural Network hardware. Cooperating with colleagues across global design centers, you’ll drive meaningful projects and help deliver Arm’s next-generation IP using the most sophisticated tools and methodologies.

As a verification engineer, you will make a difference by influencing the verification strategy and methodology, taking ownership of complex work packages and driving them to success.

Required Skills And Experience

Experience of simulation based verification of RTL designs. Familiarity with constrained random verification, coverage metrics, checking methodologies, probably using SystemVerilog and UVM. Ability to apply complex specification detail . Curiosity to resolve ambiguities. Proficiency in problem solving and debugging. The interpersonal skills, to work well in a diverse team and a practical, result-focused approach.

Additional Qualities That Will Help Your Application Stand Out

Experience as a team lead, planning tasks, producing realistic effort estimates, mentoring and supporting team members. Formal verification experience. Experience with C/C++ microarchitectural models. Familiarity with Arm architecture and AMBA bus protocols. Experience in requirements definition and management. Experience with CI platforms and version control tools. Practical knowledge of machine learning and neural networks.

In Return

With offices around the world, Arm is a diverse organisation of dedicated, innovative and highly proficient engineers. You’ll share ideas with and learn new skills from some of the best engineers in the world!

As well as a friendly and high-performance working environment, Arm offers a competitive benefits package and a hybrid working approach.

Our 10x mindset guides how we engineer, collaborate, and grow. Understand what it means and how to reflect 10x in your work: https://careers.arm.com/en/10x-mindset

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Digital Hardware VerificationRTL DesignsSystemVerilogUVMProblem SolvingDebuggingTeam LeadershipFormal VerificationC/C++Arm ArchitectureAMBA Bus ProtocolsRequirements DefinitionCI PlatformsVersion ControlMachine LearningNeural Networksmulti-location

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