National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Verification Engineer

ARM
Ely
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Up to £150k

SENIOR RESEARCH ASSOCIATE (DATA SCIENCE) (LONDON)

Senior Data Scientist

Senior Data Scientist (Viator)...

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Job Overview:

This position is an excellent opportunity for an experienced and highly motivated verification engineer to join the growing System IP team!This is a fast-paced technical role employing the latest hardware design verification methodologies to develop complex and highly configurable hardware IP that sit at the heart of Arm-based Systems!

 

This role is for the Interconnect product team which develops the Arm Corelink Interconnect IP products. Our Interconnects and NoCs are designed for intelligent connected systems across a wide range of applications including mobile, IoT, networking infrastructure, automotive etc. The highly scalable IP is optimised for AMBA-compliant SoC connectivity and can be customised for multiple performance points.

Responsibilities:

You will specify and develop new hardware verification testbenches for future generation hardware IP. You will improve existing testbenches to increase performance, quality and efficiency. You will also identify areas for improvement in methodologies and implement those changes to advance our best-practises for hardware verification.

  • Reviewing and assessing proposed design changes from a verification complexity point of view
  • Ownership of verification environment from investigation all the way to verification closure
  • Investigating and scripting new verification flows and optimising existing ones
  • Analysis of data from simulation runs using machine learning and data science techniques to drive efficient bug discovery and coverage closure
  • There will be opportunities for improving our verification methodology collaborating with arm engineering teams
  • mentoring members of the team
Required Skills and Experience:
  • Can demonstrate experience in working with constrained-random verification including ownership of complex verification environment.
  • Experience of using SystemVerilog and UVM
  • Proven software engineering skills including understanding of object-oriented programming, data structures, and algorithms.
  • You are competent developing verification flows, making the best use of EDA tools and have good scripting skills and are able to plan and estimate your own work.
'Nice To Have' Skills and Experience:
  • Team leadership and mentoring experience
  • Multiprocessing microarchitecture experience including knowledge of cache coherence and bus protocols (e.g. AMBA5 CHI, AMBA4 ACE or AXI)
  • Experience in Formal Verification testbenches is a plus.
  • Strong communication and ability to work well as part of a team.
  • Dedicated with a focused approach to problem analysis and solving.
In return:

You will get to utilise your engineering skills to develop technologies and influence millions of devices for years to come. You will be able to drive and bring your ideas to a wider group of our leading experts, build your technical leadership and influencing skills towards becoming an established and recognised expert within the team.

 

#LI-JC1

 

 

 

Accommodations at Arm

At Arm, we want our people toDo Great Things. If you need support or an accommodation toBe Your Brilliant Selfduring the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation 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.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.