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

Nominate & Attend

Senior Systems IP Verification Specialist (1 year relevant experience required)

ARM
Newton
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist (Recommender Systems)

Senior Data Scientist (Recommender Systems)

Senior FPGA Engineer

Senior Data Scientist

Senior Machine Learning Engineer

This position is an excellent opportunity for an experienced and highly motivated verification engineer to join the hardworking System IP team This is a fast-paced technical role employing the latest hardware design and 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. The Interconnect team develops the Arm Corelink Interconnect IP family. 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 processes and methodologies, then implement those changes to advance our best-practices and state of the art for hardware verification. The responsibilities of a member of the Verification team are: ● 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 debug ● There will be opportunities for improving our verification methodology and mentoring other members of the team ● Close collaboration with other Arm engineering teams leading to high quality IP that works well in a complete system. Required Skills and Experience: ● You can demonstrate experience in working with constrained-random verification including ownership of a suitably complex verification environment. ● You have experience of using SystemVerilog and UVM ● Proven software engineering skills including understanding of object-oriented programming, data structures, and algorithms. ● You are familiar with the tools and processes for developing testbenches and finishing all aspects of the verification process. ● 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 skills 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 build support for the 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 and build towards becoming an established and recognised expert within the existing team. LI-JC1 Accommodations at Arm At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email accommodationsarm.com. 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 groupsteams 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.

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.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.