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

Nominate & Attend

Senior/Staff/Principal Design Engineer - Media IP

ARM
Weston-super-Mare
7 months ago
Applications closed

Related Jobs

View all jobs

Principal Software Engineer

Principal Data Engineer

Senior/Staff Machine Learning Engineer

Junior Infrastructure Engineer - Telecoms

Senior Data Engineer

Senior Software Engineer C# - Near Edinburgh Hybrid

Job Overview

 

The Systems Media IP group is responsible for the development of Image Signal Processors (ISPs), Display Processors, and Video codecs for deploying within Arm Compute Subsystems for various end markets, including automotive, IoT, and client market segments. Our intellectual property encompasses RTL, reference drivers, tools, and libraries, enabling our customers to build upon our work to create innovative products!

 

We are currently looking for creative and enthusiastic design engineers to be part of a diverse team that constantly pushes the boundaries of power, performance, and area across our multimedia IP portfolio, while also generating designs that are robust, maintainable, and deliverable to the extraordinary quality our customers expect. This is a new team with plenty of opportunities to shape its future, and your own growth and career progression.

Responsibilities:

Depending on prior experience the responsibilities of the role can include:

  • Ownership of unit level development or multiple unit hierarchy or technical lead of an overall IP.
  • Design and test new hardware modules to implement innovative imaging algorithms and/or video codecs.
  • Engage in all aspect of hardware design including architectural investigations and modeling, specifications, design and simulation, backend implementation support and IP maintenance.
  • Identify cross Media IP process or methodology improvement opportunities, implementing changes to advance the hardware design efficiency.
  • Collaborate closely with colleagues in the verification teams, modelling teams, software driver developers, multimedia architects and imaging researchers.
  • Mentor & support other members of the team

Required skills and experience:

  • Experience in ASIC RTL design, ideally for Multimedia IP (ISPs, DPUs, VPUs) or related IP (CPU, GPU, interconnect, memory controllers, high-performance peripherals).
  • Proficiency in System Verilog, Verilog or VHDL.
  • Exposure to all stages of design: concept, specification, implementation, testing, documentation, and support.
  • Proficiency in UNIX and scripting languages such as TCL, Perl, Python, or shell scripting.
  • Prior technical and/or team leadership skills required for more senior positions.

'Nice to Have' skills and Experience:

  • Knowledge of advanced image processing algorithms, such as local tone mapping, noise reduction, motion estimation, transform coding etc or AI/ML based computer vision algorithms.
  • Experience of designing to meet industry standard protocols (e.g. AMBA interfaces, DDR specifications)
  • Experience of Functional Safety product development for the Automotive market (applying standards such as ISO 26262 and/or IEC 61508)
  • Programming language, such MATLAB, 'C' or C++
  • Experience with SystemVerilog Assertions (SVA) and Continuous Integration flows

In Return:

You will get to utilise your engineering skills to build multimedia technologies and influence millions of devices for years to come. You will be able to drive and bring your ideas to a wider audience, while building your technical leadership and influencing skills.

 

#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.

10 Machine‑Learning Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With deep‑learning projects now integral across healthcare, finance and tech, UK demand for machine‑learning talent is booming. Lightcast shows +50 % YoY growth in UK adverts referencing “machine learning,” “deep learning,” “computer vision” or “reinforcement learning” in Q1 2025. Monthly vacancies sit around 1,800–2,100, but certified ML specialists number fewer than 15,000. Specialist recruiters help candidates access hidden roles, competitive packages, and structured interview prep. How we screened: Only UK‑registered agencies with clear ML/AI or Data practices Agencies that posted ≥ 5 UK ML roles between March and June 2025

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.