Senior/Staff/Principal Design Engineer - Media IP

ARM
Manchester
4 months ago
Applications closed

Related Jobs

View all jobs

Senior Principal Data Scientist, NLP

Principal Data Scientist - Operational Research, Simulation & ML

Senior/Staff Machine Learning Engineer

Senior/Staff Machine Learning Engineer

Machine Learning Engineer

Machine Learning Manager

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.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.