Staff Design Engineer

ARM
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist/ Software Engineer

Staff Machine Learning Engineer

Senior Staff Engineer (Machine Learning) - 45391

Senior Staff Engineer (Machine Learning) - 45391

Senior Staff Engineer (Machine Learning) - 45391

Senior Staff Engineer (Machine Learning) - 45391

Arm designs the technology that lies at the heart of advanced digital products, from wireless, networking and consumer entertainment solutions to imaging, automotive, security and storage devices.

Job Overview:

The ISP group designs image processors and similar technology for markets including automotive, drones, teleconferencing and surveillance. Our intellectual property includes RTL, reference drivers, tools and libraries enabling our customers to build on top of our work to create new and innovative products!

 

ISP engineers have responsibilities that cover all areas of design and verification: working closely with customers, architectural design and modelling, writing specifications, design and simulation, verification of functionality, generation and maintenance of designs!

Responsibilities:

You will design and implement new hardware modules to efficiently implement image processing algorithms and will improve existing designs to increase performance, quality and power efficiency. You will also identify areas for improvement in processes and methodologies, then implement those changes to advance our best-practises and state of the art for hardware design.

Required Skills and Experience:

  • Experience of ASIC RTL design, preferably for microprocessor based systems, processor design (CPU, GPU or ISP) or related IP (interconnect, memory controllers, high-performance peripherals)
  • Experience of Verilog, System Verilog or VHDL
  • Exposure to all stages of design: concept, specification, implementation and testing, documentation and support
  • Able to work with a high level of independence and as part of a team.
  • Use of UNIX and TCL/Perl/Python/shell scripting

Nice to Have Skills and Experience:

  • Experience/understanding of image processing functions
  • 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++
  • Design techniques for low power
  • Writing formal properties to express intent, such as SVA

In return:

You will get to utilise your engineering skills to develop state of the art image processing functions for multiple applications including Automotive, where our high performing ISPs improve both driver experience and the performance of computer vision applications. You will be able to bring your ideas to a wider group of our leading experts, develop your technical leadership and influencing skills and build towards becoming an established and recognised expert within our existing 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.

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.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.