Staff Design Engineer

ARM
Ely
1 year ago
Applications closed

Related Jobs

View all jobs

Staff Data Engineer

Staff Data Engineer

Senior Staff Data Engineer

Lead MLOps Engineer

Data Engineer (18 Months FTC)

Senior Data Engineer (AWS, Airflow, Python)

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.