Senior Developer Relations Engineer

ARM
Ely
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Data Scientist Research Engineer

Data Engineering & Data Science Consultant

Senior Credit Data Scientist

Junior / Graduate Data Scientist

Staff / VP, Data Scientist (UK)

Job Overview:

Arm is building the future of computing, together, for everyone. Our technology can be found wherever computing happens - from the tiniest sensor to smartphones, laptops, networking equipment, automotive, robotics to the largest server.

Are you an experienced software engineer with a passion for problem-solving and a desire to engage with a diverse range of developers across our ecosystem?

As a Senior Developer Relations Engineer in our growing team, you will be helping to solve technical challenges for our partners and ensuring their developers are getting the best from Arm's technologies and tooling.

Responsibilities:

  • Build and maintain strong working relations with software developers, driving and recording conversations that matter.
  • Work directly with software partners to understand their goals and issues, and help provide solutions.
  • Collaborate on partner solutions with internal experts, particularly within our performance tools, graphics and machine learning teams.
  • Perform hands-on development when required, to reproduce partner issues and engineer proof-of-concept solutions.
  • Learn about new technologies relevant to our software partners.

Required Skills and Experience:

  • Excellent communication skills: able to express ideas and connect with internal teams, external partners and the wider developer community.
  • Strong technical understanding of computing fundamentals: comfortable debugging and solving performance issues with relevant tools.
  • Demonstrable working knowledge of C/C++: able to write, maintain and debug code.
  • Experience in developing software solutions for Android or Linux.

“Nice To Have” Skills and Experience:

  • Familiar with the Arm architecture.
  • Experience with machine learning, graphics APIs and game engines such as Unity and Unreal.
  • Exposure to agile teams or projects with a focus on releasing user value early and continuous improvement.

In Return:

Become a key representative of the developer ecosystem across Arm and use your engineering skills to contribute to the success of our partners' projects. Join a friendly working environment and receive a very competitive benefits package including private medical insurance, sabbatical, supplementary pension, and wellness benefits. All Arm employees are provided with vital training to succeed in their respective roles, and we offer a hybrid approach to home and office working.

 

#LI-JB1

 

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 AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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.