Software Engineer - AI Frameworks

ARM
Bolton
1 year ago
Applications closed

Related Jobs

View all jobs

Software Engineer III - MLOps

Software Engineer, Applied Artificial Intelligence (AI)

Software Engineer, Applied Artificial Intelligence (AI)

Software Engineering Manager – Machine Learning

Lead Software Engineer - MLOps

Research Software Engineer: Geospatial Artificial Intelligence (Geo-AI)

Are you an enthusiastic and motivated engineer who wants to be part of a team building the future of AI on Arm?

 

Job Description:


The world's AI compute needs are accelerating and Arm is growing rapidly in the cloud. We work at the intersection of the two where the impact is global and open to all.

 

You will join a diverse, dedicated and inclusive group from all over the world based in Arm's modern offices in the vibrant city of Manchester. You will contribute directly to open source AI software projects, enabling them to use the full potential of Arm's line of Neoverse™ cores. Together with teams from across Arm, the open source community, and our partners you will be accelerating AI for the worlds most pervasive architecture.

 

We work on the full stack, from the high-level user interfaces, to graph compilers, libraries, and assembly; we encourage everyone in the team to get involved in all parts. Our team has a wide remit, but we are all aligned on a common goal. We trust and empower our team with the autonomy to identify and solve problems without silos and with the support of their team mates.

 

Key skills and experience:


We're looking for people who are motivated to learn, we will support your growth. You don't need all of these to be successful!

  • Strong software engineering and programming skills, preferably C++ and Python.
  • Eager to dive into new and unfamiliar codebases to debug issues and look for performance opportunities.
  • Familiarity with Linux development environments.
  • A degree in a computational or numerate subject, or equivalent experience.


Additional skills and experience of interest:

  • Experience with AI/ML frameworks and libraries: PyTorch; TensorFlow; ONNX; oneDNN etc.
  • Experience in scientific and numerical computing, or data science.
  • An understanding of parallel programming.
  • Practical experience with assembly, particularly Arm SIMD (Neon™, SVE, SME etc.).


Some of these key interpersonal strengths:

  • Strong and clear communication skills.
  • Experience delivering technical work involving multiple contributors.
  • Contributing to open source projects.


In Return:


You will receive an attractive reward package with generous stock awards. We also know that people do their best work when they feel rested and psychologically safe, so we have a progressive leave policy including generous parental leave, days of care and 4 weeks of sabbatical every 4 years. We are flexible on working hours, and allow hybrid working. We strive to provide an open and accepting environment where you are encouraged to share your ideas and opinions; which enables collective innovation and creativity, and supports your professional and personal growth.

 

#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.