Software Engineer within ML

Job ID 2024-11661 Date posted 30/10/2024 Location Cambridge, United Kingdom; Lund, Sweden Category Machine Learning

Job Overview

Arm is seeking a highly motivated and creative Software Engineer to be based in either Lund (Sweden) or Cambridge (UK) to join a software development team working on Machine Learning compilers, predominantly in C++.

The software we develop is what enables neural networks to be deployed on both present and future hardware, making the most out of every cycle and every milliwatt.

Responsibilities

As a software engineer, contributing to the design and implementation of a machine learning compiler. Taking ownership of your tasks and sharing collective responsibility for the success of the project.

As a member of a self-organising scrum team, applying agile methodologies to plan, implement and deliver on time, quality software.

As a hybrid worker (40% in office) and part of a cross-site team, engaging with your colleagues both virtually and in person. We expect you to be capable of working independently, or in small groups, with a high degree of initiative. Be collaborative and relatable as well a good communicator, able to discuss your work at an appropriate level of detail for your audience. And you need to be proficient in English language, both written and spoken.

Required Skills And Experience

The software you create will be dealing in both sophisticated abstractions and fine-grained detail. We therefore expect from you

• Strong problem solving abilities
• Constant and compelling desire to improve
  
  

We set ourselves high engineering quality standards. You will therefore need an understanding of

• Programming, particularly C++ but also scripting languages such as Python
• The software lifecycle, from feasibility through to production and support
• How to rigorously test software and design software for test
  
  

“Nice To Have” Skills And Experience

Exposure to any of the following

• Compiler development
• Low-level hardware interactions
• Neural Network Processing Units (NPU) or Graphics Processing Units (GPU) and how they are used for ML.
  
  

In Return

At Arm, you will enjoy working in a highly stimulating and supportive workplace. We work closely with other software, hardware and system teams across the company. You will have a chance to share ideas with and learn new skills from the best engineers in the world.

Arm offers a generous benefits package including sabbatical leave, private medical insurance, supplementary pension and wellness benefits. We have a hybrid working approach where we offer people the flexibility to work part of their time from home.

Accommodations at Arm

At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email

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.