Software Engineer in Machine Learning

Job ID 2024-11729 Date posted 03/12/2024 Location Galway, Ireland Category Machine Learning

This is a wonderful opportunity to join Arm’s Machine Learning Software team, based in our Galway office in Ireland, working with teams and projects across Arm’s worldwide locations. At Arm Galway, we are creating the next wave of ML software to enable billions of devices worldwide!

The successful candidate will be developing Open-Source software which enables Machine Learning applications to run with high-performance on a wide range of Arm hardware platforms.

As an Arm ML Software Engineer, you can anticipate joining a welcoming team that provides phenomenal support to new starters and builds opportunities for you to develop your skills across a range of technologies and roles within an Agile development environment. The team is open and collaborative, where you are encouraged to share your ideas and opinions to benefit the overall team.

Job Overview

As a software engineer you will work as part of one of our teams delivering machine learning on Arm devices. You will need to be creative, innovative, and enthusiastic about software. Our engineers build software enabling outstanding performance and low power designs.

We are looking for someone with a good understanding of computer architecture and how hardware and software interact, experience working in an Agile team environment using continuous integration flows, as well as effective communication skills - in this role you will regularly share your work with wider teams within Arm.

Responsibilities

Software engineers immediately start working on real project tasks with the help and mentorship of experienced engineers. Through teamwork, training and dedication to personal development, our goal is that every software engineer quickly starts contributing and develops into an expert in the field.

You will be working in a global, multicultural organisation, offering successful candidates the opportunity to be exposed to a wide variety of software and hardware.

Required Skills And Experience

• University Degree or equivalent experience in Computer Science, Software Engineering, or a related field.
• Experience building and releasing production systems.
• C++ and Python development experience.
• Experience developing on Linux or Android platforms.
  
  

“Nice To Have” Skills And Experience

• Experience with Machine Learning Frameworks and approaches (for example, TensorFlow or PyTorch).
• Experience of working-in or contributing-to Open-Source project.
• Familiarity with the basic concepts of neural networks.
  
  

In Return

Our offices are outstanding places to collaborate. We work in small teams, so your contributions will really make a difference. All Arm employees are provided with vital training to succeed in their respective roles.

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.