DevOps Engineer - Machine Learning

Job Overview

Join the Machine Learning DevOps team and help ML software teams adopt effective DevOps practices. You will contribute to the infrastructure, automation and services that support software development, including cloud enablement and management of shared physical-device test infrastructure. This is an opportunity to work closely with engineers on technologies that help power the next generation of computing.

Responsibilities

• Partner with Machine Learning software teams to understand their development and infrastructure needs and support the adoption of DevOps practices.
• Develop and maintain hybrid (Windows, Linux, MacOs, Android) infrastructure, automation and support services for software engineering workflows.
• Support multi-cloud enablement activities and board farm management for ML software development and testing.
• Improve continuous integration and continuous delivery workflows, containerised environments and operational documentation.
• Investigate infrastructure and tooling issues, communicate findings clearly and contribute to practical solutions with the wider team.
• Deploy, monitor and troubleshoot a pool of physical devices (Silicon boards and mobile handsets)

Required Skills and Experience

• Practical experience working with Linux systems and supporting engineering infrastructure.
• Understanding of DevOps principles and how they support reliable software delivery.
• Ability to write and maintain automation scripts using Bash, Python or a similar scripting language.
• Experience with CI/CD or containerisation technologies, such as Docker or Kubernetes, and the ability to collaborate clearly with technical colleagues.

Nice-to-Have Skills and Experience

• Experience building or maintaining software workflows using CI/CD tools.
• Interest in computer architecture, compilers or operating systems.
• Experience with low-level programming or debugging.
• Contributions to open-source projects or personal technology projects that demonstrate practical learning and problem solving.

In Return

You will work in a collaborative team where your ideas and contributions can make a tangible difference. The role offers the opportunity to develop your DevOps expertise while working with Machine Learning software teams on infrastructure and tooling that support future computing technologies. You will have scope to learn, share knowledge and help improve the ways teams build, test and deliver software.

Additional Information

Please note this role does not meet the eligibility requirements for sponsorship, and therefore the successful candidate must have the right to work in the Ireland without relying on sponsorship by Arm.

Our 10x Mindset

At Arm, we believe progress happens when people are empowered to think bigger and push beyond what seems possible. Our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. We learn fast, prioritise collaboration and turn bold ideas into real technology. We look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed. Discover how the 10x mindset shapes life at Arm: https://careers.arm.com/10x-mindset

Use of AI in Your Application

At Arm, we embrace the benefits AI can bring, including in recruitment. You may use AI to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. However, your application and interview responses must reflect your own thinking, experience, and abilities. We want to understand your authentic perspective, creativity, and approach to problem solving. As such, you may not use AI to complete assigned tasks as part of any assessments. If you plan to use AI-supported or assistive technologies as part of a reasonable adjustment, please contact [email protected] so we can support you.

Recruitment Adjustments and Accommodations

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email [email protected]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment 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

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

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.