Job Overview:
This is a great 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. You will work with new technology, developing software which runs on many millions of Arm devices across different use-cases. The team develops Open-Source software which enables Machine Learning applications to run with high-performance on a wide range of Arm hardware platforms.
The Machine Learning Software Team are working in a critical and cutting-edge area for Arm, a groundbreaking environment to be working in.
You will be joining a welcoming team that provides great support to new members 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. As a senior member of the team, we will look for your input and leadership in forming and crafting the direction of the technology, our development process and flow, and the team itself overall. You will also have the opportunity to interact with and influence activities and technology across wider teams in Arm and the broader external Machine Learning Eco-System.
If this sounds like exciting opportunity, we look forward to receiving your application!
Responsibilities:
We are looking for someone with good interpersonal skills - in this role you will regularly share your work with wider teams within Arm. You have experience in leading the development of product features, taking a lead role in technical decision-making and collaborating with the wider team to implement and deploy.
Required Skills and Experience :
- University Degree (or equivalent experience) in Computer Science, Software Engineering or a related field.
- Strong experience developing on Linux or Android platforms.
- Strong C++ and Python development skills, and experience in a production environment.
- Experience working in an Agile team environment using continuous integration flows, including defining/building/optimising those flows.
“Nice To Have” Skills and Experience :
- Experience with Machine Learning Frameworks and approaches (for example, TensorFlow, TensorFlow Lite, PyTorch, or Inference Runtimes).
- Experience of working-in or contributing-to Open-Source projects.
- Experience in hiring, mentoring, and developing team members.
In Return:
We work directly with engineers across the company to craft next-generation hardware. Your work will have a direct impact on our bottom line and the ability to deliver improvements for our customers. All Arm employees are provided with vital training to succeed in their respective roles. We have flexible working hours and the opportunity for hybrid work. Our offices are outstanding places to collaborate. We offer a generous package and the scope and opportunity for you to craft the role, and grow and develop your wider skills within Arm.
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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 accommodations@arm.com. 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.