Senior Software Engineer - Machine Learning Tools

The world’s software is built on Arm technology, and as such it is essential that we meet developers where they work – ensuring that the best developer experiences are on Arm platforms and that the full power of Arm’s technology is easily available for those developers to consume.

Job Overview:

In the Developer Platforms group at Arm, our mission is to make software development on the Arm architecture simple and intuitive. We are growing our team and are looking for a passionate software engineer to help us build streamlined machine learning experiences for developers.

Our team solves a diverse set of developer challenges, delivering tools that support application distribution, toolchain setup and configuration, profiling and debug, and visualisation.

This is a unique opportunity to work on many different technologies in a group delivering tools across multiple platforms including desktop and browser.

Responsibilities:

Work as part of a diverse team to design, deliver and refine the tools and experiences required to support development on Arm processors

Work alongside peers and junior team members to solve technical problems, mentoring as necessary

Form effective relationships with other engineers, product managers and UX specialists to enable collaboration and best understand and empower our users.

Engage with our agile planning and development processes to help shape delivery of our products

Demonstrate quality through unit testing and continuous integration

Required Skills and Experience :

We are seeking an experienced engineer with the following skills:

Proven experience working with machine learning models and an understanding of their architecture, optimisation techniques, deployment and libraries/runtimes

Familiarity with the basics of modern, effective software development: source control, automated testing, object-oriented or functional paradigms and the Agile methodology.

A "get things done" attitude to shipping high-quality, robust software which is maintainable and responsive to evolving requirements.

A passion to push forward the state of the art in developer tooling by embracing new technologies and continuous innovation

“Nice To Have” Skills and Experience :

Any experience with the technologies listed below is beneficial, however, a desire to learn is far more valuable than experience in any tool, and we actively support ongoing training.

Experience working with an existing machine learning library codebase (e.g. PyTorch)

Strong Python or TypeScript skills, specifically around user interfaces

Continuous integration and delivery workflows including source control management, build systems, testing and deployment

Experience with Agile & UX design principles and processes

In Return:

You will join an established and experienced team working with innovative technologies in an agile environment which requires proactivity, dynamic approaches to problem solving and creative thinking.

You will work on greenfield software products which ship with new Arm hardware on day one.

Please provide a covering letter on application.
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Accommodations at Arm

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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