Arms Machine Learning (ML) Group is seeking a highly motivated and creative
Software Engineer to join and lead a growing team of brilliant engineers
located in Cambridge, UK specialising in ML frameworks and compilers.

This role presents an opportunity to contribute to sophisticated ML technology
supporting Arms ML Hardware. You will help to build the software that enables
development of deep learning applications in many ground-breaking fields
including self-driving cars, generative AI engines and ML-powered wearables.

## Job Description:

The ML Tooling team is looking for a software engineer with line management
experience who can build a range of innovative compiler solutions for a
variety of markets.

You will apply your experience and insight to craft and optimise compilers for
machine learning networks that target Arm’s CPUs, GPUs and NPUs.

##Responsibilities:

* Contribute to deliver production-grade software and push the boundaries of Machine Learning compilation
* Recruit, develop, support and retain your engineers working as part of a larger team
* Build, extend and collaborate on innovative ML compilation software projects, such as TensorFlow, PyTorch, TOSA and the broader MLIR ecosystem
* Work with other groups in Arm to expand support for Arm architecture and ecosystem

##Required skills and experience:

* A passion for software development and quality
* Line management of a small team (4-8 engineers)
* Proven experience with C++, understanding of Python is a plus
* Experience with the full software development lifecycle - planning, designing, developing, testing, delivering, and maintaining production-quality software
* Experience with or interest in compilers
* Desire to learn new skills and technologies and work in a highly motivated team
* High degree of initiative and problem solving skills
* Ability to own teams delivery and lead others on large or more sophisticated tasks
* Excellent communication skills.

##Nice to have skills and experience:

* Experience with contributing to open-source projects and working with a broader open-source community
* Knowledge or curiosity about computer vision, machine learning, their applications and frameworks
* Experience with Linux and scripting languages, such as shell-scripting

##In Return:

On top of the already compelling [Life at Arm](https:careers.arm.comlife-
at-arm), we offer strong team culture, learning opportunities, regular career
conversations, emphasis on diversity, equity and inclusion and a continuous
improvement approach.

#LI-JB1

##Accommodations at Arm

At Arm, we want our people toDo Great Things. If you need support or an
accommodation toBe Your Brilliant Selfduring the recruitment process,
please email . 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
groupsteams 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.