ML Embedded Software Engineer

Camwebdir; United Kingdom; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Arm’s Strategy & Ecosystems group is seeking engineers to illustrate how to run AI workloads on edge devices with practical examples and demos.

You will work with developers across regions, contributing to mobile applications and home automation solutions while leveraging ML frameworks and C++ skills to craft efficient, portable solutions.

Qualifications

• Good programming skills with C++ and OOP.
• Experience with ML frameworks (ONNX Runtime, PyTorch, ExecuTorch).
• Desire to help developers deploy ML workloads to constrained edge devices.
• Several years of relevant engineering experience.

Responsibilities

• Represent Arm’s AI capabilities to developers and customers through clear communication and demonstrable solutions.
• Collaborate with cross-functional teams to create edge ML deployment examples.
• Contribute to mobile, portable devices, and home automation projects with practical ML workloads.

Skills

C++

OOP

ML frameworks

Edge deployment

Engineering experience

Tools

ONNX Runtime

PyTorch

ExecuTorch

Python

Job description

Job Overview
Arm's Strategy & Ecosystems group is hiring in western Europe! Want to help show developers the AI capabilities of efficient, next-generation edge devices? If so, we should talk!

We are a diverse team of hardworking problem solvers located across multiple countries and our flexible working practices enable us to collaborate efficiently across our different regions. We develop examples that we share with the world to highlight the frameworks and techniques available to developers seeking to run AI on Arm.

Responsibilities:
We use our interpersonal and communications skills in direct contact with outstanding companies across multiple technology domains - we forge new paths and assist developers the world over to follow in our footsteps, helping them to bring their visions to bear.

This is an excellent opportunity to contribute to the solutions powering the next generation of mobile applications, portable devices and home automation.

• Good programming skills - preferably C++ and OOP
• Experience of ML frameworks such as ONNX Runtime or PyTorch/ExecuTorch
• A desire to help developers deploy ML workloads to constrained edge devices
• A few years' relevant engineering experience

"Nice to have" abilities and knowledge:

• Experience with Cortex-M or low-power Cortex-A Arm CPUs
• Python programming experience

In Return:

In return, the successful candidate will get to influence the next wave of developers on how best to deploy Machine Learning workloads on Arm processors. You'll have the chance to interact with a wide range of engineers from prospective Arm customers through to members of the Arm ecosystem. Your work will be published widely, whether as technical blogs or open source code repositories.

Please note that no relocation package is available for this role. If skilled worker sponsorship is required, Arm will meet costs associated with sponsorship for the employer only. All fees associated with the individual's application e.g. visa application fee and Immigration Health Surcharge, will be the responsibility of the successful candidate.

Accommodations at Arm

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 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.