Principal Machine Learning Engineer

Job Overview:

In the Arm Central Technology Systems group we define SoC and system architectures and technology roadmaps across multiple sectors, including premium mobile, infrastructure, automotive and IoT.

We are looking for a performance expert to join and further strengthen this dynamic team.

We work in small teams, so your contributions will make a difference.

Responsibilities:

• Define SoC and subsystem performance and analysis requirements.
• Collaborate with other system architects, system designers, IP teams and analysis teams.
• Engage with specialists across Arm, from modelling, RTL, FPGA, Silicon and software
• Explore and challenge the limits of IP and system performance capabilities.

Required Skills and Experience :

• At least 4 years SoC architecture, SoC and/or SW performance analysis experience.
• Understanding of SoC micro-architecture and performance aspects such as cache hierarchy, memory access efficiency, quality-of-service, media & ML accelerators and key performance metrics.
• Strong desire to learn new skills, analyze and improve.
• Capable of working both in teams and independently.
• Able to work and communicate effectively at both a detailed and higher level.

“Nice To Have” Skills and Experience :

• Experience with working on pre-silicon platforms such as Models, RTL simulation, emulation or FPGA.
• Experience of the Arm architecture.
• University degree (or equivalent experience) or PhD in Electronic Engineering, Computer Science, Mathematics, Data Analytics or a related field.

In Return:

You will get to utilise your engineering skills to build support for the technologies and influence millions of devices for years to come. You will be able to drive and bring your ideas to a wider group of our leading authorities, build your technical leadership and influencing skills and build towards becoming an established and recognised authority within the existing team.

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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 . 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.

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