Role Mission
Arm is helping shape the future of AI and compute across semiconductor design, edge intelligence, cloud infrastructure, embedded systems, physical AI, and connected devices.
Arm Workforce Development builds technical capability across markets, partners, and institutions working with Arm-based AI and compute technologies.We are seeking a Principal AI & Compute Engineer, Workforce Development to define the technical spine for Workforce Development programs in AI and compute.
You will shape the pathways, standards, labs, and specialist inputs needed to build sustained Arm-based capability across markets.The role spans Arm-based compute, SoC design, computer architecture, AI hardware, embedded systems, hardware-software co-design, platform design, and systems performance. It calls for deep credibility in at least one major Arm-relevant domain, broad systems awareness across adjacent areas, and the judgment to know where deeper expertise is needed.What you’ll do
- Provide technical leadership for Workforce Development programs focused on AI and compute on Arm.
- Define technical pathways across Arm-based SoC design, computer architecture, embedded systems, AI hardware, hardware-software co-design, platform design, and systems performance.
- Define technical audiences, entry requirements, capability outcomes, labs, practical activities, and acceptance criteria.
- Identify what can be reused, adapted, created, commissioned, or validated, and write technical briefs where specialist input is needed.
- Work with engineering teams, technical specialists, partners, and institutions to shape priorities and build technically credible solutions.
- Review technical assets, labs, and source content to ensure they are credible, reusable, technically sound, and aligned to Arm technologies.
- Provide technical judgment on where Workforce Development can credibly deliver and where deeper Arm expertise is needed.
What you’ll bring
- Strong engineering background with demonstrable experience in Arm-based technologies such as Arm architecture, Cortex processors, SoC design, embedded systems, Arm development tools, or hardware-software co-design.
- Deep technical credibility in at least one Arm-relevant domain, with enough breadth to work across adjacent areas such as platform software, AI hardware, cloud AI infrastructure, semiconductor design, or performance optimization.
- Understanding of practical workflows for Arm-based systems, including toolchains, debugging, profiling, simulation, emulation, FPGA prototyping, lab environments, or platform bring-up.
- Awareness of SoC and AI compute concepts, including IP integration, verification, EDA flows, inference performance, benchmarking, and workload characterization.
- Experience shaping technical programs, applied labs, capability frameworks, industry-linked pathways, or technical workforce development initiatives.
- Strong judgment, written communication, and the ability to create structure from ambiguity in a developing function.
- Degree in a relevant subject such as Electronic Engineering, Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or equivalent technical experience.
Desirable experience
- Experience with Arm IP, Cortex, Neoverse, CMSIS, Keil, Corstone, Arm development tools, or Arm-based platforms.
- Experience in SoC design, FPGA prototyping, RTL or verification, EDA flows, silicon bring-up, AI hardware, edge AI, cloud AI infrastructure, or performance analysis.
- Experience commissioning or reviewing technical assets, labs, or specialist content produced by internal teams, universities, contractors, or external partners.
Location and travel
This is a global role supporting Workforce Development products and programs across multiple markets. Some international travel may be required.Why join us
You will help define how engineering communities build capability in AI, semiconductor design, embedded systems, edge computing, physical AI, cloud AI infrastructure, and Arm-based platforms.This is a rare chance to help build a new global capability at Arm and shape how technical communities around the world work with the technologies defining the future of AI and compute.
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 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 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.
Salary Range:
£126,200
- £170,800
per year