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
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Provide technical leadership for Workforce Development programs focused on AI and compute on Arm.
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Define technical pathways across Arm-based SoC design, computer architecture, embedded systems, AI hardware, hardware-software co-design, platform design, and systems performance.
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Define technical audiences, entry requirements, capability outcomes, labs, practical activities, and acceptance criteria.
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Identify what can be reused, adapted, created, commissioned, or validated, and write technical briefs where specialist input is needed.
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Work with engineering teams, technical specialists, partners, and institutions to shape priorities and build technically credible solutions.
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Review technical assets, labs, and source content to ensure they are credible, reusable, technically sound, and aligned to Arm technologies.
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Provide technical judgment on where Workforce Development can credibly deliver and where deeper Arm expertise is needed.
What you’ll bring
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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.
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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.
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Understanding of practical workflows for Arm-based systems, including toolchains, debugging, profiling, simulation, emulation, FPGA prototyping, lab environments, or platform bring-up.
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Awareness of SoC and AI compute concepts, including IP integration, verification, EDA flows, inference performance, benchmarking, and workload characterization.
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Experience shaping technical programs, applied labs, capability frameworks, industry-linked pathways, or technical workforce development initiatives.
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Strong judgment, written communication, and the ability to create structure from ambiguity in a developing function.
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Degree in a relevant subject such as Electronic Engineering, Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or equivalent technical experience.
Desirable experience
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Experience with Arm IP, Cortex, Neoverse, CMSIS, Keil, Corstone, Arm development tools, or Arm-based platforms.
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Experience in SoC design, FPGA prototyping, RTL or verification, EDA flows, silicon bring-up, AI hardware, edge AI, cloud AI infrastructure, or performance analysis.
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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.
