Arm
Senior AI & Compute Systems Engineer, Workforce Development

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Senior AI & Compute Systems Engineer, Workforce Development
Principal AI & Compute Engineer, Workforce Development
About the Role
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
- 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
- Collaborate 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 alignment with Arm technologies, credibility, technical soundness, and reusability
- Provide technical judgment on where Workforce Development can credibly deliver and where deeper Arm expertise is needed
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What You’ll Bring
Essential Experience & Skills
- Strong engineering background with demonstrable experience in Arm-based technologies, including:
- Arm architecture
- Cortex processors
- SoC design
- Embedded systems
- Arm development tools
- Hardware-software co-design
- Deep technical credibility in at least one Arm-relevant domain with systems awareness across adjacent areas such as:
- Platform software
- AI hardware
- Cloud AI infrastructure
- Semiconductor design
- Performance optimization
- Knowledge of practical workflows for Arm-based systems, including:
- Toolchains, debugging, profiling, simulation, emulation, FPGA prototyping, and lab environments
- Awareness of:
- SoC and AI compute concepts
- IP integration, verification, EDA flows, inference performance, benchmarking, and workload characterization
- Experience shaping:
- Technical programs
- Applied labs
- Capability frameworks
- Industry-linked pathways
- Technical workforce development initiatives
- Strong judgment, written communication, and ability to create structure from ambiguity in a developing function
Education
- Degree in a relevant subject such as:
- Electronic Engineering, Electrical Engineering, Computer Engineering, Computer Science, or Systems Engineering
- (or equivalent technical experience)
Desirable Experience
- Experience with:
- Arm IP (e.g., Cortex, Neoverse)
- CMSIS, Keil, Corstone
- Arm development tools or Arm-based platforms
- Experience in:
- SoC design
- FPGA prototyping
- RTL/verification
- EDA flows
- Silicon bring-up
- AI hardware (e.g., edge AI, cloud AI infrastructure)
- Performance analysis (e.g., benchmarking, workload characterization)
- Experience commissioning or reviewing:
- Technical assets
- Labs
- Specialist content from internal/external teams (universities, contractors, partners)


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Key Details
Location & Flexibility
- Global role with support for Workforce Development products and programs across markets
- Some international travel may be required
- Hybrid working arrangement supported by Arm
Why Join Arm?
You will help define how engineering communities build capability in:
- AI
- Semiconductor design
- Embedded systems
- Edge computing
- Physical AI
- Cloud AI infrastructure Support Arm’s vision: You have the rare opportunity to shape technical communities worldwide working with the technologies defining the future of AI and compute.
About Working at Arm
Accommodations
At Arm, we value inclusivity. If you require adjustments or accommodations during recruitment, email accommodations@arm.com. Requests will be handled confidentially. Examples of support include break intervals, document guides, or office accessibility.
Equal Opportunities
Arm is committed to providing equal opportunities and is an equal opportunities employer. We respect diversity and do not discriminate on the basis of race, religion, sex, sexual orientation, disability, veteran status, or any protected characteristic.
Salary Range
£126,200 - £170,800 per year, depending on experience and role specifics.
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