Lead the multi-year roadmap and technical requirements for ML/NPU subsystems across markets. Define reusable technology direction, translate product goals into prioritized technical requirements, align development with market strategy, track industry trends, set KPIs, and mentor peers while collaborating with architecture, product, engineering, and customers.
Arm's Central Technology (CT) group is looking for a Director of Technology Product Management - AI / ML to define and drive the roadmap for AI and compute subsystems spanning Infrastructure, Automotive, IoT/EdgeAI, and Client markets.
Your initial focus will be to work on a modular compute subsystem forming the foundation of Arm's future AI and infrastructure. You'll lead the multi-year roadmap and technical requirements across ML acceleration, interfaces, memory, I/O, security, and boot flow.
This cross-functional role engages architecture, product, and engineering teams, as well as customers, to validate technical direction and align with business needs.
Key Responsibilities
Required Skills & Experience
What Makes You a Great Fit
Impact & Growth
You'll shape foundational technologies for Arm's AI and compute subsystems across a range of industries. Your work will influence architecture, customer adoption, and long-term competitiveness.
Our 10x mindset guides how we engineer, collaborate, and grow. Understand what it means and how to reflect 10x in your work: https://careers.arm.com/en/10x-mindset
Salary Range:
$308,600-$417,500 per year
We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.
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.
Your initial focus will be to work on a modular compute subsystem forming the foundation of Arm's future AI and infrastructure. You'll lead the multi-year roadmap and technical requirements across ML acceleration, interfaces, memory, I/O, security, and boot flow.
This cross-functional role engages architecture, product, and engineering teams, as well as customers, to validate technical direction and align with business needs.
Key Responsibilities
- Own the 5-year roadmap and requirements for ML/NPU subsystem components.
- Define reusable technology direction across multiple sectors.
- Translate product goals into clear, prioritized technical requirements.
- Align subsystem development with product and market strategies.
- Partner with Product management and business lines to validate market fit and competitiveness
- Collaborate with Solutions Engineering to ensure downstream feasibility.
- Track AI and compute industry trends to guide differentiation.
- Set KPIs and monitor technology maturity.
- Mentor peers and promote consistent technology planning practices.
- Collaborative partnership with project management
Required Skills & Experience
- Background in AI ASICs, GPUs, SoCs, or subsystem development.
- Bachelor's/Master's in Computer or Electrical Engineering (or equivalent).
- Strong grasp of ML architectures, boot flows, and HW/SW integration.
- Proven experience driving multi-year subsystem roadmaps.
- Strong cross-functional collaboration and communication skills.
What Makes You a Great Fit
- Organized, curious, and execution-driven.
- Able to translate technical inputs into actionable plans.
- Independent but collaborative.
- Eager to grow product leadership skills.
Impact & Growth
You'll shape foundational technologies for Arm's AI and compute subsystems across a range of industries. Your work will influence architecture, customer adoption, and long-term competitiveness.
Our 10x mindset guides how we engineer, collaborate, and grow. Understand what it means and how to reflect 10x in your work: https://careers.arm.com/en/10x-mindset
Salary Range:
$308,600-$417,500 per year
We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.
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.
Top Skills
Ai Asics,Gpus,Socs,Npu,Ml Acceleration,Hw/Sw Integration,Ml Architectures,Boot Flow,Memory,I/O
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