Cloud AI Platform Architect for AGI CPUs

Arm; Austin (TX); Hybrid; USD 250,000 - 338,000; Full time

Job summary

Arm is seeking a Systems Solutions Architect in Austin, TX to drive OEM/ODM cloud hardware solutions and align system deployment with Arm silicon designs. You will partner with SoC, Platforms, and software teams to accelerate cloud AI and data-center applications.

You will engage hyperscalers and data-center customers, shaping IP choices and interconnects, while helping Arm lead in AI hardware with a flexible hybrid-working model.

Qualifications

• MS or PhD in Electrical Engineering or Computer Engineering with relevant work experience.
• 10+ years as a systems/platforms architect with silicon/hardware background.
• Experience with cloud servers, accelerators, networking, and storage.
• Ability to collaborate across hardware, software, and performance teams.

Responsibilities

• Drive OEM/ODM partners to design cloud hardware solutions combining Arm’s SoC, IP and partner IP for performance and power efficiency.
• Collaborate with SoC, Platforms, Software architects and multi-functional teams to align deployment with design goals.
• Engage end customers (Hyperscalers, OEMs, ODMs, data-center partners) to understand use-cases and opportunities.
• Stay current on AI data-center trends, perform competitive analysis, and support PMs on SoC/Platform/IP decisions.
• Promote Arm server solutions and represent Arm at industry forums to enable broad adoption.

Skills

Systems architect

Silicon design

IP design

Cloud hardware

Collaboration

Education

MS in Electrical Engineering

PhD in Electrical Engineering

Job description

Arm is seeking a Systems Solutions Architect in Austin, TX to drive OEM/ODM cloud hardware solutions and align system deployment with Arm silicon designs. You will partner with SoC, Platforms, and software teams to accelerate cloud AI and data-center applications.

You will engage hyperscalers and data-center customers, shaping IP choices and interconnects, while helping Arm lead in AI hardware with a flexible hybrid-working model.