Principal AI Infrastructure Engineer

About Analog Devices Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™.

This role is within the global Developer Experience (Dev Ex) team, specifically the Model Developer Experience (MDX) sub‑team – whose mission is to deliver world‑class infrastructure and platforms that enable AI builders across ADI to move faster, with confidence, and  will join a high‑performance, mission‑driven interdisciplinary team that spans data science, software engineering, platform architecture, cloud infrastructure, and security expertise. We believe in a culture founded on trust, mutual respect, growth mindsets, and an obsession for building extraordinary products with extraordinary people.

As a Principal AI Infrastructure Engineer (individual contributor), you will be part of the team that is the recognized technical authority and strategic thought leader in AI infrastructure across ADI's diverse deployment environments. You will help set the long‑term vision and architectural direction for how the organization's AI infrastructure evolves to support breakthrough applications in physical intelligence and Intelligent Edge systems.

You will help lead cross‑team initiatives that elevate AI developer experience and infrastructure capabilities org‑wide, translate emerging business needs into scalable platform strategies, and mentor engineers in shaping the future of AI infrastructure at scale.

• Help define and evolve the organizational vision for AI developer experience, identifying gaps and opportunities across the full AI development lifecycle and across all deployment environments.
• Lead cross‑team initiatives that systematically improve how AI builders experience infrastructure—from experimentation through production—creating measurable improvements in developer productivity and satisfaction.
• Work strategically with data science teams, and research groups to understand emerging AI use cases and infrastructure needs at the frontier of the organization's work.
• Establish org‑wide patterns, standards, and best practices for AI infrastructure that are adopted across multiple business units and geographies.
• Design and advocate for developer‑first abstractions and platforms that absorb infrastructure complexity while enabling advanced customization for specialized use cases.
• Help evolve governance frameworks—including model versioning, experiment tracking, deployment workflows, and compliance standards—that scale with organizational growth without stifling innovation.
• Shape the organizational approach to infrastructure cost, performance, and reliability trade‑offs, ensuring alignment with business objectives across teams.
• Mentor and develop engineers across the organization, creating a culture of architectural excellence and infrastructure craftsmanship.

• Architect the organization's long‑term AI infrastructure strategy spanning on‑premise, hybrid, and cloud‑native environments, ensuring cohesive developer experience across all.
• Define reference architectures and technical standards for compute orchestration, model serving, inference optimization, and resource management that guide platform development across teams.
• Lead the design of scalable, multi‑region AI infrastructure that supports ADI's geographic expansion and business unit diversity, accounting for regulatory, latency, and cost requirements.
• Own infrastructure innovation initiatives that improve efficiency, reduce cost, and unlock new capabilities—including GPU utilization optimization, heterogeneous compute strategies (CPUs,…