Principal AI Infrastructure Engineer

PrincipalAI Infrastructure Engineer, Developer Experience

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 billionin FY24 and approximately24,000 peopleglobally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

This role is within the global Developer Experience (DevEx) 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 at scale. You will join a high-performance, mission-driven interdisciplinary team that spans data science, software engineering, platform architecture, cloud infrastructure, and securityexpertise. We believe in a culture founded on trust, mutual respect, growth mindsets, and an obsessionforbuilding extraordinary products with extraordinary people.

Role Summary

As a Principal AI Infrastructure Engineer (individual contributor), you will bepart of the team that is therecognized technical authority and strategic thought leader in AI infrastructure across ADI's diverse deployment environments. You willhelpsetthe 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 willhelplead 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.

Your impact will be defined by your ability to see patterns across the organization, design elegant solutions that serve multiple constituencies, and build durable frameworks and standards that amplify the capabilities of every AI builder at ADI. You will work at the intersection ofresearch, technical architecture, and developer enablement—translatingresearch and productgoals into infrastructure systems that reduce complexity and accelerate innovation.

Key Responsibilities

AI Developer Experience

• Help define and evolve the organizational vision for AI developer experience,identifyinggaps 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 evolvegovernance 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, andreliabilitytrade-offs, ensuring alignment with businessobjectivesacross teams.

• Mentor and develop engineers across the organization, creating a culture of architectural excellence and infrastructure craftsmanship.

On-Prem, Hybrid, and Cloud AI Infrastructure Engineering

• Architect the organization's long-term AI infrastructure strategy spanningon-premise, hybrid, and cloud-native environments, ensuring cohesive developer experience across all.

• Define reference architectures and technical standards forcomputeorchestration, 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 GPUutilizationoptimization, heterogeneouscomputestrategies (CPUs, GPUs, NPUs, FPGAs), and emerging accelerator technologies.

• Establish enterprise-level observability, governance, and security frameworks for AI infrastructure thatmaintaincompliance across diverse environments while enabling rapid iteration.

• Drive architectural decisions on critical infrastructure dependencies (Kubernetes strategies, container runtimes, distributed compute frameworks, model serving platforms, etc.), influencing multi-year technical roadmaps.

• Partner with infrastructure and cloud teams to evolve shared platforms and services that serve AI workloads, ensuring architectural alignment across the organization.

• Anticipate infrastructure, architectural, and organizational risks—from evolving workload patterns to regulatory changes to emerging security threats—and implement durable solutions adopted org-wide.

• Lead by example in creating reusable Infrastructure-as-Code frameworks, architectural patterns, and tooling that amplify team productivity and reduce toil across the organization.

Required Skills & Experience

• Recognized expert in AI infrastruc