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™. Learn more at   www.analog.com  and on   LinkedIn  and   Twitter (X) . Principal   AI 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 billion   in FY24 and approximately   24,000 people   globally, 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 security   expertise . We believe in a culture founded on trust, mutual respect, growth mindsets, and an obsession   for   building extraordinary products with extraordinary people.   Role Summary   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.   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 of   research , technical architecture, and developer enablement—translating   research and product   goals into infrastructure systems that reduce complexity and accelerate innovation.   Key Responsibilities   AI Developer Experience   Help d efine 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.   On-Prem, Hybrid, and Cloud AI Infrastructure Engineering   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, GPUs, NPUs, FPGAs), and emerging accelerator technologies.   Establish enterprise-level observability, governance, and security frameworks for AI infrastructure that   maintain   compliance 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 infrastr