Staff AI Platform Engineer, Developer Experience
Confirmed on the employer's own hiring board on Oct 6, 2026. First seen by Alion on Oct 6, 2026. Analog Devices scores B on the Alion truth index.
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, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.
StaffAI Platform 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 approximately 24,000 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 security expertise. We believe in a culture founded on trust, mutual respect, growth mindsets, and an obsession forbuilding extraordinary products with extraordinary people.
Role Summary
As a Staff/Senior AI Platform Engineer (individual contributor), you will bring deep technical expertisein building scalable AI infrastructure across diverse deployment environments, and the ability to design elegant solutions that absorb operational complexity on behalf of AI builders across the organization. You will work embedded with data science and ML engineering teams to understand their infrastructure needs at the cutting edge, then translate those learnings into reusable, org-wide architectural patternsand platforms. You'lldesign and implementatcritical infrastructure capabilities that span on-prem, hybrid, and cloud environments-from model serving and orchestration, to compute optimization, cost efficiency, and governance.
You will work at the intersection of research, technical architecture, and developerenablement-translating research and product goals into infrastructure systems that reduce friction and accelerate innovation.
Key Responsibilities
AI Developer Experience
Partner directly with AI builder teams (data scientists, ML engineers, researchers) as an embedded technical advisor, understanding their infrastructure bottlenecks and platform needs at the point of creation.
Translate specific team engagements into generalizable patterns, standards, and architectural guidance that can be adopted across the organization.
Drive initiatives that reduce friction in the AI development lifecycle-from experimentation through production-by removing operational and technical barriers for builders.
Design and advocate for developer-friendly abstractions and APIs that hide infrastructure complexity while maintainingflexibility for advanced use cases.
Collaborate with cross-functional stakeholders to define what "excellent developer experience" means for AI developers.
Shepherd ML/AI projects through ADI's AI Supply Chain ensuring governance gates are met at each transition
Facilitate cross-functional approval workflows spanning Legal, Security, Trade Compliance, Data Privacy, and Responsible AI stakeholders for high-risk model promotions
On-Prem, Hybrid, and Cloud AI Infrastructure Engineering
Design and optimizeAI infrastructure strategies that span heterogeneous environments-on-premiseGPU clusters, hybrid cloud-edge deployments, and cloud-native architectures-ensuring seamless developer experience across all.
Architectcompute orchestration and scheduling solutions (Kubernetes, Ray, or equivalent) that efficiently allocateresources across multiple environments and workload types.
Own infrastructure for model serving, inference optimization, and real-time inference pipelines supporting low-latency, edge-deployed AI models.
Define and implement cost optimization strategies across cloud and on-prem resources, including resource allocation, auto-scaling policies, and workload consolidation.
Build reusable Infrastructure-as-Code frameworks and tooling that other teams can adopt to provision and manage AI workloads consistently across environments.
Establish observability and monitoring strategies for AI infrastructure, including resource utilization, cost tracking, and performance metrics that enable proactive problem-solving.
Drive security and compliance standards for AI infrastructure, ensuring data residency, access control, and auditability across deployment environments.
Mentor engineers on infrastructure best practices, distributed systems concepts, and optimization techniques that improve platform reliability and developer productivity.
Required Skills & Experience
Deep expertisein designing and operating AI workloads across multiple deployment paradigms (on-premises, hybrid, cloud-native).
Proven ability to work embedded with technical teams, understand complex requirements, and translate them into scalable architectural solutions.
Strong experience with Kubernetes, container orchestration, and distributed compute frameworks (Ray, Spark, or equivalent) at production scale.
Expert-level Infrastructure-as-Code proficiency(Terraform, CDK, or equivalent) with demonstratedability to build reusable, multi-team infrastructure templates.
Deep knowledge of GPU/accelerator resource management, including scheduling, optimization, and cost tracking across heterogeneous hardware.
Experience designing model serving infrastructure and inference optimization pipelines for productionAI workloads.
Demonstrated ability to solve complex infrastructure problems through systematic analysis and creative engineering.
Strong communicationskills and ability to translate technical concepts for both engineering and non-technical audiences.
Familiarity with risk-tiered compliance models where control intensity scales with assessed risk level
Strong cross-functional collaboration skills - ability to work across Legal, Security, Privacy, and Engineering to align on governance workflows without creating organizational friction
Mentoring orientation with demonstratedsuccessupskilling scientists on infrastructure and platform topics.
Preferred Skills - Physical Intelligence and Industrial AI
Experience building or scaling AI infrastructure for robotics, autonomous systems, or industrial perceptionapplications.
Familiarity with ROS/ROS2 ecosystems and the infrastructure challenges of deploying ML models in robotic systems.
Background in edge AI deployment, including optimization for low-latency inference on resource-constrained devices.
Experience designing ML infrastructure that supports rapid iteration and few-shot adaptation in physical systems.
Knowledge of heterogeneous computearchitectures combining CPUs, GPUs, and specialized processors (NPUs, FPGAs, etc.).
Experience with real-time operating systems or hard real-time constraints in distributed systems.
Understanding ofmanufacturing, autonomous vehicle, or healthcare domains and their infrastructure requirements for AI applications.
For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
EEO is the Law: Notice of Applicant Rights Under the Law.
Job Req Type: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $172,000 to $236,500.Actual wage offered may vary depending on work location, experience, education, training, external market data, internal payequity, or other bona fide factors.
This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.