{"id":1959071,"url":"https://alion.io/job/analog-devices-staff-ai-platform-engineer-developer-experience","title":"Staff AI Platform Engineer, Developer Experience","company":{"id":58431,"name":"Analog Devices","domain":"analog.com","url":"https://alion.io/company/analog-devices","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":52,"ghost_share":0,"stale_share":0.885,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-09T06:01:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Wilmington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":172000,"max":236500,"currency":"USD","period":"year","gross":null,"usd_annual":236500},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Kubernetes","optional":false},{"name":"Ray","optional":false},{"name":"Terraform","optional":false},{"name":"Edge AI","optional":true},{"name":"ROS","optional":true},{"name":"ROS2","optional":true}],"status":"live","first_seen_at":"2026-10-06T14:32:00Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-09T21:35:04Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About Analog Devices\nAnalog 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.\nStaffAI Platform Engineer, Developer Experience\nAnalog 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).\nThis 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.\nRole Summary\nAs 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.\nYou 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.\nKey Responsibilities\nAI Developer Experience\nPartner 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.\n\nTranslate specific team engagements into generalizable patterns, standards, and architectural guidance that can be adopted across the organization.\n\nDrive initiatives that reduce friction in the AI development lifecycle-from experimentation through production-by removing operational and technical barriers for builders.\n\nDesign and advocate for developer-friendly abstractions and APIs that hide infrastructure complexity while maintainingflexibility for advanced use cases.\n\nCollaborate with cross-functional stakeholders to define what \"excellent developer experience\" means for AI developers.\n\nShepherd ML/AI projects through ADI's AI Supply Chain ensuring governance gates are met at each transition\n\nFacilitate cross-functional approval workflows spanning Legal, Security, Trade Compliance, Data Privacy, and Responsible AI stakeholders for high-risk model promotions\n\nOn-Prem, Hybrid, and Cloud AI Infrastructure Engineering\nDesign 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.\n\nArchitectcompute orchestration and scheduling solutions (Kubernetes, Ray, or equivalent) that efficiently allocateresources across multiple environments and workload types.\n\nOwn infrastructure for model serving, inference optimization, and real-time inference pipelines supporting low-latency, edge-deployed AI models.\n\nDefine and implement cost optimization strategies across cloud and on-prem resources, including resource allocation, auto-scaling policies, and workload consolidation.\n\nBuild reusable Infrastructure-as-Code frameworks and tooling that other teams can adopt to provision and manage AI workloads consistently across environments.\n\nEstablish observability and monitoring strategies for AI infrastructure, including resource utilization, cost tracking, and performance metrics that enable proactive problem-solving.\n\nDrive security and compliance standards for AI infrastructure, ensuring data residency, access control, and auditability across deployment environments.\n\nMentor engineers on infrastructure best practices, distributed systems concepts, and optimization techniques that improve platform reliability and developer productivity.\n\nRequired Skills & Experience\nDeep expertisein designing and operating AI workloads across multiple deployment paradigms (on-premises, hybrid, cloud-native).\n\nProven ability to work embedded with technical teams, understand complex requirements, and translate them into scalable architectural solutions.\n\nStrong experience with Kubernetes, container orchestration, and distributed compute frameworks (Ray, Spark, or equivalent) at production scale.\n\nExpert-level Infrastructure-as-Code proficiency(Terraform, CDK, or equivalent) with demonstratedability to build reusable, multi-team infrastructure templates.\n\nDeep knowledge of GPU/accelerator resource management, including scheduling, optimization, and cost tracking across heterogeneous hardware.\n\nExperience designing model serving infrastructure and inference optimization pipelines for productionAI workloads.\n\nDemonstrated ability to solve complex infrastructure problems through systematic analysis and creative engineering.\n\nStrong communicationskills and ability to translate technical concepts for both engineering and non-technical audiences.\n\nFamiliarity with risk-tiered compliance models where control intensity scales with assessed risk level\n\nStrong cross-functional collaboration skills - ability to work across Legal, Security, Privacy, and Engineering to align on governance workflows without creating organizational friction\n\nMentoring orientation with demonstratedsuccessupskilling scientists on infrastructure and platform topics.\n\nPreferred Skills - Physical Intelligence and Industrial AI\nExperience building or scaling AI infrastructure for robotics, autonomous systems, or industrial perceptionapplications.\n\nFamiliarity with ROS/ROS2 ecosystems and the infrastructure challenges of deploying ML models in robotic systems.\n\nBackground in edge AI deployment, including optimization for low-latency inference on resource-constrained devices.\n\nExperience designing ML infrastructure that supports rapid iteration and few-shot adaptation in physical systems.\n\nKnowledge of heterogeneous computearchitectures combining CPUs, GPUs, and specialized processors (NPUs, FPGAs, etc.).\n\nExperience with real-time operating systems or hard real-time constraints in distributed systems.\n\nUnderstanding ofmanufacturing, autonomous vehicle, or healthcare domains and their infrastructure requirements for AI applications.\n\nFor 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.\nAnalog 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.\nEEO is the Law: Notice of Applicant Rights Under the Law.\nJob 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.\n\nThis position qualifies for a discretionary performance-based bonus which is based on personal and company factors.\n\nThis position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.","description_format":"text","description_chars":9364,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Sensors & Transducers","Analog & Power Semiconductors"],"lifecycle":[{"event":"open","at":"2026-10-06T14:32:00Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":2,"expected_fill_days":48,"reasons":["conf:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-09T06:01:00Z"},"pay":{"stated_usd_annual":236500,"is_top_pay":false},"html_url":"https://alion.io/job/analog-devices-staff-ai-platform-engineer-developer-experience","json_url":"https://alion.io/job/analog-devices-staff-ai-platform-engineer-developer-experience.json","meta":{"generated_at":"2026-10-10T00:49:45Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1315,"day_limit":5000,"remaining_today":3685,"minute_limit":60,"resets_at":"2026-10-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":58431},"rest":"https://alion.io/mcp/rest/get_company?id=58431"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fanalog-devices-staff-ai-platform-engineer-developer-experience"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fanalog-devices-staff-ai-platform-engineer-developer-experience"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fanalog-devices-staff-ai-platform-engineer-developer-experience"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/analog-devices-staff-ai-platform-engineer-developer-experience\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fanalog-devices-staff-ai-platform-engineer-developer-experience"}]}