Senior AI Platform Engineer — Developer Experience

1010 Analog Devices Inc.; Wilmington (MA); Presencial; USD 172.000 - 237.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Discretionary bonus

Medical coverage

Vision coverage

Dental coverage

401k

Paid time off

Descripción de la vacante

Analog Devices, Inc. is seeking a Staff/Senior AI Platform Engineer to build scalable AI infrastructure across on‑prem, hybrid, and cloud environments.

You will partner with data scientists and ML engineers to translate complex needs into reusable, end‑to‑end platforms, focusing on model serving, orchestration, and cost efficiency. You will design compute orchestration, governance, and observability; mentor engineers in distributed systems and optimize AI workloads for low latency, edge

Formación

• Deep expertise in designing and operating AI workloads across multiple deployment paradigms (on-premises, hybrid, cloud-native).
• Proven ability to work embedded with technical teams and translate requirements into scalable solutions.
• Strong experience with Kubernetes and container orchestration at production scale.

Responsabilidades

• Partner with AI builder teams as embedded technical advisor to understand infrastructure bottlenecks.
• Translate engagements into reusable patterns and architectural guidance for the organization.
• Drive initiatives to reduce friction in the AI development lifecycle from experimentation to production.

Conocimientos

AI infrastructure

Kubernetes

Terraform/CDK

GPU resource management

Model serving

Cross-functional collaboration

Mentoring engineers

Herramientas

Ray/Spark

Descripción del empleo

Analog Devices, Inc. is seeking a Staff/Senior AI Platform Engineer to build scalable AI infrastructure across on‑prem, hybrid, and cloud environments.

You will partner with data scientists and ML engineers to translate complex needs into reusable, end‑to‑end platforms, focusing on model serving, orchestration, and cost efficiency. You will design compute orchestration, governance, and observability; mentor engineers in distributed systems and optimize AI workloads for low latency, edge