Staff AI Platform Engineer, Developer Experience - MA, Wilmington, United States
Originally posted 6 October 2026 by the employer.
This role is within the Model Developer Experience (MDX) sub-team.
About the role
As a Staff AI Platform Engineer, Developer Experience, you will bring deep technical expertise in building scalable AI infrastructure across diverse deployment environments. This role is within the global Developer Experience (DevEx) team, specifically the Model Developer Experience (MDX) sub-team, focusing on delivering infrastructure and platforms that enable AI builders across Analog Devices.
What you'll do
- Partner directly with AI builder teams (data scientists, ML engineers, researchers) as an embedded technical advisor, understanding their infrastructure bottlenecks and platform needs.
- Translate specific team engagements into generalizable patterns, standards, and architectural guidance for organizational adoption.
- Drive initiatives that reduce friction in the AI development lifecycle, from experimentation through production, by removing operational and technical barriers.
- Design and advocate for developer-friendly abstractions and APIs that hide infrastructure complexity while maintaining flexibility for advanced use cases.
- Design and optimize AI infrastructure strategies across heterogeneous environments—on-premise GPU clusters, hybrid cloud-edge deployments, and cloud-native architectures.
- Architect compute orchestration and scheduling solutions (Kubernetes, Ray, or equivalent) that efficiently allocate resources across multiple environments and workload types.
What you'll need
- 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, 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 demonstrated ability 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 production AI workloads.
Nice to have
- Experience building or scaling AI infrastructure for robotics, autonomous systems, or industrial perception applications.
- 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.
- Knowledge of heterogeneous compute architectures combining CPUs, GPUs, and specialized processors (NPUs, FPGAs, etc.).
- Experience with real-time operating systems or hard real-time constraints in distributed systems.
- Understanding of manufacturing, autonomous vehicle, or healthcare domains and their infrastructure requirements for AI applications.
Skills: AI platform, Kubernetes, cloud infrastructure, model serving, GPU clusters, Terraform
This role has been open 10 days — well below the 51-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
974
|
Median days open
51 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Analog Devices | All employers we track in this specialty (974 roles · 86 employers) |
|---|---|---|
| Open roles in this specialty | 19 | 974 |
| Open roles in the wider Software, Firmware & Systems family | 111 | 6156 · 145 employers |
| Median days open | 66 d | 51 d (+15 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI platform, Kubernetes, cloud infrastructure, model serving, GPU clusters, Terraform
Who's hiring in this category
- NVIDIA · 281 open roles · median 46 d
- Qualcomm · 61 open roles · median 55 d
- AMD · 55 open roles · median 22 d
- Graphcore · 44 open roles · median 91 d
- Intel Corporation · 41 open roles · median 10 d
- Cerebras · 39 open roles · median 81 d
How we counted: 974 open Infrastructure/Platform Software (Infrastructure Platform) roles from 86 employers tracked in the SemiconductorJobs index, counted 16 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.