Senior AI Infrastructure Engineer
Core
Design and operate scalable AI infrastructure across on-prem, hybrid, and cloud environments to enable AI builders to move faster with confidence.
Role type
Senior IC AI Infrastructure Engineer (Developer Experience)
Builds
Reusable infrastructure platforms, model serving pipelines, compute orchestration solutions, and developer tooling for AI workloads.
Domain
Semiconductor industry, AI/ML infrastructure, cloud-native and edge computing
Deliverable
production ML models | infrastructure
Required skills
Kubernetes, distributed compute frameworks (Ray/Spark), Infrastructure-as-Code (Terraform/CDK), GPU/accelerator resource management, model serving architecture, multi-cloud strategies, observability, security compliance
Preferred skills
Robotics/autonomous systems infrastructure, ROS/ROS2, edge AI optimization, heterogeneous compute (NPUs/FPGAs), real-time operating systems, manufacturing/healthcare domain knowledge
Technologies
Kubernetes, Ray, Spark, Terraform, CDK, AWS, Azure, ROS/ROS2
Responsibilities
Partner with AI teams as embedded technical advisor to identify infrastructure bottlenecks; Design and optimize compute orchestration and scheduling solutions; Own infrastructure for model serving and real-time inference pipelines; Build reusable Infrastructure-as-Code frameworks; Establish observability and monitoring strategies; Mentor engineers on infrastructure best practices
Seniority
Senior, hands-on IC with mentorship responsibilities