Sr. Platform Engineer-GenAI

Company	KLA
Location	Ann Arbor, MI, USA
Salary	$108100 – $183800
Type	Full-Time
Degrees	Bachelor’s
Experience Level	Senior, Expert or higher

Requirements

Bachelor’s Degree or equivalent training/certifications in Computer Science or related IT field
Eight (8) years of implementing and maintaining AI/ML Infrastructure On-Prem environment
Strong experience with AI/ML infrastructure and tools, including GPU clusters and Kubernetes
Proficiency in deploying and managing open-source GenAI components and vector databases
Hands-on experience with high-performance computing (HPC) environments
Expertise in designing and managing on-premises, cloud, and hybrid-based ML platforms
Solid understanding of distributed storage systems, scheduling systems, and high availability capabilities

Responsibilities

Identify and resolve infrastructure gaps to ensure reliable, efficient, and scalable solutions
Develop advanced AI/ML infrastructure solutions that enhance the efficiency of our skilled ML teams
Design and implement solutions for critical areas, including distributed storage systems, scheduling systems, high availability capabilities, and core reliability issues within our large-scale GPU clusters
Monitor and optimize the performance of our AI/ML infrastructure, ensuring high availability, scalability, and efficient resource utilization
Develop and deploy automation tools, monitoring solutions, and operational strategies to streamline infrastructure management and reduce manual tasks
Work with various teams, including ML developers, data engineers, and DevOps professionals, to create a cohesive and integrated AI/ML infrastructure ecosystem
Implement and manage GPU infrastructure within Kubernetes clusters to support high-performance computing and AI/ML tasks
Deploy and manage open-source GenAI components, such as vector databases and various AI/ML models, ensuring seamless integration and optimal performance
Evaluate and integrate new open-source GenAI tools and technologies to enhance the platform’s capabilities
Collaborate with the research and development teams to implement and optimize innovative AI/ML models and algorithms
Ensure the security and compliance of open-source GenAI components within the infrastructure
Leverage High-Performance Computing (HPC) experience to optimize and manage large-scale AI/ML workloads
Design, implement, and manage on-premises, cloud, and hybrid-based ML platforms to support diverse AI/ML workloads and ensure flexibility and scalability

Preferred Qualifications

No preferred qualifications provided.