Platform Architect-GenAI at KLA

Ann Arbor, Michigan, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Information TechnologyIndustries

Requirements

Bachelor's Degree or equivalent experience in Computer Science or related IT field
Eight (8) years of implementing and maintaining AI/ML Infrastructure in an 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
Strong Linux system administration and scripting skills

Responsibilities

Design, deploy, and manage scalable AI/ML infrastructure supporting hybrid cloud and on-prem environments
Work extensively with open-source MLOps platforms (e.g., Kubeflow, MLflow, Flyte) to streamline model development, deployment, and lifecycle management
Architect and optimize GenAI infrastructure, including integration of vector databases and large language model serving frameworks
Implement and manage high-performance shared storage systems (e.g., Ceph, MinIO) for distributed AI workloads
Set up and maintain InfiniBand networking for low-latency, high-throughput GPU cluster communication
Collaborate with ML engineers, data scientists, and DevOps teams to build a cohesive and efficient AI/ML ecosystem
Monitor and enhance infrastructure performance, ensuring scalability, reliability, and security
Evaluate and integrate emerging GenAI tools and frameworks to continuously improve platform capabilities

Skills

Key technologies and capabilities for this role

GenAILLMOpsAI/MLCloudDevOpsHybrid Platforms

Questions & Answers

Common questions about this position

What is the employment type for this position?

The position is full-time employment.

Is this role remote or does it require on-site work?

This information is not specified in the job description.

What key skills are required for the Platform Architect-GenAI role?

Required skills include experience with open-source MLOps platforms like Kubeflow, MLflow, Flyte; architecting GenAI infrastructure with vector databases and LLM serving frameworks; managing shared storage systems like Ceph, MinIO; and setting up InfiniBand networking for GPU clusters.

What is the company culture like at KLA?

KLA offers an exciting work environment where teams thrive on tackling hard problems, with a strong focus on innovation through investing 15% of sales into R&D, and collaborative expert teams of physicists, engineers, data scientists, and problem-solvers.

What makes a strong candidate for this GenAI Platform Architect role?

A strong candidate is highly skilled and motivated, with expertise in designing scalable AI/ML infrastructure for hybrid cloud and on-prem environments, operationalizing LLMOps, and collaborating with ML engineers, data scientists, and DevOps teams.

KLA

Provides process control and yield management solutions

About KLA

KLA provides process control and yield management solutions primarily for semiconductor manufacturers. The company offers advanced inspection tools, metrology systems, and computational analytics that help manufacturers identify and fix defects during production. This process enhances the quality and reliability of electronic devices, leading to higher production yields. KLA distinguishes itself from competitors by focusing on high-precision equipment and software that are essential for defect detection in semiconductor manufacturing. The company's goal is to promote sustainability by committing to using 100% renewable electricity in its operations by 2030.

Milpitas, CaliforniaHeadquarters

1975Year Founded

IPOCompany Stage

Industrial & Manufacturing, EnergyIndustries

5,001-10,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) Retirement Plan

401(k) Company Match

Employee Stock Purchase Plan

Student Loan Assistance

Tuition Reimbursement

Wellness Program

Mental Health Support

Paid Vacation

Paid Holidays

Parental Leave

Risks

Emerging competition in solid-state battery technology may impact market share.

Rapid innovation in semiconductor processes may outpace KLA's current technology.

Potential delays in achieving renewable electricity goals could affect brand reputation.

Differentiation

KLA specializes in advanced inspection tools and metrology systems for semiconductors.

The company integrates computational analytics to enhance defect detection and yield management.

KLA is committed to sustainability, aiming for 100% renewable electricity by 2030.

Upsides

Rising demand for advanced inspection tools due to AI and IoT growth.

AI-driven predictive maintenance reduces downtime in semiconductor manufacturing.

Collaborations with cloud providers enhance data analytics and process optimization.

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