Lead AI Runtime & Performance Architect

HP; Spring (TX); On-site; USD 147,000 - 231,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

Paid parental leave

Paid holidays

Flexible vacation and sick leave

Job summary

HP is seeking a Principal AI Runtime & Performance Lead to direct AI runtime architecture, optimize performance, and define xPU execution strategies. The role emphasizes software development and agile practices to deliver scalable, market-differentiated solutions.

Responsibilities include defining runtime architectures, leading optimization, and developing execution strategies, while mentoring teams and aligning with security requirements.

Qualifications

• Four-year or graduate degree in CS/IT/SE or related discipline
• Typically 10+ years of work experience in software design/development/architecture
• Strong Linux and Windows expertise
• Experience leading cross-functional engineering teams

Responsibilities

• Define runtime architecture.
• Lead performance optimization efforts.
• Drive benchmark methodology.
• Develop model execution strategies.
• Mentor and lead cross-functional teams and projects.
• Build standards and automate software deployment.
• Shape technology strategy and roadmaps for software engineering.
• Assist in scheduling, manpower planning, and cost estimation.

Skills

Agile Methodology

Amazon Web Services

API

Automation

C++

Computer Science

DevOps

Docker

Full Stack Development

Java

JavaScript

Kubernetes

Microservices

Microsoft Azure

Python

React.js

Scalability

Software Development

SQL

Education

Bachelor's degree or higher in CS/IT/SE

Tools

Docker

Kubernetes

AWS

Azure

Job description

HP is seeking a Principal AI Runtime & Performance Lead to direct AI runtime architecture, optimize performance, and define xPU execution strategies. The role emphasizes software development and agile practices to deliver scalable, market-differentiated solutions.

Responsibilities include defining runtime architectures, leading optimization, and developing execution strategies, while mentoring teams and aligning with security requirements.