AI Runtime & Performance Architect: Lead Scalable ML

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

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Parental leave (4–12 weeks)

11 paid holidays

Flexible vacation and sick leave

Job summary

HP seeks a Principal AI Runtime & Performance Lead to drive AI runtime architecture, performance optimization, and xPU execution strategy. The role emphasizes agile delivery, scalable software platforms, and cross-functional leadership, with an in-office Houston requirement (4 days).

You will mentor teams, align roadmaps with security, and translate business goals into innovative AI-enabled solutions across multiple platforms.

Qualifications

• Typically 10+ years of software design & development experience.
• Degree in CS/IT/Software Engineering or equivalent demonstrated competence.
• Strong background in Agile and Lean practices and scalable software.

Responsibilities

• Define runtime architecture and strategy for AI deployment.
• Lead performance optimization and drive benchmark methodology.
• Develop model execution strategies and cross-functional programs.
• Architect and deploy software platforms aligned with security requirements.
• Mentor teams, guide project delivery, and document features and tests.
• Translate business concepts into scalable AI-enabled applications.

Skills

Agile Methodology

AWS

API

Automation

C++

Python

Java

JavaScript

React.js

SQL

Software Development

Software Engineering

Full Stack Development

Microservices

Scalability

Education

Four-year or Graduate Degree in Computer Science/IT/Software Engineering or related discipline

Tools

Docker

Kubernetes

Microsoft Azure

Job description

HP seeks a Principal AI Runtime & Performance Lead to drive AI runtime architecture, performance optimization, and xPU execution strategy. The role emphasizes agile delivery, scalable software platforms, and cross-functional leadership, with an in-office Houston requirement (4 days).

You will mentor teams, align roadmaps with security, and translate business goals into innovative AI-enabled solutions across multiple platforms.