Agentic AI AI Runtime / ML Model Systems Engineer

HP Inc.

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Spring, TXAustin, TX
Salary
$130,700–$205,200 / yr
Posted
4 days ago
Freshness
Confirmed live today
Closes
Mar 29, 2027
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k
This role $168k
$117k most similar roles pay here $255k

This role pays less than 69% of similar roles. Most pay $162,000–$241,750 — the shaded band above. At the midpoint, this role pays about $168k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About HP Inc.

HP Inc. is a global technology company that develops and sells personal computers, printers, and related supplies and services. Its products include laptops, desktops, workstations, and printing solutions for consumers and businesses worldwide.

HP Inc. currently has 116 open roles on FindRole.

Listed pay typically runs $130,700–$205,200 across 97 roles with salary data.

Most-posted roles

View all roles at HP Inc.

At a glance

TL;DR · Agentic AI AI Runtime / ML Model Systems Engineer

Role Posting Log in to save

[Agentic AI] AI Runtime / ML Model Systems Engineer will join the team to develop runtime abstraction layers and intelligent model placement systems across heterogeneous compute resources. The role involves building runtime abstraction frameworks, implementing model placement policies, developing xPU routing logic, and optimizing inference execution. You will also design and automate software deployments while contributing to technology strategy and engineering roadmaps. Key technical requirements include expertise in ONNX, TensorRT, OpenVINO, NPU/GPU scheduling, and Edge AI deployment. The candidate should be proficient in C++, Python, Java, JavaScript, SQL, and React.js, while possessing skills in Kubernetes, Docker, Microservices, and Full Stack Development. This role addresses the technical challenge of creating robust software solutions for model execution across diverse hardware environments using tools like AWS, Azure, and various automation practices within an Agile framework.

Skills

ONNX TensorRT OpenVINO Python C++ Java JavaScript Kubernetes Docker Microsoft Azure SQL React.js Microservices API DevOps Agile Methodology Edge AI

What you'll do

  • Build runtime abstraction frameworks for heterogeneous compute resources.
  • Implement model placement policies and xPU routing logic.
  • Optimize inference execution across various hardware platforms.
  • Design and automate the deployment of software systems and infrastructure.
  • Develop solutions to protect and manage software products and data.
  • Execute strategic engineering proofs of concept and contribute to technology roadmaps.
  • Supervise external engineering vendors and provide technical feedback on their work.

What we're looking for

  • A four-year or graduate degree in Computer Science, Information Technology, Software Engineering, or a related field.
  • 7 to 10 years of experience in software design and development, architecture, or programming languages (preferred).
  • Expertise in AI runtime, inference execution optimization, and edge AI deployment.
  • Proficiency with ONNX, TensorRT, and OpenVINO.
  • Experience with NPU/GPU scheduling and xPU routing logic.
  • Proficiency in programming languages including C++, Python, Java, JavaScript, and SQL.
  • Experience with cloud platforms (AWS, Azure), Docker, Kubernetes, and Microservices.
  • Skills in Full Stack Development, DevOps, Agile Methodology, and automation.

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