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Technical Program Manager – Software Quality & AI Automation - Poly

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Hp Iq
Full Time position
Listed on 2026-10-28
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), DevOps, Software Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

At HP, you’ll have a chance to create tools, technology, and solutions that reshape the way the world works in the future. If you’re looking to join a company that allows you to connect with a network of professionals eager to support you in doing your best work, we want to talk to you. Our legendary culture guides every employee toward success—fostering collaboration and driving innovation.

Operating in over 170 countries, HP is always creating new services, products, and capabilities giving you more opportunities to advance your career. Here, innovation is the key to professional development and career mobility.

When you join HP, you’re joining a company that believes every voice matters and that we all deserve a seat at the table. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves. You will be part of a global laboratory where different perspectives and experiences will help you solve problems in new ways.

This is where you can build a long and wide-ranging career.

About

The Role

We are seeking a technically strong, highly motivated Technical Program Manager (TPM) to join our Software Quality organization.

The ideal candidate combines a solid software engineering background with strong analytical skills, technical program management experience, and hands‑on expertise in AI and automation.

We are particularly interested in individuals who embrace emerging technologies, challenge traditional ways of working, and can independently develop AI‑powered tools and solutions to improve engineering efficiency and effectiveness.

Required Qualifications
  • Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.
  • Strong technical background in software development, firmware, software quality, or systems engineering.
  • Experience working with complex software systems and cross-functional engineering teams.
  • Solid understanding of software development life cycles, CI/CD, version control, software testing, and quality engineering practices.
  • Experience with Jira, Git, Jenkins, or comparable engineering tools.
  • Strong scripting or programming skills, preferably Python.
  • Hands‑on experience with generative AI, LLMs, and AI‑powered automation.
  • Ability to design, develop, and integrate AI agents, bots, and automated workflows using APIs and modern AI frameworks.
  • Strong analytical and problem‑solving skills with the ability to evaluate complex technical information.
  • Excellent communication, organization, and stakeholder management skills.
  • Ability to work independently, influence cross‑functional teams, and drive technical decisions.
Preferred Qualifications
  • Experience with embedded software, Android, Linux, or connected devices.
  • Background in software integration, SDET, Dev Ops, or release engineering.
  • Familiarity with AI agent frameworks such as Lang Graph, CrewAI, or Semantic Kernel.
  • Experience with Model Context Protocol (MCP), tool calling, RAG, and multi‑agent workflows.
  • Experience integrating AI solutions with engineering platforms and development tools.
  • Knowledge of automated testing frameworks, CI/CD pipelines, and software quality metrics.
  • Experience applying AI to software development, testing, debugging, or engineering productivity.
  • Prior technical program management or technical leadership experience.
Ideal Candidate Profile

We value candidates who are:

  • Technically hands‑on:
    Comfortable understanding code, troubleshooting technical issues, and building practical solutions.
  • AI‑native:
    Actively using AI in their daily work and capable of creating agents and bots, not simply writing prompts.
  • Analytical:
    Able to assess complex technical problems and make sound, evidence‑based decisions.
  • Proactive:
    Identify…
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