SQA Integration TPM

HP•Austin, TX

5d•$105,050 - $161,800

About The Position

HP is seeking a technically strong, highly motivated Technical Program Manager to join its Software Quality organization. The role combines software engineering knowledge, analytical skills, technical program management, and hands-on expertise in AI and automation. The successful candidate will embrace emerging technologies, challenge traditional approaches, and independently develop AI-powered tools and solutions to improve engineering efficiency and effectiveness. The ideal candidate is technically hands-on, able to understand code and troubleshoot issues, and capable of building practical AI agents, bots, and automated workflows. They are analytical, proactive, influential with experienced engineers and technical leaders, and adaptable to a fast-paced environment with changing technologies and priorities. The annual pay range is $105,050 to $161,800 USD, with additional opportunities for bonus and/or equity for candidates in the United States. Pay varies by work location, job-related knowledge, skills, and experience. HP offers a comprehensive benefits package. Benefits and compensation information is accurate as of the posting date and may be modified subject to applicable law.

Requirements

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 lifecycles, 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, including 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.

Nice To Haves

Experience with embedded software, Android, Linux, or connected devices.
Background in software integration, SDET, DevOps, or release engineering.
Familiarity with AI agent frameworks such as LangGraph, 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.