SQA Integration TPM

HP•Austin, TX

6d•$105,050 - $161,800

About The Position

HP is seeking a technically strong, 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 candidate will help improve engineering efficiency and effectiveness by applying emerging technologies and independently developing AI-powered tools and solutions. The position calls for someone comfortable understanding code, troubleshooting technical issues, and building practical solutions. The candidate will assess complex technical problems, make evidence-based decisions, take ownership of improvement opportunities, and work effectively with experienced engineers and technical leaders in a fast-paced environment with evolving technologies and priorities.

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.