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Lead Software Engineer, Device Automation

HP IQ

$150,000 - $210,000
Sep 29, 2025
San Francisco, CA, US
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HP IQ is looking to solve the problem of ensuring the quality and reliability of their AI Pin by developing and scaling automated testing systems. They aim to redefine how the world works, creates, and collaborates by embedding AI advancements into their products and services.

Requirements

  • 10+ years of experience in automation engineering, with a strong focus on device-level automation (experience with consumer electronics is a strong plus).
  • Hands-on experience working with OSx and Linux.
  • Strong proficiency in developing tools for test automation and writing test cases.
  • Deep understanding of automated testing for native Android applications.
  • Proficiency in Python or other object-oriented programming languages.
  • Expertise in designing and implementing scalable build/release/test systems.
  • Familiarity with one or more continuous integration pipeline tools, such as Jenkins, GitHub Actions, or CircleCI.

Responsibilities

  • Develop and lead the implementation of automation frameworks and testing strategies for device-level and user-facing functionality.
  • Drive initiatives to increase automation and improve code quality
  • Mentor and guide junior engineers, fostering skill development and best practices in automation and quality engineering.
  • Collaborate cross-functionally with System Software, Automation, and Test teams to ensure integration and alignment of testing strategies.
  • Build and scale the automation engineering team through recruiting, onboarding, and team development.
  • Utilize AI tools, such as OpenAI API, for deterministic and non-deterministic testing approaches.
  • Design and implement reusable automated tests and tools that set the standard for the team, empowering other engineers to follow best practices.

Other

  • Demonstrated leadership experience, including mentoring engineers or leading technical projects.
  • Strong interpersonal and communication skills, with the ability to manage cross-functional relationships.
  • Proven ability to balance hands-on technical work with team mentorship and leadership responsibilities.
  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).