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Software Engineer, Tooling and Development Infrastructure

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Hp Iq
Full Time position
Listed on 2025-12-11
Job specializations:
  • Software Development
    Software Engineer, DevOps, Cloud Engineer - Software, Software Testing
Salary/Wage Range or Industry Benchmark: 114000 - 158000 USD Yearly USD 114000.00 158000.00 YEAR
Job Description & How to Apply Below

Software Engineer, Tooling and Development Infrastructure

Who We Are

HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates.

We’re assembling a diverse, world‑class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless.

We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human‑centric mindset.

By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work.

Join us as we reinvent work, so people everywhere can do their best work.

About

The Role

As the Software Engineer, Tooling and Development Infrastructure, you will play a critical role in shaping the developer productivity tools and automated testing strategy. You’ll collaborate closely with design, development, and quality teams to plan, design, and implement robust automated tools and services that ensure the quality and reliability of our AI software stack. You will be highly hands‑on in your work and collaborate closely with stakeholders.

This position offers a unique opportunity to influence the development of cutting‑edge automation frameworks, foster a culture of quality, and contribute to the long‑term success of the organization.

What You Might Do
  • Develop and implement automation frameworks and testing strategies that cover the entire software stack, from backend systems to user‑facing features.
  • Identify, evaluate, and integrate new tools that streamline development. This includes everything from code quality tools and to Infrastructure‑as‑Code (IaC) solutions.
  • Help continuous improvement efforts for our build, release, and test systems, ensuring a robust and efficient CI/CD pipeline.
  • Explore and implement AI tools, such as the OpenAI API, to create both deterministic and non‑deterministic testing approaches that uncover hard‑to‑find bugs.
  • Design and build reusable automated tests and tools that establish a high standard for the team, empowering other engineers to adopt and contribute to best practices.
  • Partner with System Software, Automation, and Test teams to ensure testing strategies are integrated and aligned across the organization.
  • Use your deep understanding of system logs and backend processes to diagnose and resolve complex issues that arise during testing.
Essential Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • 2+ years of experience in automation engineering.
  • Hands‑on experience working with Linux and Windows.
  • Strong proficiency in developing tools for test automation.
  • Deep understanding of observability and telemetry.
  • Good understanding of complete software development life cycle.
  • Proficiency in Python or other object‑oriented programming languages.
Preferred Skills
  • You have a deep understanding of the entire development ecosystem and can design and implement scalable build, release, and test systems.
  • Expertise with CI/CD pipelines is critical, with hands‑on experience in platforms like Jenkins, Git Hub Actions, or Git Lab CI.
  • You are proficient with test automation frameworks such as Pytest, and can lead the adoption of these tools to ensure product quality.
  • You are experienced with observability and monitoring tools, including Splunk, to provide deep insights into system behaviour and performance.
  • Experience with consumer electronics a plus.
  • Familiarity with ML usage. Some familiarity with how to leverage machine learning models in a product environment is a plus.
  • Strong interpersonal and leadership skills. You possess excellent communication skills and a proven ability to manage cross‑functional relationships, driving alignment and collaboration with system software, automation, and test teams.

Salary Range: $114,000 - $158,000

Compensation & Benefits (Full‑Time Employees)

The…

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