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HP

Senior System Software Engineer- AI

Houston, TX; Houston, TXUnited States
Senior · Software
POSTED 8 OCT
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Pay · market
$145k–$166k
p25–p75 · n=4
Open for
29d
since 8 Oct
Hiring · 30d
24
−1 net · open roles

About HP

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.

Team Summary

This role brings together three areas of expertise supporting next-generation HP commercial PCs and AI experiences:

Senior Windows System Engineer

Leads the design, implementation, validation, and optimization of robust and scalable Windows-based software systems for HP commercial PCs. This role focuses on system performance, reliability, integration, and delivering a high-quality customer experience across complex hardware and software environments.

Senior Software Engineer, AI Networking

Designs and develops Windows-based systems and networking infrastructure that support AI workloads. This role focuses on networking performance, system reliability, scalability, and seamless integration of AI software and services to deliver high-performing customer experiences.

Senior Enterprise Manageability & Policy Engineer

Leads the development of software and services that enable enterprise manageability of AI capabilities on Windows PCs. This role focuses on making AI software and services discoverable, measurable, transparent, and manageable across enterprise environments.

Across these areas, the role partners closely with software developers, system administrators, product teams, project managers, and other engineering organizations to develop solutions that integrate seamlessly with existing infrastructure and deliver value to end users. The role provides technical leadership, drives the adoption of new technologies, and helps define validation strategies for new systems and capabilities.

Responsibilities

  • Lead the design, development, implementation, integration, testing, and maintenance of complex Windows-based software systems, AI workloads, networking infrastructure, and enterprise manageability solutions.
  • Deliver system software and services that provide a reliable, performant, secure, and differentiated customer experience.
  • Design and develop solutions that enable AI workloads and services on Windows PCs, with a focus on networking performance, system efficiency, reliability, and scalability.
  • Develop enterprise manageability and policy capabilities that provide discoverable, transparent measurement and control of AI software and services on Windows PCs.
  • Oversee the installation, configuration, testing, and maintenance of operating systems, application software, AI applications, networking components, and system management tools.
  • Monitor, measure, and analyze system and application performance to identify bottlenecks, reliability issues, and opportunities for optimization; partner with developers to implement solutions.
  • Optimize software systems for performance, scalability, reliability, resource efficiency, and overall user experience.
  • Define and gather system engineering requirements for infrastructure, networking, AI, manageability, and policy components in partnership with engineering teams and key stakeholders.
  • Lead multiple project teams through all stages of software system development, including architecture and solution design, analysis, coding, testing, validation, integration, and deployment.
Source · HPFirst seen 2 NovOriginal ↗