Senior Windows Systems Engineer: AI-Ready & Scalable

HP Inc.

Palo Alto (CA)

On-site

USD 140,000 - 170,000

Full time

3 days ago
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Job summary

HP Inc. is seeking a Senior Windows System Engineer to oversee the design, implementation, and maintenance of scalable software systems for HP commercial PCs. You will collaborate with developers, admins, and managers to integrate solutions with existing infrastructure and ensure reliability and performance.

You will guide teams, define validation plans for new technologies, and drive performance improvements, scalability, and system optimization across complex products and platforms.

Qualifications

  • Four-year or Graduate Degree in Computer Science, Information Systems, or related discipline.
  • Typically 7–10 years of work experience in systems engineering or related field.

Responsibilities

  • Oversees design, implementation, and maintenance of robust software systems.
  • Leads multiple project teams through design, coding, testing, and integration.
  • Gathers requirements with engineering groups and stakeholders for infrastructure components.
  • Reviews designs for compliance with standards and provides feedback to improve quality.
  • Guides and mentors less-experienced staff.
  • Drives innovation and integration of new technologies into projects.

Skills

AI workloads
Agile Methodology
API
C++
Azure
Python
Microservices
SQL
Windows 11 internals
Software Development
Software Engineering
Computer Science
Debugging
Scalability

Education

Bachelor's degree in Computer Science or related field

Tools

Microsoft Azure

Job description

HP Inc. is seeking a Senior Windows System Engineer to oversee the design, implementation, and maintenance of scalable software systems for HP commercial PCs. You will collaborate with developers, admins, and managers to integrate solutions with existing infrastructure and ensure reliability and performance.

You will guide teams, define validation plans for new technologies, and drive performance improvements, scalability, and system optimization across complex products and platforms.

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