Senior Windows Systems Engineer: AI & Scalable Infra

Hewlett Packard Co.; Spring (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Hewlett Packard Co. is seeking a Senior Windows System Engineer in Spring, TX to oversee design, implementation and maintenance of robust software systems for HP commercial PCs.

You will collaborate with cross-functional teams to deliver scalable solutions and drive reliable, high-performance software across platforms. The role requires deep expertise in Windows internals, AI workloads, microservices, and cloud integration.

Qualifications

• Four-year or graduate degree in computer science, information systems, or related discipline, or equivalent experience.
• Typically has 7–10 years of work experience in systems engineering or related field.

Responsibilities

• Oversees design, implementation and maintenance of robust software systems for HP commercial PCs.
• Collaborates with cross-functional teams to deliver solutions that integrate with existing infrastructure and end-user needs.
• Monitors and tests performance to identify bottlenecks and works with developers to implement fixes.
• Leads multiple project teams responsible for all stages of design, development, and integration.
• Provides guidance and mentoring to less-experienced staff and ensures compliance with standards.

Skills

AI workloads

Agile methodologies

C++

Python

SQL

Windows internals

Microservices

API

Software development

Software engineering

Debugging

Scalability

Azure

Computer science

Education

Four-year or Graduate Degree in Computer Science, Information Systems, or related discipline

Tools

Microsoft Azure

Job description

Hewlett Packard Co. is seeking a Senior Windows System Engineer in Spring, TX to oversee design, implementation and maintenance of robust software systems for HP commercial PCs.

You will collaborate with cross-functional teams to deliver scalable solutions and drive reliable, high-performance software across platforms. The role requires deep expertise in Windows internals, AI workloads, microservices, and cloud integration.