Senior AI Platform Engineer

HP•Houston, TX

About The Position

This role oversees the design, implementation, and maintenance of robust, scalable AI software systems for HP commercial PCs. It collaborates with cross-functional teams—including AI software developers, system administrators, and project managers—to develop solutions that integrate with existing infrastructure and deliver value to end users. The role ensures software-system efficiency, reliability, and performance, and guides team members in developing validation execution plans for new technologies. The position leads complex software-systems design and development work, provides domain-specific expertise across organizational projects, and drives the integration of new technologies. It also manages relationships with internal and outsourced development partners and mentors less-experienced staff.

Requirements

Four-year or graduate degree in Computer Science, Information Systems, or a related discipline, or commensurate work experience or demonstrated competence.
Typically 7–10 years of work experience, preferably in systems engineering, computer programming language, or a related field.
Knowledge of AI workloads and inferencing, Agile methodology, APIs, C++, computer science, debugging, microservices, Microsoft Azure, Python, scalability, software development, software engineering, SQL, and Windows 11 internals.
Effective communication, results orientation, learning agility, digital fluency, and customer centricity.

Nice To Haves

Certified Software Systems Engineer (CSSE).
Certified Systems Engineering Professional (CSEP).

Responsibilities

Deliver AI-related system software that supports the best customer experience.
Oversee installation, configuration, testing, and maintenance of operating systems, AI application software, and system management tools.
Monitor and test AI application performance, identify potential bottlenecks and solutions, and work with developers to implement fixes.
Optimize software systems for performance, scalability, and resource efficiency.
Gather infrastructure-component system engineering requirements by working with engineering groups and other stakeholders.
Lead multiple project teams of software systems engineers through all stages of design and development for complex products and platforms, including solution design, analysis, coding, testing, and integration.
Manage and expand relationships with internal and outsourced development partners on software systems design and development.
Review and evaluate designs and project activities for compliance with systems design and development guidelines and standards; provide feedback to improve product quality and mitigate failure risk.
Provide domain-specific expertise and software systems leadership to cross-organization projects, programs, and activities.
Drive innovation and integration of new technologies into projects and activities in the software systems design organization.
Provide guidance and mentoring to less-experienced staff members.
Guide team members in developing validation execution plans for new technologies.