Senior AI Platform Engineer

HP Inc
Houston, TX, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

Microsoft Windows Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Systems Engineering Microsoft Azure C++ (Programming Language) Information Systems Computer Programming Computer Literacy Software Debugging Python (Programming Language)
+7 more
Software Engineering Software Systems SQL Databases System Software AI Platforms Information Technology Microservices

Job description

  • This role is responsible for overseeing the design, implementation, and maintenance of robust and scalable AI software systems for HP commercial PCs. The role collaborates with cross-functional teams, including AI software developers, system administrators, and project managers, to create solutions that integrate seamlessly with existing infrastructure and deliver value to end-users. The role ensures the efficiency, reliability, and performance of software systems. The role provides guidance to other team members on developing validation execution plans for new technologies.

Responsibilities

  • Focuses on delivering AI related system software for the best customer experience.

  • Oversees the installation, configuration, testing and maintenance of operating systems, AI application software, and system management tools.
  • Monitors and tests AI application performance for potential bottlenecks, identifies possible solutions, and works with developers to implement those fixes.
  • Optimizes software systems for performance, scalability, and resource efficiency to ensure optimal user experience.
  • Gathers all the system engineering requirements for the infrastructure components by working with engineering groups and other stakeholders.
  • Leads multiple project teams of other software systems engineers responsible for all stages of design and development for complex products and platforms, including solution design, analysis, coding, testing, and integration.
  • Manages and expands relationships with internal and outsourced development partners on software systems design and development.
  • Reviews and evaluates designs and project activities for compliance with systems design and development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
  • Provides domain-specific expertise and overall software systems leadership and perspective to cross-organization projects, programs, and activities.
  • Drives innovation and integration of new technologies into projects and activities in the software systems design organization.
  • Provides guidance and mentoring to less- experienced staff members., * Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity

  • Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

Disclaimer

  • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Requirements

Artificial Intelligence (AI), People Management, Project/Program Management, Software Development, Cross-Functional, Systems Administration/Management, Artificial Intelligence (AI), Validation Plan, Systems Scalability, Hewlett-Packard Systems, * Four-year or Graduate Degree in Computer Science, Information Systems, or any other related discipline or commensurate work experience or demonstrated competence.

  • Typically has 7-10 years of work experience, preferably in systems engineering, computer programming language, or a related field.

Preferred Certifications

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

Knowledge & Skills

  • AI workloads and inferencing

  • Agile Methodology
  • Application Programming Interface (API)
  • C++ (Programming Language)
  • Computer Science
  • Debugging
  • Microservices
  • Microsoft Azure
  • Python (Programming Language)
  • Scalability
  • Software Development
  • Software Engineering
  • SQL (Programming Language)

  • Windows 11 internals, * Effective Communication
  • Results Orientation
  • Learning Agility
  • Digital Fluency
  • Customer Centricity

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