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This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world.
Job Responsibility:
Designs limited enhancements, updates, and programming changes for portions and subsystems of systems software, including operating systems, compliers, networking, utilities, databases, and Internet-related tools
Analyzes design and determines coding, programming, and integration activities required based on specific objectives and established project guidelines
Executes and writes portions of testing plans, protocols, and documentation for assigned portion of application
identifies and debugs issues with code and suggests changes or improvements
Participates as a member of project team of other software systems engineers and internal and outsourced development partners to develop reliable, cost effective and high quality solutions for assigned systems portion or subsystem
Collaborates and communicates with internal and outsourced development partners regarding software systems design status, project progress, and issue resolution
Creates and maintains APIs for hardware abstraction layers to facilitate software-hardware integration
Collaborates with hardware design teams to ensure seamless integration and functionality
Conducts thorough testing and debugging of SDKs to ensure reliability and performance
Provides technical support and documentation for SDK users and developers
Requirements:
Bachelor's degree in Computer Science, Information Systems, Computer engineering, Mechatronics, Electronic/electrical engineering
Typically 0-2 years experience
Using software systems design tools and languages
Ability to apply analytical and problem solving skills
Designing software systems running on multiple platform types
Software systems testing methodology, including execution of test plans, debugging, and testing scripts and tools
Strong written and verbal communication skills
mastery in English and local language
Familiarity with core AI principles such as supervised and unsupervised learning, model training and evaluation, and algorithm selection
Experience applying AI to solve practical problems
Ability to integrate AI components into software systems and collaborate to deploy models in production environments
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