SDE: AI-Powered R&D Tools for LaserJet

HP

Singapore

On-site

SGD 120,000 - 180,000

Full time

18 hours ago
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Benefits offered by this job

Relocation

Job summary

HP Singapore seeks a Software Development Engineer in LaserJet R&D to design, develop, and optimize software applications, data platforms, and reporting solutions. You will enable AI-assisted engineering workflows and data-driven decision making across global R&D teams, collaborating with Hardware R&D and support teams to translate requirements into scalable software tools.

Responsibilities include building automation, data-management solutions, and secure data pipelines, with a focus on

Qualifications

  • Bachelor's degree in a technical discipline.
  • 5-7 years in software development or related R&D environments.
  • Experience with business-critical software platforms, databases, and web applications.

Responsibilities

  • Lead end-to-end integration across software applications, databases, backend services, and web technologies.
  • Troubleshoot and resolve software, database, application integration, and test execution issues.
  • Partner with Hardware R&D engineers to understand engineering challenges and deliver software solutions.
  • Build secure data-management solutions for data collection, storage, processing, visualization, and reporting.
  • Develop scalable software to improve productivity and operational efficiency.
  • Design, develop, deploy, and support software applications, databases, web portals, and reporting tools.

Skills

End-to-end integration
Troubleshooting
Data management
Automation tools
Cross-functional collaboration

Education

Bachelor's degree in Computer Science or related field

Job description

HP Singapore seeks a Software Development Engineer in LaserJet R&D to design, develop, and optimize software applications, data platforms, and reporting solutions. You will enable AI-assisted engineering workflows and data-driven decision making across global R&D teams, collaborating with Hardware R&D and support teams to translate requirements into scalable software tools.

Responsibilities include building automation, data-management solutions, and secure data pipelines, with a focus on

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