- Clementi West Region (Singapore) Singapore
Full Time Director, System Engineering and IT-AI Infrastructure Jobs, Salary up to SGD 16,000 in SYMATICS TECHNOLOGY PTE. LTD. West Region (Singapore) - Maukerja
Director, System Engineering and IT-AI Infrastructure
SYMATICS TECHNOLOGY PTE. LTD.
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Job Description
Responsibilities
Responsibilities
System Engineering
Lead system-level engineering for MPU-based platforms, including reference boards and servers, platform bring-up and system validation.
Support OEM/ODM customer designs from early design-in through new product introduction (NPI) and mass production.
Define and run customer and partner POCs, including AI workload deployment, optimisation, validation and demonstration.
Set up engineering support processes (RFQ support, issue tracking, quality and design-readiness reviews) across internal teams and external partners.
Turn customer requirements into feedback for the product and engineering teams.
IT/AI Infrastructure
Plan, build and run the company’s IT infrastructure, including networks, end-user systems, cloud and on-premise resources, and access management.
Build and manage compute infrastructure for engineering and AI workloads, such as GPU/AI servers, lab environments and EDA/simulation resources.
Own information security, data protection and IT policies, in line with company and regulatory requirements.
Manage IT and infrastructure vendors, budgets and capacity planning.
Leadership
Build and lead the system engineering and infrastructure team.
Report to senior management and work with product, GTM and operations teams.
Requirements
Degree in Electrical, Electronic, Computer or Mechanical Engineering, Computer Science, or a related field.
At least 10 years in the semiconductor, PC or computing hardware industry, including at least 8 years managing people.
Strong knowledge of PC or server system architecture, platform bring-up and hardware/software enablement.
Experience supporting OEM/ODM or add-in-board (AIB) customer designs through NPI.
Hands-on experience delivering AI POCs (Proof of Concept), from model deployment and optimisation to validation and customer demonstration.
Experience managing engineering lab, compute or IT infrastructure.
Familiar with Linux and Windows environments and with hardware design tools such as OrCAD and Allegro.
Strong communication skills, including presenting to customers and executives.
Able to travel regionally.
System Engineering
Lead system-level engineering for MPU-based platforms, including reference boards and servers, platform bring-up and system validation.
Support OEM/ODM customer designs from early design-in through new product introduction (NPI) and mass production.
Define and run customer and partner POCs, including AI workload deployment, optimisation, validation and demonstration.
Set up engineering support processes (RFQ support, issue tracking, quality and design-readiness reviews) across internal teams and external partners.
Turn customer requirements into feedback for the product and engineering teams.
IT/AI Infrastructure
Plan, build and run the company’s IT infrastructure, including networks, end-user systems, cloud and on-premise resources, and access management.
Build and manage compute infrastructure for engineering and AI workloads, such as GPU/AI servers, lab environments and EDA/simulation resources.
Own information security, data protection and IT policies, in line with company and regulatory requirements.
Manage IT and infrastructure vendors, budgets and capacity planning.
Leadership
Build and lead the system engineering and infrastructure team.
Report to senior management and work with product, GTM and operations teams.
Requirements
Degree in Electrical, Electronic, Computer or Mechanical Engineering, Computer Science, or a related field.
At least 10 years in the semiconductor, PC or computing hardware industry, including at least 8 years managing people.
Strong knowledge of PC or server system architecture, platform bring-up and hardware/software enablement.
Experience supporting OEM/ODM or add-in-board (AIB) customer designs through NPI.
Hands-on experience delivering AI POCs (Proof of Concept), from model deployment and optimisation to validation and customer demonstration.
Experience managing engineering lab, compute or IT infrastructure.
Familiar with Linux and Windows environments and with hardware design tools such as OrCAD and Allegro.
Strong communication skills, including presenting to customers and executives.
Able to travel regionally.
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