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Director, System Engineering and IT/AI Infrastructure

Director, System Engineering and IT/AI Infrastructure

symatics technology pte. ltd.
10-13 Years
SGD 12,000 - 16,000 per month
  • Posted 14 hours ago
  • Be among the first 10 applicants

Job Description

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.

More Info

Key Skills

AI workload deployment

Hardware software enablement

Platform bring-up

Windows

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