Datacenter Principal Product Engineer, AI/Server Systems

Jabil

Región Centro

On-site

MXN 900,000 - 1,300,000

Full time

14 days+

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Job summary

Jabil is seeking a Principal Product Engineer to lead end-to-end development of AI/ML, CPU, GPU and server platforms within the Intelligent Infrastructure Division. You will partner with customers, suppliers, engineering, program management, and manufacturing to ensure products meet stringent performance and reliability standards.

You will guide cross-functional teams across hardware, software, firmware, and test to drive innovation, improve FPY and yield, and support large-scale production

Qualifications

  • BS in Mechanical Engineering or related field; MS preferred.
  • 6+ years in a hardware product development environment with enterprise servers, storage or networking products.
  • Experience working in multi-site and multi-cultural environments.
  • Domestic and/or international travel, up to 20%, may be required.

Responsibilities

  • Lead end-to-end product development for AI/ML, CPU, GPU, network, and server platforms.
  • Collaborate with hardware, software, firmware, performance, and interoperability teams to meet demanding standards.
  • Guide customer and Jabil operations teams to resolve complex product, process, and material issues using rigorous analytical methods.
  • Provide engineering support across multiple manufacturing sites in the areas of product, test infrastructure, component and supplier expertise.

Skills

Server architectures
Storage systems
Networking
GPU/PCIe accelerators
Linux
Linux scripting
Prototype testing
Root cause analysis

Education

BS in Mechanical Engineering
MS preferred

Job description

Jabil is seeking a Principal Product Engineer to lead end-to-end development of AI/ML, CPU, GPU and server platforms within the Intelligent Infrastructure Division. You will partner with customers, suppliers, engineering, program management, and manufacturing to ensure products meet stringent performance and reliability standards.

You will guide cross-functional teams across hardware, software, firmware, and test to drive innovation, improve FPY and yield, and support large-scale production

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