Thermal Data Analysis Engineer

Intel Intel · Semiconductors · Arizona, Phoenix, United States

The Thermal Data Analysis Engineer role at Intel focuses on driving thermal design and analysis for GPU and AI accelerators. This involves simulation, experimental work, and cross-functional collaboration to ensure thermal requirements are met for high-performance computing solutions. The role requires expertise in thermal simulation tools, laboratory testing, and applying heat transfer principles to advanced cooling technologies.

What you'd actually do

  1. Support the development of packaging thermal solutions for GPU and AI products.
  2. Develop thermal design strategies for advanced packaging technologies, including chiplets and multi-chip modules.
  3. Perform thermal simulations and analyses to support product development and performance objectives.
  4. Design and execute experiments to characterize thermal performance from advanced package to system-level cooling solutions.
  5. Develop innovative thermal metrology techniques for next-generation thermal management solutions, including two-phase cooling systems and microchannel heat spreaders.

Skills

Required

  • PhD in Mechanical Engineering, Thermal Sciences, Aerospace Engineering, Chemical Engineering, or a related technical field; OR a Master's degree in one of these disciplines with 2+ years of experience in thermal engineering, thermal sciences, or a related field.
  • 2+ years of experience using thermal simulation tools such as Computational Fluid Dynamics (CFD) and/or Finite Element Analysis (FEA)
  • 2+ years of experience performing thermal characterization, validation, and experimental testing in a laboratory environment
  • 2+ years of experience applying heat transfer principles to thermal management solutions for electronic, semiconductor, data center, or high-performance computing products.

Nice to have

  • Supporting semiconductor, GPU, AI accelerator, server, or high-performance computing products.
  • Advanced cooling technologies such as immersion cooling, two-phase cooling, microchannel cooling, or liquid cooling solutions.
  • Developing thermal metrology and measurement techniques.
  • Thermal instrumentation and data acquisition systems, including thermocouples, infrared cameras, flow meters, and related equipment.
  • Correlating simulation results with experimental data.
  • Prototype development and rapid testing methodologies.
  • Statistical analysis and experimental data processing.
  • Power electronics and energy efficiency concepts.
  • Translating experimental results into thermal design recommendations.