Scientific Computing Engineer - GPU & Physics Simulations

Socket.dev

Cupertino (CA)

On-site

USD 120,000 - 170,000

Full time

5 days ago
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Job summary

Apple is seeking a highly motivated Scientific Computing Engineer to join the All-Scale Modeling team in Cupertino, CA. You will work at the forefront of development, contributing to differentiating platforms and technologies for products that delight millions of customers worldwide.

The role requires strong C/C++ HPC experience, GPU programming with CUDA or Metal, and hands-on experience with numerical methods for physics simulations including electromagnetics, mechanics, fluids, or thermal

Qualifications

  • B.S. in Electrical Engineering, Computer Science, Mechanical Engineering, Applied Physics, Aerospace Engineering, or a related engineering degree.
  • Experience programming in C or C++ for high-performance computing applications.
  • Experience with GPU programming using CUDA or Metal.
  • Experience implementing numerical methods: Meshing, FEM, FDM, FVM or modeling physics (electromagnetics, mechanics, fluid dynamics, thermal).
  • 3 years relevant industry experience.
  • MS or Ph.D. in Electrical Engineering, Computer Science, Mechanical Engineering, Applied Physics, Aerospace Engineering, or related field.

Responsibilities

  • Contribute to development of differentiating platforms for products that delight millions.
  • Work on all-scale modeling and high-performance simulations.
  • Communicate findings to influence roadmap decisions.

Skills

C/C++ HPC
CUDA/Metal GPU
Numerical methods

Education

Bachelor's degree in EE/CS/ME/Applied Physics/Aerospace or related
MS/PhD in relevant field

Tools

CUDA
Metal

Job description

Apple is seeking a highly motivated Scientific Computing Engineer to join the All-Scale Modeling team in Cupertino, CA. You will work at the forefront of development, contributing to differentiating platforms and technologies for products that delight millions of customers worldwide.

The role requires strong C/C++ HPC experience, GPU programming with CUDA or Metal, and hands-on experience with numerical methods for physics simulations including electromagnetics, mechanics, fluids, or thermal

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