AI/ML-Driven HPC Simulation Engineer

Rescale

United States

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Rescale is hiring an HPC Engineer, AI and Data to advance our platform at the intersection of HPC and AI for CAE workflows. You will work on complex problems, integrate AI into engineering simulations, and collaborate with a focused development team to deliver customer value.

Ideal candidates have a PhD and 3+ years in ML/AI with strong software skills, including PyTorch, CUDA, and Kubernetes, and a passion for continuous learning.

Qualifications

  • Advanced degree in Machine Learning, CS, Aerospace Engineering, or related field (PhD preferred).
  • 3+ years of industry experience.
  • Strong problem-solving and self-motivation.
  • Software development experience.
  • Expertise in HPC and applying AI to CAE workflows.
  • Proficiency in PyTorch, Modulus, PyG, CAE/CFD/FEA, REST API, CUDA, Kubernetes.
  • Excellent communication and teamwork.
  • Ability to work independently and manage multiple tasks.
  • Commitment to continuous learning.

Responsibilities

  • Become an expert in the Rescale platform and its application to customer workflows.
  • Solve complex HPC AI problems for customers on our platform.
  • Integrate cutting-edge AI technologies into CAE workflows.
  • Collaborate with a dynamic and agile development team.
  • Engage directly with customers to understand their needs and provide tailored solutions.
  • Contribute to the development and enhancement of our AI software products.
  • Stay updated with the latest advancements in HPC and AI technologies.
  • Participate in code reviews and provide constructive feedback to peers.

Skills

PyTorch
Modulus
PyG
CAE/CFD/FEA
REST API development
CUDA
Kubernetes
Software development

Education

PhD in ML/CS/Aerospace Eng

Tools

REST API development
CUDA
Kubernetes

Job description

Rescale is hiring an HPC Engineer, AI and Data to advance our platform at the intersection of HPC and AI for CAE workflows. You will work on complex problems, integrate AI into engineering simulations, and collaborate with a focused development team to deliver customer value.

Ideal candidates have a PhD and 3+ years in ML/AI with strong software skills, including PyTorch, CUDA, and Kubernetes, and a passion for continuous learning.

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