HPC Engineer - AI and Data

January 23

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Logo of Rescale

Rescale

Rescale is High Performance Computing Built for the Cloud! ☁️Rescale empowers organizations to achieve science and engineering breakthroughs by eliminating complexity. From supersonic jets to personalized medicine, engineers are accelerating new product innovations with unprecedented speed and efficiency with the Rescale Platform - a solution for intelligent full-stack automation for big compute and R&D collaboration on hybrid cloud. Rescale enables IT leaders to deliver high performance computing as a service, with software automation on a hybrid cloud control plane with security, architecture, and financial controls.We are located in San Francisco and work with users in the aerospace, automotive, energy, life sciences, construction, marine, consumer products, and manufacturing industries. For more info sales@rescale.com

High Performance Computing • Simulation • Computational Fluid Dynamics • Finite Element Analysis • Optimization

201 - 500 employees

Founded 2011

💰 $55M Series C on 2021-11

📋 Description

• Rescale is high performance computing built for the cloud. • We empower engineers while giving IT security and control. • Industry leaders are bringing new product innovations to market with unprecedented speed and efficiency. • Rescale is a cloud platform delivering intelligent full-stack automation and performance optimization. • IT leaders use Rescale to deliver HPC-as-a-Service with a secure control plane to deliver any application, on any architecture, at any scale on their cloud of choice. • We are seeking a highly motivated and experienced HPC Engineer, AI and Data to join our team.

🎯 Requirements

• Advanced degree in Machine Learning, Computer Science, Aerospace Engineering, or a related field (preferably a PhD). • 5-10 years of industry experience. • Strong problem-solving skills and self-motivation. • Software development experience • Expertise in HPC and applying AI technology to CAE workflows. • Proficiency in key skills: PyTorch, Modulus, PyG, CAE/CFD/FEA, REST API development, CUDA, Kubernetes, and more. • Excellent communication and teamwork skills. • Ability to work independently and manage multiple tasks effectively. • Passion for continuous learning and professional development.

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