Rescale
201 - 500 employees
Founded 2011
💰 $55M Series C on 2021-11
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 [email protected]
Application Engineer, AI Physics
🕒 March 14
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Rescale
201 - 500 employees
Founded 2011
💰 $55M Series C on 2021-11
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 [email protected]
📋 Description
• Build and ship AI Physics capabilities alongside the Rescale AI/ML team • Turn real customer simulation data into AI-ready pipelines using the core AI Physics product • Execute and harden early AI Physics POCs so they are repeatable, reusable, and production-ready • Debug and resolve issues across data preprocessing, models, inference, and workflow orchestration • Work directly with customer engineers to understand their workflows and technical constraints • Close gaps between customer workflows and product capabilities, feeding concrete learnings back into the product roadmap • Act as a builder first, with the ability to be forward-deployed on critical customer engagements when needed
🎯 Requirements
• Strong software engineering fundamentals, with heavy emphasis on Python • Hands-on experience with ML or data-driven systems in production contexts • Familiarity with simulation workflows and engineering data • Experience building and modifying data pipelines and ML workflows • Ability to debug complex issues across data, models, and workflow orchestration • Comfortable working directly with customer engineers on technical problems
🏖️ Benefits
• Offers Equity • Offers Commission
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