Senior Applied Research Scientist

Job Summary

To support the computational engineering applied research team, the full-time Senior Applied Research Scientist will design GPU-native numerical methods to enhance engineering simulation, focusing on solver algorithms and prototype development in a remote environment.

Key responsibilities

• Invent and reformulate numerical algorithms tailored for modern NVIDIA GPU architectures
• Develop and evaluate linear and nonlinear solver approaches across various engineering domains
• Collaborate with internal teams and external partners to transition research prototypes into software capabilities

Required qualifications

• PhD or equivalent experience in computational mechanics, applied mathematics, scientific computing, or related fields
• 5+ years of relevant work/research experience
• Experience with PDE discretization, finite element methods, and high-performance computing
• Proficiency in C++ and Python, with experience in CUDA or GPU code optimization
• Familiarity with performance analysis and numerical validation for GPU or multi-GPU systems