Responsibilities

• Benchmarking: Maintain a suite of CAE solver benchmarking solvers and results across NVIDIA platforms. Build and complete performance studies that demonstrate the value of GPU acceleration for real-world simulation workloads, including scaling analysis, solver comparisons, and workflow profiling.
• Building: Collaborate with internal engineering and marketing teams as well as external partners to build product-based how-to technical content — including benchmark methodology guides, performance reference architectures, and solution briefs.
• Communicating: Deliver high-quality technical material to engineers, developers, and scientists through blogs, whitepapers, training materials, and conference presentations that highlight benchmark findings and platform capabilities.
• Enabling: Build high-quality training materials and documentation to help researchers and developers get the most out of NVIDIA-accelerated CAE workflows.

Requirements

• Bachelor's or equivalent experience in Mechanical Engineering, Aerospace Engineering, Computer Science, or a related field, with a minimum of 5 years of meaningful experience.
• 3+ years of hands-on familiarity with one or more CAE simulation tools such as STAR-CCM+, Fluent, FUN3D, OVERFLOW, LS-DYNA, Abaqus, and HFSS.
• Experience with Linux based HPC environments including job schedulers (e.g., Slurm, PBS, LSF) and MPI-based workloads.
• Passionate about communicating complex ideas in simple ways.
• Strong understanding of how CPU/GPU utilization, memory, and interconnects impact parallel performance.

Preferred

• Master's degree or higher from a leading university in an Engineering or Computer Science related field
• Direct experience with multiple ISV applications across CAE and EDA domains
• Strong interpersonal skills
• Experience with containerized HPC environments