Senior Technical Marketing Engineer - CAE Performance

Santa Clara, CA (On-site)

$136K/yr – $253K/yrSenior Level5+ years expFull time

Posted 10 hrs ago

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Job Summary

Own and communicate GPU-accelerated CAE benchmarking and related content across NVIDIA platforms, driving benchmarking studies, technical content creation, training materials, and performance analyses for real-world workloads.

  • Lead benchmarking of CAE solvers and performance studies
  • Develop technical content and reference architectures
  • Share findings with engineers, developers, and scientists

Job Description

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

Benefits

  • You will also be eligible for equity and benefits.
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