Senior CAE Benchmark & Technical Marketing Engineer

NVIDIA

Santa Clara (CA)

On-site

USD 136,000 - 253,000

Full time

14 days+

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Job summary

NVIDIA’s Industrial Engineering team seeks a self-starter to craft technical content for educating developers on CAE solvers and NVIDIA platforms. You will benchmark, document, and build tutorials to demonstrate GPU-accelerated workflows and performance improvements across real-world simulations.

The role emphasizes strong communication, collaboration, and producing training materials and slides for conferences. A 5+ year CAE background and expertise with Linux HPC is preferred.

Qualifications

  • Bachelor's degree or equivalent in Mechanical Engineering, Aerospace Engineering, Computer Science, or related field.
  • 5+ years of meaningful experience in CAE/engineering simulation.
  • 3+ years hands-on familiarity with CAE tools such as STAR-CCM+, Fluent, FUN3D, OVERFLOW, LS-DYNA, Abaqus, and HFSS.
  • Experience with Linux-based HPC environments including job schedulers (Slurm, PBS, LSF) and MPI-based workloads.
  • Ability to communicate complex ideas in a clear and approachable manner.
  • Strong understanding of CPU/GPU utilization, memory, and interconnects on parallel performance.

Responsibilities

  • Benchmark CAE solvers across NVIDIA platforms and perform comprehensive performance studies abetting GPU acceleration in real-world workflows.
  • Collaborate with engineering and marketing teams to build product-based technical content — benchmark methodologies, reference architectures, and solution briefs.
  • Deliver high-quality technical material to engineers, developers, and scientists through blogs, whitepapers, training materials, and conference presentations.
  • Create training materials and documentation to maximize researchers' and developers' benefits from NVIDIA-accelerated CAE workflows.

Skills

Communication
Interpersonal skills
Parallel performance understanding

Education

Bachelor's degree in Mechanical Engineering/Aerospace Engineering/Computer Science or related field
Master's degree or higher (preferred)

Tools

STAR-CCM+
Fluent
FUN3D
OVERFLOW
LS-DYNA
Abaqus
HFSS

Job description

NVIDIA’s Industrial Engineering team seeks a self-starter to craft technical content for educating developers on CAE solvers and NVIDIA platforms. You will benchmark, document, and build tutorials to demonstrate GPU-accelerated workflows and performance improvements across real-world simulations.

The role emphasizes strong communication, collaboration, and producing training materials and slides for conferences. A 5+ year CAE background and expertise with Linux HPC is preferred.

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