Senior Technical Marketing Engineer, CAE Performance

Nvidia

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Canada
Salary
$136,000–$212,750 / yr
Posted
25 days ago
Freshness
Confirmed live yesterday
Closes
Sep 30, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $187k
This role $174k
$126k most similar roles pay here $225k

This role pays more than 52% of similar roles. Most pay $158,712–$215,537 — the shaded band above. At the midpoint, this role pays about $174k versus about $187k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Technical Marketing Engineer, CAE Performance

The Senior Technical Marketing Engineer - CAE Performance joins the Industrial Engineering organization to create technical content that educates developers on groundbreaking technologies in CAE solvers. This role involves maintaining a suite of CAE solver benchmarks across platforms and conducting performance studies, including scaling analysis, solver comparisons, and workflow profiling to demonstrate GPU acceleration for real-world simulation workloads. You will collaborate with internal teams and external partners to build how-to technical content, such as benchmark methodology guides, reference architectures, and solution briefs. You will also produce whitepapers, blogs, training materials, and conference presentations. Required expertise includes experience with tools like STAR-CCM+, Fluent, LS-DYNA, or HFSS, along with Linux-based HPC environments using Slurm, PBS, or LSF. Candidates must understand how CPU/GPU utilization, memory, and interconnects impact parallel performance within the CAE domain.

What you'll do

  • Maintain a suite of CAE solver benchmarks and results across various NVIDIA platforms.
  • Conduct performance studies including scaling analysis, solver comparisons, and workflow profiling to demonstrate GPU acceleration value.
  • Create technical content such as benchmark methodology guides, reference architectures, and solution briefs.
  • Produce high-quality marketing materials including blogs, whitepapers, and training materials for engineers and scientists.
  • Deliver technical presentations at conferences to highlight platform capabilities and benchmark findings.
  • Develop documentation and tutorials to help researchers and developers optimize NVIDIA-accelerated CAE workflows.

What we're looking for

  • Bachelor's degree or equivalent experience in Mechanical Engineering, Aerospace Engineering, Computer Science, or a related field.
  • Minimum of 5 years of meaningful experience in the relevant field.
  • At least 3 years of hands-on familiarity with one or more CAE simulation tools such as STAR-CCM+, Fluent, FUN3D, OVERFLOW, LS-DYNA, Abaqus, or HFSS.
  • Experience with Linux-based HPC environments including job schedulers like Slurm, PBS, and LSF, and MPI-based workloads.
  • Strong understanding of how CPU/GPU utilization, memory, and interconnects impact parallel performance.
  • Ability to communicate complex technical ideas in simple ways through blogs, whitepapers, training materials, and presentations.
  • Master's degree or higher in an Engineering or Computer Science related field (preferred).
  • Experience with multiple ISV applications across CAE and EDA domains, or containerized HPC environments (preferred).

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