
Senior Technical Marketing Engineer - CAE Performance
Required skills
- CAE
- performance studies
- GPU acceleration
- simulation workloads
- Linux
- HPC
- job schedulers
- MPI
- CPU/GPU utilization
- memory
Nice to have
- ISV applications
- containerized HPC
- EDA domains
- agile
- creative
- self-motivated
Role summary
NVIDIA is seeking a Senior Technical Marketing Engineer for its Industrial Engineering organization, focusing on the CAE domain. This role involves creating technical content to educate developers on CAE solvers and the NVIDIA platform. Responsibilities include benchmarking EDA workflows, building performance studies, creating technical marketing assets like guides and solution briefs, and developing training materials and documentation. The ideal candidate has a Bachelor's degree in a related engineering or computer science field with 5+ years of experience, 3+ years of familiarity with CAE simulation tools, and experience with Linux-based HPC environments. A passion for communicating complex technical concepts simply is essential.
The NVIDIA Industrial Engineering organization is a strong and visible team pushing the boundaries of accelerated computing in the CAE domain. We’re looking for a self-starter with a mixture of technical and soft skills to craft technical content to educate and excite developers on groundbreaking technologies in CAE solvers. You will develop content that inspires developers and engineers to adopt the NVIDIA platform through technical marketing assets and enables them through examples, documentation, and tutorials. You will also benchmark EDA workflows to demonstrate the value of the NVIDIA platform in this important industry.
Do you have the rare blend of both technical and communication skills? Are you passionate about groundbreaking technology? Do you love to make highly technical solutions simple and approachable? If so, we would love to learn more about you!
What You'll Be Doing:
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.
What We Need To See:
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.
Ways to stand out from the crowd:
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
We are widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated people in the world working with us. If you are agile, creative, and self-motivated, we want to hear from you.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:136,000 USD – 212,750 USD for Level 3; and 160,000 USD – 253,000 USD for Level 4.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 16, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Originally posted on Himalayas
Sample NVIDIA interview questions
- 1
Design a system for a rock paper scissors game
system designmedium - 2
Implement a distributed data migration management platform.
system designmedium - 3
Design a Distributed Build System with Cross-Data Center Artifact Sharing
system designhard - 4
Design a distributed training system for a trillion-parameter language model
system designmedium - 5
Develop a distributed tracing system for tracking and debugging.
system designmedium
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