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 the pay of employees in similar positions. The base salary range is 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.
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.Skills Required
- Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Computer Science, or related field (or equivalent experience)
- Minimum of 5 years of meaningful experience
- 3+ years hands-on familiarity with CAE simulation tools (STAR-CCM+, Fluent, FUN3D, OVERFLOW, LS-DYNA, Abaqus, HFSS)
- Experience with Linux-based HPC environments, job schedulers (Slurm, PBS, LSF) and MPI-based workloads
- Strong understanding of how CPU/GPU utilization, memory, and interconnects impact parallel performance
- Passionate about communicating complex ideas in simple ways
- Master's degree or higher in Engineering or Computer Science
- Direct experience with multiple ISV applications across CAE and EDA domains
- Experience with containerized HPC environments
- Strong interpersonal skills
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
