2 days ago

Senior Technical Marketing Engineer - CAE Performance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Develop CAE performance and benchmarking technical marketing content to educate developers and engineers on NVIDIA-accelerated CAE workflows. Maintain benchmarking suites and publish performance studies, solver comparisons, and workflow profiling across NVIDIA platforms. Partner with engineering, marketing, and external stakeholders to create how-to technical assets, training materials, and documentation, including blogs, whitepapers, and conference presentations.

Location: Santa Clara

Employment Type: Full time

Job Function: Marketing & Growth

Seniority: Mid level

Key Responsibilities

•Maintain a suite of CAE solver benchmarking results across NVIDIA platforms and build performance studies with scaling analysis, solver comparisons, and workflow profiling.
•Collaborate with engineering and marketing teams (and external partners) to create product-based how-to technical content such as methodology guides and solution briefs.
•Deliver technical materials including blogs, whitepapers, training materials, and conference presentations based on benchmark findings and platform capabilities.
•Create training materials and documentation to help researchers and developers maximize NVIDIA-accelerated CAE workflows.

Pay and Benefits

Salary: USD 136,000 - 253,000 annually

Equity and Bonus:Equity

Key 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 CAE simulation 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.
•Strong ability to communicate complex ideas clearly and simply.
•Strong understanding of how CPU/GPU utilization, memory, and interconnects impact parallel performance.

Experience:5+ years

Education:Bachelor's

Skills:CommunicationInterpersonal skillsSelf-motivated

Tech Stack:STAR-CCM+FluentFUN3DOVERFLOWLS-DYNAAbaqusHFSSLinuxSlurmPBSLSFMPIGPU accelerationCPU/GPU utilization

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

2 days ago

Senior Technical Marketing Engineer - CAE Performance

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: Santa Clara

Employment Type: Full time

Job Function: Marketing & Growth

Seniority: Mid level

Key Responsibilities

•Maintain a suite of CAE solver benchmarking results across NVIDIA platforms and build performance studies with scaling analysis, solver comparisons, and workflow profiling.
•Collaborate with engineering and marketing teams (and external partners) to create product-based how-to technical content such as methodology guides and solution briefs.
•Deliver technical materials including blogs, whitepapers, training materials, and conference presentations based on benchmark findings and platform capabilities.
•Create training materials and documentation to help researchers and developers maximize NVIDIA-accelerated CAE workflows.

Pay and Benefits

Salary: USD 136,000 - 253,000 annually

Equity and Bonus:Equity

Key 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 CAE simulation 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.
•Strong ability to communicate complex ideas clearly and simply.
•Strong understanding of how CPU/GPU utilization, memory, and interconnects impact parallel performance.

Experience:5+ years

Education:Bachelor's

Skills:CommunicationInterpersonal skillsSelf-motivated

Tech Stack:STAR-CCM+FluentFUN3DOVERFLOWLS-DYNAAbaqusHFSSLinuxSlurmPBSLSFMPIGPU accelerationCPU/GPU utilization

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor