Senior Technical Marketing Engineer – CAE Performance

🕒 July 31

💵 $136k - $253k / year

⏰ Full Time

🟠 Senior

🎡 Marketing

Where this job comes from

Posted on NVIDIA's careers page, not through a job board

First seen by Remote Rocketship July 31

Logo of NVIDIA

NVIDIA

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Maintain a suite of CAE solver benchmarks and results across NVIDIA platforms • Build and complete performance studies demonstrating the value of GPU acceleration for real-world simulation workloads • Perform scaling analysis, solver comparisons, and workflow profiling • Collaborate with internal engineering and marketing teams and external partners to build technical content • Create benchmark methodology guides, performance reference architectures, and solution briefs • Deliver technical material through blogs, whitepapers, training materials, and conference presentations • Build training materials and documentation for NVIDIA-accelerated CAE workflows

🎯 Requirements

• Bachelor's degree or equivalent experience in Mechanical Engineering, Aerospace Engineering, Computer Science, or a related field • 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 such as Slurm, PBS, and LSF • Experience with MPI-based workloads • Strong understanding of how CPU/GPU utilization, memory, and interconnects impact parallel performance • Master's degree or higher in an Engineering or Computer Science related field (preferred/standout) • Direct experience with multiple ISV applications across CAE and EDA domains • Experience with containerized HPC environments

🏖️ Benefits

• Equity • Benefits

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