Senior Technical Marketing Engineer – CAE Performance

🕒 July 31

🏄 California – Remote

🏄 California – Remote

💵 $136k - $253k / year

⏰ Full Time

🟠 Senior

🎡 Marketing

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NVIDIA

WebsiteLinkedInAll Job Openings

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 GPU acceleration for real-world simulation workloads, including scaling analysis, solver comparisons, and workflow profiling • Collaborate with internal engineering and marketing teams and external partners to build technical content, 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 researchers and developers using NVIDIA-accelerated CAE workflows

🎯 Requirements

• Bachelor's 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 • Experience with job schedulers such as Slurm, PBS, or LSF • Experience with MPI-based workloads • Strong understanding of how CPU/GPU utilization, memory, and interconnects impact parallel performance • Ability to communicate complex ideas simply • Master's degree or higher in Engineering or Computer Science is a preferred qualification • Direct experience with multiple ISV applications across CAE and EDA domains is preferred • Experience with containerized HPC environments is preferred

🏖️ Benefits

• Equity • Benefits