Senior Technical Marketing Engineer - AI Infrastructure

Nvidia • Santa Clara, CA

412d • $120,000 - $230,000

About The Position

As a Senior Technical Marketing Engineer for AI Infrastructure at NVIDIA, you will be part of a dedicated team focused on enhancing developer and user experiences with NVIDIA's enterprise and datacenter hardware and software products. This role involves collaboration with various teams to advance datacenter GPUs and large-scale GPU computing systems, while also engaging with customers and the tech press to showcase NVIDIA's innovative technologies.

Requirements

• A Bachelor's or Master's in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering or equivalent experience.
• 5+ years of experience in a related field.
• Proficiency in Python and C++ for AI and HPC applications.
• Experience using large scale multi-node GPU infrastructure on premise or in CSPs.
• Background in deep learning model architectures and experience with Pytorch and large scale distributed training.
• Deep understanding of computer architecture and familiarity with GPU architecture fundamentals.

Nice To Haves

• Proficiency in managing job scheduling, workload orchestration, and deploying multi-node GPU clusters using Slurm and Kubernetes.
• Solid understanding of network protocols, distributed system communication, and high-speed interconnects (e.g., InfiniBand, RDMA, Ethernet).
• Hands-on experience with NVIDIA GPUs, HPC storage, networking, and cloud computing.

Responsibilities

• Evaluate and run multi-node jobs on large clusters to assess performance and developer experience in distributed deep learning environments.
• Understand and profile workloads for deep learning applications, educating customers and tech press on benchmarking NVIDIA data center systems.
• Conduct performance benchmarking of AI infrastructure using industry-standard models and frameworks (e.g., vLLM, PyTorch, TensorFlow).
• Engage with product, marketing, hardware, software engineering, and QA teams to improve NVIDIA's product offerings.
• Develop developer-focused content, including tutorials and code samples, to demonstrate features in NVIDIA's tools and libraries.
• Write technical whitepapers, product briefs, and solution blues to highlight innovative use cases and best practices in AI infrastructure.
• Deliver live demos and technical presentations at industry events, showcasing cutting-edge NVIDIA technologies.

Benefits

• Highly competitive salaries
• Comprehensive benefits package
• Equity options

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree