Nvidia Senior Technical Marketing Engineer AI Infrastructure 

United States, California 

767774486

What you’ll be doing:

• Run multi‑node training/inference jobs on large GPU clusters to assess performance, validate usability, improve products, and create developer education.

• Design benchmark suites that spotlight NVIDIA hardware, networking, and software stacks.

• Profile deep‑learning workloads, identify bottlenecks, and deliver optimization guidance.

• Produce concise tutorials, scripts, and whitepapers for customers and tech press.

• Analyze competitive solutions and craft data‑driven product positioning.

• Present live demos at GTC, CES, SIGGRAPH, and other global conferences.

What we need to see:

• Passionate about AI infrastructure and performance optimization.

• 3+ years in software development, tech marketing, evangelism, or similar roles.

• BS/MS in CS, CE, EE, or related field (or equivalent experience).

• Strong Python and C++ skills for AI and HPC work.

• Hands‑on multi-node experience with Slurm, Kubernetes, or cloud CSP clusters.

• Solid grasp of DL architectures, PyTorch, and distributed training methods.

• Understanding of CPU/GPU architecture plus CUDA, cuDNN, TensorRT‑LLM, Triton, NCCL

• Excellent written and verbal communication for technical and executive audiences.

Ways to stand out from the crowd:

• Hands‑on experience setting up and tuning HPC clusters with Slurm, Kubernetes, or other schedulers.

• Public technical blogs, talks, forum activity, or notable open‑source projects as well as prior work with customers and/or technical press on AI performance topics.

• Exceptional communication skills that simplify complex technology for diverse audiences.

• Familiarity with modern LLM architectures and ability to write Torch code and occasional custom GPU kernels.

• Expertise in InfiniBand, NVLink, RoCE, RDMA, and collective‑comm libraries.