Technical Marketing Engineer - AI Platform Software

What you'll do

• Assess new training and inference features from a developer’s perspective and create technical content, documentation, and code samples.
• Collaborate with engineers, researchers, product, and marketing teams; engage with developers and bring feedback to product and engineering.
• Benchmark inference platforms and generate performance data.

What they ask for

• Bachelor's degree in Computer Science, Computer Engineering, or similar field or equivalent experience.
• 4+ years of practical deep learning or machine learning experience, including research conducted during undergraduate and graduate studies.
• Hands-on experience with at least one training or inference framework, such as PyTorch, JAX, Megatron, TensorRT-LLM, vLLM, or SGLang, or comparable tools.
• Solid understanding of Python or C/C++, programming techniques, and software development.

Nice to have

• Advanced knowledge of modern LLM and AI software architecture, including attention kernels, parallelism strategies, quantization, KV cache management, and request scheduling.
• Public AI project or developer forum contributions, or experience benchmarking multi-GPU systems.

Pay

136,000 USD - 212,750 USD (base salary, Level 3); 160,000 USD - 253,000 USD (base salary, Level 4)

Tools

cuDNN, NCCL, PyTorch, Megatron, TensorRT-LLM, Dynamo, JAX, vLLM

AI focus

Assesses and explains AI training and inference features; develops technical guidance, code examples, and benchmarks for NVIDIA’s AI software platforms.