Product Marketing Manager - Inference Optimization Software

$184,000 - $345,000/Yr

Nvidia - Santa Clara, CA

Full-time - Mid Level

Santa Clara, CA

Computer and Electronic Product Manufacturing

About the position

The Technical Product Marketing Manager at NVIDIA will play a crucial role in promoting AI-powered solutions, specifically focusing on model optimization and deployment. This position involves creating go-to-market strategies, developing marketing materials, and engaging with developers to showcase the capabilities of NVIDIA's TensorRT and TensorRT-LLM. The ideal candidate will blend technical expertise with marketing acumen to effectively communicate product value and drive awareness in the developer community.

Responsibilities

• Build product positions by collaborating with business leaders to communicate product value to developers.
• Develop and complete marketing plans ensuring consistent messaging across all materials.
• Collaborate with cross-functional teams to implement marketing strategies effectively.
• Segment and target audiences, identify asset gaps, and create developer-centric marketing content.
• Represent NVIDIA at trade shows, conferences, and customer meetings to grow the developer community.

Requirements

• Familiarity with popular large language models like Llama, GPT, Gemma, and Phi.
• Understanding of kernel fusion, quantization, memory manipulation, and model optimization techniques for inference deployment.
• Experience with compilers such as OAI Triton, XLA, MLIR, and frameworks like PyTorch, JAX, and ONNX.
• Ability to explain core computer science concepts related to performance, such as Amdahl's law.
• 10+ years of meaningful work experience in a technical marketing role related to deep learning software.
• A degree in Computer Science, Computer Engineering, or a similar field (or equivalent experience).
• Proficiency in modern programming languages like Python.
• Outstanding written and verbal communication and interpersonal skills.

Nice-to-haves

• Experience in marketing inference optimization products.
• Familiarity with NVIDIA GPUs and the CUDA parallel programming model.
• Direct experience with NVIDIA TensorRT-LLM.
• A Master's degree or equivalent experience from a leading university in software engineering or computer science.

Benefits

• Equity options
• Comprehensive health insurance
• 401k retirement plan
• Paid time off and holidays
• Flexible work hours
• Professional development opportunities