Product Marketing Manager - TensorRT-LLM

$184,000 - $345,000/Yr

Nvidia - Santa Clara, CA

Full-time - Senior

Santa Clara, CA

Computer and Electronic Product Manufacturing

About the position

The Product Marketing Manager for TensorRT-LLM at NVIDIA is responsible for developing and executing go-to-market strategies for AI-powered solutions, focusing on model optimization and deployment. This role requires a blend of technical expertise and marketing acumen to create compelling marketing materials and engage with developers, showcasing the value of NVIDIA's products in the inference ecosystem.

Responsibilities

• Build product positions by collaborating with business leaders to communicate product value to developers.
• Develop and implement comprehensive marketing plans with consistent messaging across all materials.
• Segment and target audiences, identify asset gaps, and create developer-centric marketing content such as blogs, webinars, and tutorials.
• Represent NVIDIA at trade shows, conferences, and customer meetings to promote software development kits.

Requirements

• Familiarity with 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 experience in a technical marketing role related to deep learning software.
• 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 skills, with the ability to articulate value propositions to technical and non-technical audiences.
• Demonstrated ability to prioritize projects and work independently.

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 in software engineering or computer science.

Benefits

• Equity options
• Comprehensive health benefits
• Flexible work hours
• Paid time off
• Retirement savings plan