Product Marketing Manager - TensorRT-LLM

$184,000 - $345,000/Yr

Nvidia - Santa Clara, CA

Full-time - Mid Level

Santa Clara, CA

5,001-10,000 employees

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 requires a blend of technical expertise and marketing acumen to develop go-to-market strategies, create marketing materials, and engage with the developer community. The role emphasizes the importance of optimized inference in AI applications, aiming to enhance throughput, reduce costs, and lower power consumption while showcasing the capabilities of NVIDIA's TensorRT and TensorRT-LLM.

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 including product management, technical marketing, engineering, and PR to implement marketing strategies.
• 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 and grow the developer community.

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.
• Willingness to work on new products and technologies with an entrepreneurial spirit.

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 environment
• Ongoing professional development opportunities