Hiring: Senior Accelerated Computing GPU Product Manager Company: NVIDIA Location: Santa Clara, CA Job Posted Time: 2026-09-09 17:59:07 Employment Type: Full-Time Target Skills & Keywords: GPU Product Management, Accelerated Computing, Data Center, Large Language Models (LLMs), AI/ML, Training & Inference, High-Performance Computing, Product Definition, Go-to-Market Strategy, Cloud Computing Infrastructure, Computing Architecture, Cross-functional Collaboration, Sales Enablement Experience: - 12+ years of total experience in technology - Previous product management, AI-related engineering, design, or development experience highly valued - Demonstrated ability to fully contribute in one or more of the key areas within 3 months Required Skills: - Deep understanding of datacenter workloads and applications, especially around Large Language Models for training and inference - Ability to identify opportunities to address customer needs and translate them into compelling GPU value propositions and product proposals - Experience working cross-functionally with partners, engineering, operations, and field teams to develop product go-to-market plans and positioning - Ability to work with sales organizations to develop effective sales collateral and tools - Knowledge of, and capable of explaining GPU, software, and computing architectures - Strong desire to learn, motivated to tackle complex problems, and ability to make sophisticated trade-offs Qualifications: - BS or MS or equivalent experience in engineering, computer science, or another technical field - MBA a plus - Direct experience in developing or deploying large-scale GPU-based AI applications, such as Large Language Models, for training and inference (preferred) - Strong background in building or leading cloud computing infrastructure and technologies (preferred) Compensation: - Base salary range: 208,000 USD - 327,750 USD for Level 5 - Base salary range: 240,000 USD - 379,500 USD for Level 6 - Eligible for equity and benefits - Base salary determined based on location, experience, and pay of employees in similar positions Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!