NVIDIA
Senior Technical Product Manager, Accelerated Computing
$168K–$328K
US, CA, Santa Clara · Manager · Full-time · Posted May 28, 2026
- Experience
- 6+ years of total experience in technology.
- Education
- BS or MS or equivalent experience in engineering, computer science, or another technical field; MBA a plus.
About the job
Defines data center GPU products for accelerated computing by translating customer needs and workloads, especially LLM training and inference, into product proposals and go-to-market plans.
What you'll do
- Analyze data center workloads and applications, especially for LLM training and inference.
- Identify customer needs and develop GPU value propositions and product proposals.
- Coordinate product positioning and go-to-market plans with partners, engineering, operations, field teams, and sales.
What they ask for
- Knowledge of GPU, software, and computing architectures, with the ability to explain them.
- Ability to contribute in one or more role areas within 3 months.
- Strong motivation to learn, tackle complex problems, and make sophisticated trade-offs.
Nice to have
- Product management, AI-related engineering, design, or development experience is highly valued.
- Direct experience with large-scale GPU-based AI applications or cloud computing infrastructure and technologies.
Pay
168,000 USD - 258,750 USD (base salary, Level 4); 208,000 USD - 327,750 USD (base salary, Level 5)
Tools
GPU, Large Language Models
AI focus
The role defines GPU products for AI workloads, particularly LLM training and inference.
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