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Senior Technical Product Manager - AI Infrastructure

NVIDIA

Software and Technology Jobs

Senior Technical Product Manager - AI Infrastructure

full-timePosted: Sep 25, 2025

Job Description

NVIDIA data centers are powering the most sophisticated, groundbreaking research and AI products for the company. We are looking for a Senior Product Manager that will drive the roadmap and deliver features that will move the needle for our customers. This role will touch upon everything from Data Center Infrastructure, to Kubernetes container management, as well as AI training software used by researchers and developers. Are you passionate about building highly complex yet usable products? Do you like working on innovative technology that boosts AI developer efficiency? If so this is an ideal role for you!What You'll be Doing:Define product strategy and solutions for NVIDIA's Enterprise Infrastructure products using NVIDIA DGX and NVIDIA Networking.Create GTM Collaterals and evangelize to the customers.Distill insights from strategic customers and partners to define, prioritize and complete product roadmaps.Engage with internal collaborators and ecosystem partners to define solutions that improve customer experience and efficiency at the data center solution levelCreate GTM Collaterals and act as the evangelist with sales and marketing teams for new DGX solutionsWhat We Need to See:BS or MS degree in Computer Science, Computer Engineering, or similar field (or equivalent experience) and 12+ years of product management, or similar, experience at a technology company serving enterprisesProduct Management Experience: Proven track record in product management, particularly within the technology sector, with experience serving enterprise customers.Technical Expertise: Deep understanding of AI/ML infrastructure, high-performance computing (HPC) and networking ; cloud technologies (IaaS, PaaS) such as containerization, Kubernetes and automation toolsExpertise in designing and architecting server platforms, including GPUs, CPUs, storage, and networking.Proficiency in network architecture, protocols (Infiniband, Ethernet, RoCE) and high-performance interconnects.Experience with containerization technologies like Docker and Kubernetes, and virtualization.AI/ML Knowledge: Familiarity with AI/ML training and inference, Large Language Models (LLMs), Generative AI (Gen AI), and relevant frameworks and libraries.Leadership and Collaboration: Strong leadership, communication, and interpersonal skills to collaborate effectively with cross-functional teams and influence collaborators.Strategic and Analytical Thinking: Ability to balance high-level strategy with detailed planning, analyze market data, and make data-driven decisions.Understanding of the Product Lifecycle: Lead the product lifecycle from ideation to launch and post-launch support.Ways to Stand Out from the Crowd:Familiarity with the MLOps and LLMOps ecosystem and experience building integrations with popular enterprise platformsExperience deploying systems at scale in modern data center environmentsUsed or built Gen AI services to automate a business need or information retrievalDeep experience in Linux and OSS automation toolsWith highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're a creative and autonomous with a genuine passion for technology, we want to hear from you.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until September 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Locations

  • Santa Clara, CA, US

Salary

Estimated Salary Rangemedium confidence

28,000,000 - 42,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Kubernetesintermediate
  • AI training softwareintermediate
  • NVIDIA DGXintermediate
  • NVIDIA Networkingintermediate
  • Data Center Infrastructureintermediate
  • AI/ML infrastructureintermediate
  • high-performance computing (HPC)intermediate
  • networkingintermediate
  • cloud technologies (IaaS, PaaS)intermediate
  • containerizationintermediate
  • automation toolsintermediate
  • GPUsintermediate
  • CPUsintermediate
  • storageintermediate
  • Infinibandintermediate
  • Ethernetintermediate
  • RoCEintermediate
  • high-performance interconnectsintermediate
  • server platformsintermediate
  • network architectureintermediate
  • protocolsintermediate

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NVIDIA logo

Senior Technical Product Manager - AI Infrastructure

NVIDIA

Software and Technology Jobs

Senior Technical Product Manager - AI Infrastructure

full-timePosted: Sep 25, 2025

Job Description

NVIDIA data centers are powering the most sophisticated, groundbreaking research and AI products for the company. We are looking for a Senior Product Manager that will drive the roadmap and deliver features that will move the needle for our customers. This role will touch upon everything from Data Center Infrastructure, to Kubernetes container management, as well as AI training software used by researchers and developers. Are you passionate about building highly complex yet usable products? Do you like working on innovative technology that boosts AI developer efficiency? If so this is an ideal role for you!What You'll be Doing:Define product strategy and solutions for NVIDIA's Enterprise Infrastructure products using NVIDIA DGX and NVIDIA Networking.Create GTM Collaterals and evangelize to the customers.Distill insights from strategic customers and partners to define, prioritize and complete product roadmaps.Engage with internal collaborators and ecosystem partners to define solutions that improve customer experience and efficiency at the data center solution levelCreate GTM Collaterals and act as the evangelist with sales and marketing teams for new DGX solutionsWhat We Need to See:BS or MS degree in Computer Science, Computer Engineering, or similar field (or equivalent experience) and 12+ years of product management, or similar, experience at a technology company serving enterprisesProduct Management Experience: Proven track record in product management, particularly within the technology sector, with experience serving enterprise customers.Technical Expertise: Deep understanding of AI/ML infrastructure, high-performance computing (HPC) and networking ; cloud technologies (IaaS, PaaS) such as containerization, Kubernetes and automation toolsExpertise in designing and architecting server platforms, including GPUs, CPUs, storage, and networking.Proficiency in network architecture, protocols (Infiniband, Ethernet, RoCE) and high-performance interconnects.Experience with containerization technologies like Docker and Kubernetes, and virtualization.AI/ML Knowledge: Familiarity with AI/ML training and inference, Large Language Models (LLMs), Generative AI (Gen AI), and relevant frameworks and libraries.Leadership and Collaboration: Strong leadership, communication, and interpersonal skills to collaborate effectively with cross-functional teams and influence collaborators.Strategic and Analytical Thinking: Ability to balance high-level strategy with detailed planning, analyze market data, and make data-driven decisions.Understanding of the Product Lifecycle: Lead the product lifecycle from ideation to launch and post-launch support.Ways to Stand Out from the Crowd:Familiarity with the MLOps and LLMOps ecosystem and experience building integrations with popular enterprise platformsExperience deploying systems at scale in modern data center environmentsUsed or built Gen AI services to automate a business need or information retrievalDeep experience in Linux and OSS automation toolsWith highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're a creative and autonomous with a genuine passion for technology, we want to hear from you.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until September 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Locations

  • Santa Clara, CA, US

Salary

Estimated Salary Rangemedium confidence

28,000,000 - 42,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Kubernetesintermediate
  • AI training softwareintermediate
  • NVIDIA DGXintermediate
  • NVIDIA Networkingintermediate
  • Data Center Infrastructureintermediate
  • AI/ML infrastructureintermediate
  • high-performance computing (HPC)intermediate
  • networkingintermediate
  • cloud technologies (IaaS, PaaS)intermediate
  • containerizationintermediate
  • automation toolsintermediate
  • GPUsintermediate
  • CPUsintermediate
  • storageintermediate
  • Infinibandintermediate
  • Ethernetintermediate
  • RoCEintermediate
  • high-performance interconnectsintermediate
  • server platformsintermediate
  • network architectureintermediate
  • protocolsintermediate

Target Your Resume for "Senior Technical Product Manager - AI Infrastructure" , NVIDIA

Get personalized recommendations to optimize your resume specifically for Senior Technical Product Manager - AI Infrastructure. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Technical Product Manager - AI Infrastructure" , NVIDIA

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

United States of America

Answer 10 quick questions to check your fit for Senior Technical Product Manager - AI Infrastructure @ NVIDIA.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.