NVIDIA

Senior Product Manager – AI Infrastructure

NVIDIA

full-time

Posted on:

Location Type: Hybrid

Location: Santa Clara • California • 🇺🇸 United States

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Salary

💰 $208,000 - $379,500 per year

Job Level

Senior

Tech Stack

CloudKubernetes

About the role

  • Develop product strategy and go-to-market plans
  • Channel and prioritize customer feedback to improve NVIDIA products
  • Evaluate customer use-case and workflows to distill insights from early customer engagements into practical business strategies
  • Collaborate with NVIDIA engineers and product managers to build product-based roadmaps
  • Work closely with various NVIDIA product teams (NVIDIA vGPU, NVIDIA Network Operator, NVIDIA GPU Operator, Confidential Computing Run.AI and NVIDIA NIM Operator) to define easy to use integrations
  • Define important product metrics to continuously monitor to ensure NVIDIA leadership over competitor's offerings
  • Engage with customers and define the future of AI Factories

Requirements

  • BS or MS degree in Computer Science, Computer Engineering, or similar field or equivalent experience
  • 12+ years of product management, or similar, experience at a technology company
  • 3+ year of experience in building inference software
  • Hands-on experience with Kubernetes
  • Strong communication and interpersonal skills
  • Strong program management skills - very organized with the ability to multitask and prioritize in a demanding environment
  • Understanding of modern AIOps architectures (preferred)
  • Experience in building products for regulated industries (preferred)
  • Experience in building Cloud Native based solutions (preferred)
  • Successful management of technical products throughout their lifecycle (preferred)
  • Direct development experience with NVIDIA software, hardware and SDKs (preferred)
Benefits
  • Competitive salaries and a generous benefits package
  • Eligible for equity and benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
product managementinference softwareKubernetesAIOps architecturesCloud Native solutionsNVIDIA softwareNVIDIA hardwareNVIDIA SDKsproduct lifecycle management
Soft skills
communication skillsinterpersonal skillsprogram managementorganizational skillsmultitaskingprioritization
Certifications
BS degree in Computer ScienceMS degree in Computer Science