Senior Accelerated Computing GPU Product Manager

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 168,000 - 327,750 annuallyFunction: Product ManagementExperience: 6+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving","Leadership"]

Lead the definition and go-to-market for NVIDIA’s data center GPU products, focusing on workloads such as Large Language Models. Collaborate cross-functionally with engineering, operations, and sales to translate customer needs into compelling GPU value propositions, and develop collateral and positioning to accelerate adoption in AI and high-performance computing markets.

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FursaFursa
NVIDIA
NVIDIA
6 months ago

Senior Accelerated Computing GPU Product Manager

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Last checked: 5 hours agoStatus: Live

Job Summary

Lead the definition and go-to-market for NVIDIA’s data center GPU products, focusing on workloads such as Large Language Models. Collaborate cross-functionally with engineering, operations, and sales to translate customer needs into compelling GPU value propositions, and develop collateral and positioning to accelerate adoption in AI and high-performance computing markets.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management
Seniority: Manager level

Key Responsibilities

  • •Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference
  • •Identify opportunities to address customer needs and translate them into compelling GPU value propositions and product proposals
  • •Work cross-functionally with partners, engineering, operations and field teams to develop comprehensive product go-to-market plans and product positioning
  • •Collaborate with the sales organization to develop effective sales collateral and tools
  • •Support the product lifecycle from definition through go-to-market execution and customer adoption

Pay and Benefits

Salary: USD 168,000 - 327,750 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •6+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued
  • •BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus.
  • •Demonstrated ability to fully contribute in one or more of the areas above within 3 months
  • •Knowledge of, and capable of explaining GPU, software and computing architectures
  • •Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs
Experience:6+ yearsAIGPUData CenterMachine Learning
Education:Bachelor's
Skills:CommunicationCollaborationProblem-solvingLeadership
Tech Stack:GPUAILarge Language ModelsCloud computingInfrastructureData centerML

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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