NVIDIA

1 month ago

Senior Technical Product Manager, Accelerated Computing

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead GPU-focused product initiatives for NVIDIA's Data Center, shaping go-to-market strategy and collateral for AI workloads (LLMs, training/inference). Collaborate across engineering, operations, and sales to define compelling GPU value propositions and drive successful market adoption in high-growth AI/ HPC spaces.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key Responsibilities

•Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference.
•Identify opportunities where we uniquely address customer needs and translate these into compelling GPU value propositions and product proposals.
•Work cross-functionally with partners, engineering, operations & 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.
•Drive development of go-to-market strategies and positioning for GPU accelerators in data center AI workloads.

Pay and Benefits

Equity and Bonus: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 CenterHigh-Performance Computing

Education:Bachelor's in Engineering

Skills:CommunicationCollaborationProblem-solvingLeadershipStrategic thinking

Tech Stack:GPUAIMachine LearningData CenterCloud

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: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 month ago

Senior Technical Product Manager, Accelerated Computing

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key Responsibilities

•Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference.
•Identify opportunities where we uniquely address customer needs and translate these into compelling GPU value propositions and product proposals.
•Work cross-functionally with partners, engineering, operations & 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.
•Drive development of go-to-market strategies and positioning for GPU accelerators in data center AI workloads.

Pay and Benefits

Equity and Bonus: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 CenterHigh-Performance Computing

Education:Bachelor's in Engineering

Skills:CommunicationCollaborationProblem-solvingLeadershipStrategic thinking

Tech Stack:GPUAIMachine LearningData CenterCloud

Company Brief

NVIDIA

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: 4.3

Website LinkedIn Glassdoor