Senior Product Manager at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Media, TechnologyIndustries

Requirements

Bachelor’s, Master’s, or Doctorate degree, or equivalent experience
8+ years of product management with a proven track record of shipping successful software
Highly technical: knowledge of Linux, containerized workflows (OpenShift / Kubernetes), distributed systems, GPU-accelerated and real-time software
AI/ML understanding: familiarity with LLMs, VLMs, and real-time inference concepts; ability to reason about model performance, latency/efficiency trade-offs, and containerized deployment of AI services
Communication & leadership: clear writer/presenter who can influence across organizations and key partners, both internal and external

Responsibilities

Contribute to the AI platform vision & roadmap for Media2; define strategy, success metrics, and multi-release plans that align with NVIDIA’s AI and accelerated computing strategy
Translate customer workflows into product: capture deep requirements from industry partners, studios, and enterprise media teams; write concise PRDs with actionable MVP steps
Partner closely with engineering on defining specifications for AI model requirements
Go-to-market & adoption: craft positioning, licensing/pricing, early-access programs, and launch plans; enable field, GSI/ISV partners, and key lighthouse customers; drive platform activation and usage growth
Ecosystem leadership: collaborate with standards bodies, partners, and integrators to ensure compatibility with enterprise hardware (NICs / DPUs / GPUs), storage, and security/compliance requirements
Continuous improvement: champion the voice of developer, partner, GSI to define requirements for latency, efficiency, reliability, time-to-first-frame, cost per channel; analyze telemetry/usage, and iterate quickly to improve developer experience and operational adaptability

Skills

Product Management

AI Platform

Roadmap Planning

PRD Writing

Customer Requirements

Engineering Collaboration

Go-to-Market Strategy

Licensing

Pricing Strategy

Ecosystem Leadership

GPU Acceleration

Containerization

Media Processing

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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