Senior Product Manager, NVIDIA Mission Control at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Deep knowledge of K8s technologies, and an understanding of compute architecture or networking stack
Demonstrated success working with or in GSI partners, developer-centric teams, or large enterprise customers
Ability to lead discussions, coordinate among diverse collaborators, and act as a trusted advisor
A strong desire to learn, problem-solving skills, and a demonstrated ability to make sophisticated trade-offs
12+ years of total experience in technology with product management or engineering experience on high-tech, cloud, AI/ML technologies
BS or MS in engineering, computer science, or another technical field (or equivalent experience). MBA is a plus
Ways to stand out
In-depth knowledge of deep learning workflows, experience in Gen AI, LLMs
Experience in building 0-1 products
Recent experience in key data center technologies such as server architectures, software containers, job schedulers and parallel computing; deployment and operation of systems at large scale; resilient system design; and clustering compute resources
Previous roles in leading early access programs, proof of concepts, and field enablement

Responsibilities

Understand NVIDIA’s strategic position and deliver an enterprise computing platform recognized as the best in the industry
Own the complete solution lifecycle—from solution definition through development and go-to-market—for NVIDIA Mission Control software stack to drive adoption of the NVIDIA technologies in Enterprise market
Leverage strong technical background to define product requirements and user stories for solutions by channeling customer needs, solution-architecture feedback, and cross-team input within NVIDIA
Establish a shared vision across the company by building consensus on connectors and integration points, priorities, and other key initiatives leading to successful execution
Proactively identify, document, and track critical bugs and feature requests, monitoring resolution through internal tools to maintain product velocity and reliability
Define success metrics that measure and improve product and solutions adoption, ecosystem growth, and DGX software performance; use these metrics to communicate progress clearly across the organization
Develop effective marketing and sales collateral—including whitepapers, reference architectures, ISV joint-solution briefs, and tools—to accelerate customer adoption and scale the impact of DGX products

Skills

Kubernetes

Product Management

Bare-metal Orchestration

GPUs

CPUs

AI Platforms

Go-to-Market

User Stories

Solution Architecture

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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