Senior Product Manager, Accelerated Computing HW and SW Fundamentals at NVIDIA

Santa Clara, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Semiconductors, ComputingIndustries

Requirements

Strong communication skills
Self-motivation
Ability to navigate ambiguity

Responsibilities

Drive alignment between teams responsible for NVIDIA CPUs, CUDA, GPU drivers, Linux Kernel, BIOS, BMC, and IBV partners
Drive enablement plans, focusing on customer and partner adoption of key features like Confidential Compute, MPAM, advanced power management, and virtualization
Ensure components, documentation, and recipes are in place for the entire accelerated compute product portfolio to deliver an excellent out-of-box experience
Partner with HGX and DGX product teams, CPMs, engineers, and customers to understand active issues and communicate resolution stages to executive staff
Act as a buffer between high-priority customer issues and deployments, coordinating with account teams, the product organization, and engineering
Help our teams understand and plan for comprehensive in-system telemetry and debugging in future products
Drive partnership and alignment with key 3rd parties responsible for memory modules, PCIe add-in cards, and more
Ensure the correct hardware, business, documentation, and software capabilities are present to integrate with NVIDIA platforms

Skills

Key technologies and capabilities for this role

CUDAGPU driversLinux KernelBIOSBMCConfidential ComputeMPAMPower ManagementVirtualizationHGXDGXPCIeTelemetryDebugging

Questions & Answers

Common questions about this position

What is the salary for this Senior Product Manager role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills are required for this Senior Product Manager position?

The role requires strong communication skills, self-motivation, and the ability to navigate ambiguity.

What is the team structure like for this role?

You will report into the Product Management team for NVIDIA Accelerated CPU Products (like Grace and Vera), supporting coordination between CPUs, CUDA, GPU drivers, Linux Kernel, and other key components.

What makes a strong candidate for this Senior Product Manager role?

Strong candidates will have excellent communication skills, self-motivation, and the ability to navigate ambiguity while driving alignment across teams, customers, and vendors.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free