Principal Product Manager, AI Frameworks at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Experience with training/post training and optimization software (ex. PyTorch distributed, torchtitan, VeRL, Nemo Framework, etc.)
Demonstrable knowledge of GenAI or machine learning concepts, particularly around model training, performance optimization, and software development and delivery
Experience with large scale distributed systems
BS or MS degree in Computer Science, Computer Engineering, or similar experience (or equivalent experience)
15+ years of technical product management, or similar, experience at a technology company
Strong communication and interpersonal skills
Ways to Stand Out
Experience leading GenAI/RecSys research to production at scale
Working on Open Source & Github-first developer products with deep customer interactions
Knowledge of GPU architecture, HW/SW co-design, and performance profiling

Responsibilities

Create products to help researchers and production model builders
Develop product strategy, roadmaps, and go-to-market plans
Collaborate with internal and external customers to build product-based roadmaps for training/post training software
Work with leadership to align with and drive company strategy

Skills

Key technologies and capabilities for this role

Product ManagementAI FrameworksPyTorchDistributed TrainingNemo FrameworkGenAISDKsRoadmapsGo-to-Market

Questions & Answers

Common questions about this position

What is the base salary range for this Principal Product Manager role?

The base salary range is 240,000 USD - 379,500 USD, determined based on location, experience, and pay of employees in similar positions.

What benefits are offered for this position?

You will be eligible for equity and benefits.

Is this a remote position or does it require working from an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Required qualifications include experience with training/post training and optimization software (e.g., PyTorch distributed, torchtitan, VeRL, Nemo Framework), knowledge of GenAI or machine learning concepts especially model training and performance optimization, BS or MS in Computer Science or equivalent, 15+ years of technical product management experience, and strong communication skills.

What makes a candidate stand out for this position?

Candidates stand out with experience leading GenAI/RecSys research to production at scale, working on Open Source & Github-first developer products with deep customer interactions, and knowledge of GPU architecture, HW/SW co-design, and performance profiling.

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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