Jobs
Benefits & Perks
•Equity
•Equity
Required Skills
Product management
Technical communication
Market analysis
About the Role
Open large language models (LLMs), neural networks, are an exciting new area of capabilities. To bring AI to life, these models need to be created, trained and deployed with general expertise and domain specific knowledge. These models runs inside applications in the datacenter or at the edge, such as in automobiles, drones, medical devices, and more. Some of the common applications cover reasoning for agentic tasks, instruction following, tool calling, scientific question answer, and others. NVIDIA is at the forefront helping advance the latest research and product improvements for everybody!
As the Nemotron Product Manager, you will lead key pieces of NVIDIA's portfolio of software that are enabling state of the art accuracy and performance for LLMs across pre-training, fine-tuning with LoRA, RLHF, and SFT and inference deployment for Enterprise adoption. Nemotron opens for the community various model checkpoints, datasets, and training techniques to help grow adoption. You will engage with customers, define products and roadmaps, develop business strategy, devise market positioning, and take your products to market. Our product team is passionate about deep learning use cases to drive the company's strategy. We need a self-starter to continue to grow this area and work with customers, who are helping define the future of AI.
Responsibilities
- Define and Prove: Collect insights and build market analysis that provides the data to enter or change new markets through a clear value proposition for the product
- Market intelligence: Understand the developers, partners, and competitors
- Build and Deliver: Collaborate with engineering to promote the customer's needs through setting feature priorities across roadmaps
- Sense and Respond: Work closely with customers, build surveys, present at conferences, understand product quality and supervise critical bugs
- Marketing content creation: Work with marketing to define positioning that enables the creation of technical content, including blog posts, webinars, developer tutorials, and more to communicate the product value proposition
- Product launches: Define the go-to-market strategy and provide guidance to the cross-functional implementation of the plan across marketing, public relations, and sales
Qualifications
- BS or MS in Computer Science, Engineering, or other technical field (or equivalent experience). MBA is a plus.
- 15+ years of technical product management, or similar, experience at a technology company
- Passion for delivering software, libraries and SDKs
- Proven track record of teamwork across teams, customers, and partners
- Outstanding interpersonal and public communication skills with a shown ability to articulate a value proposition to technical and non-technical audiences
Ways to Stand Out
- Experience working with Large Language Models, specifically with setting evaluation tasks as well as curating data, training or fine-tuning, to increase model capabilities
Benefits & Compensation
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD. You will also be eligible for equity and benefits.
Additional Information
Applications for this job will be accepted at least until January 31, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.
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About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
4.1
10 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
4.3
Career
4.5
Management
4.0
75%
Recommend to a Friend
Pros
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
Cons
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
Salary Ranges
47 data points
L3
L4
L5
L6
L7
L3 · Product Manager IC2
0 reports
$183,722
total / year
Base
-
Stock
-
Bonus
-
$156,163
$211,281
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
News & Buzz
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
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NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
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NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
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NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
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