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Benefits & Perks
•Top Tier compensation with equity
•Health, dental, and vision coverage
•Wellness benefits
•Parental leave program
Required Skills
TensorFlow
Python
PyTorch
About the Role
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology—and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
We are looking for a marketing professional with a technical background to join our product marketing team. In this role, you will help data scientists and data engineers realize the value of accelerated computing for data science, data analytics, and machine learning. You will develop and drive strategic marketing initiatives that grow the adoption of accelerated data processing using NVIDIA's key software and hardware platforms.
Are you familiar with the data science and database ecosystem, its personas and their workflows? Are you aware of key use cases, segments, and common algorithms used across targeted industries, such as financial services, retail, manufacturing, and scientific computing? If so, this role may be right for you!
What You'll Be Doing
- Lead positioning, messaging and launches for key data science and processing products
- Develop technical content such as blogs, videos, and presentations to help data scientists embrace NVIDIA's SDKs
- Support go-to-market for NVIDIA hardware platforms for data processing as part of cross-functional team
- Conduct competitive and ecosystem analysis to develop positioning and focus promotion
- Engage with the data science community directly and present key technologies at events
- Derive insights from customer adoption trends and share with internal teams
What We Need to See
- 8+ years' experience with launching, go-to-market and scaling technical product adoption for data scientists or developers
- Bachelors degree in a scientific or technical field (or equivalent experience)
- Knowledge of data science packages and machine learning frameworks
- You love and thrive in a cross-functional organization, by collaborating with peers across teams and functions
- Excellent written and spoken communication skills
- Experience presenting at meetings, conferences, and webinars
- Strong grasp of content marketing and social media methodologies
- Comfortable reviewing Python code used in presentations, demos, and articles
Ways to Stand Out From the Crowd
- Clearly communicate your understanding of NVIDIA's strategy and technology
- Measurable impact (metrics, awards, key accomplishments) you can share
- Growing portfolio of blogs and social posts with links to your relevant work, including technical writing, social media presence, videos, and research papers
Compensation and Benefits
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5. You will also be eligible for equity and benefits.
Additional Information
Applications for this job will be accepted at least until February 10, 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.
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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
L3 · Data Scientist IC2
0 reports
$177,542
total / year
Base
-
Stock
-
Bonus
-
$150,910
$204,174
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.
News
·
NaNw ago
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.
News
·
NaNw ago
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.
News
·
NaNw ago
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.
News
·
NaNw ago