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Manager Nvidia Data Scientist Jobs (NOW HIRING)

Job Summary The Business Development Manager - NVIDIA at SHI International oversees strategic ... Data Analysis: Can identify patterns and trends in data, propose hypotheses, and use statistical ...

Data Scientist - Nvidia Santa Clara from day 1 must be on-site 2nd round of interview will be F2F - Onsite at Santa Clara. ANY VISA Must have a strong and active LinkedIn profile. Worked with good ...

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High ... What we need to see: * BS or MS degree in Computer Engineering, Computer Science, or related degree ...

Job Summary The Business Development Manager - NVIDIA at SHI International oversees strategic ... Data Analysis: Can identify patterns and trends in data, propose hypotheses, and use statistical ...

Sr. Product Marketing Manager - NVIDIA Partnership

$123.90K - $162.20K/yr

Bachelor's degree in Marketing, Business, Computer Science, or a related field. * 5+ years of ... data platforms, or strategic partner marketing. * Demonstrated experience driving partner co ...

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Manager Nvidia Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do manager nvidia data scientist jobs pay per year?

As of Jun 1, 2026, the average yearly pay for manager nvidia data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Manager Nvidia Data Scientist vs Data Scientist?

AspectManager Nvidia Data ScientistData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; often requires leadership experienceBachelor's/Master's in CS, Statistics, or related; focus on technical skills
Work EnvironmentLeads teams, manages projects, collaborates with cross-functional teamsAnalyzes data, develops models, reports findings
Employer & IndustryTech companies, AI/ML firms, hardware manufacturers like NvidiaVarious industries including tech, finance, healthcare, research

The main difference is that a Manager Nvidia Data Scientist oversees data science teams and projects, requiring leadership skills, while a Data Scientist focuses on technical data analysis and modeling. The manager role involves strategic planning and team management, whereas the data scientist role emphasizes technical expertise and data analysis.

More about Manager Nvidia Data Scientist jobs
What cities are hiring for Manager Nvidia Data Scientist jobs? Cities with the most Manager Nvidia Data Scientist job openings:
What are the most commonly searched types of Nvidia Data Scientist jobs? The most popular types of Nvidia Data Scientist jobs are:
What states have the most Manager Nvidia Data Scientist jobs? States with the most job openings for Manager Nvidia Data Scientist jobs include:
Infographic showing various Manager Nvidia Data Scientist job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Senior Product Manager, NVIDIA Mission Control

Senior Product Manager, NVIDIA Mission Control

Nvidia

Santa Clara, CA • On-site

$148.60K - $196.10K/yr

Full-time

Posted 27 days ago


Job description

NVIDIA is the defining technology company of the Artificial Intelligence era. Our legacy of innovation is powered by extraordinary technology-and extraordinary people. Achieving what has never been done before demands vision, innovation, and the world's best talent! We are seeking a deeply technical Product Manager to shape the enterprise software stack for next-generation AI factories, built on NVIDIA's industry-leading GPUs and purpose-designed CPUs. This includes bare-metal orchestration, Kubernetes-native services, and full-stack AI platform capabilities to power the enterprise AI factory. At NVIDIA, you will be part of a diverse, collaborative environment where everyone is inspired to do their best work. Join us and see how you can make a lasting impact on the world.

NVIDIA's Enterprise Product Group is a small, dynamic, and highly motivated team behind DGX systems and DGX SuperPOD-the platforms that established NVIDIA as the gold standard in AI development and deployment. By delivering turnkey, integrated solutions, the team helped transform NVIDIA from a GPU hardware vendor into a full-stack AI and data-center company. We are looking for a proven product leader with a strong track record of delivering enterprise platforms and the expertise to drive continued adoption of these solutions across global enterprises!

What you'll be doing:

  • 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.

What we need to see:

  • Deep knowledge of K8s technologies, and an understanding of compute architecture or networking stack.

  • Ability to lead discussions, coordinate among diverse collaborators, and act as a trusted advisor.

  • A strong desire to learn, problem-solving skills, and a proven ability to make sophisticated trade-offs.

  • 8+ 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). Recent MBA is a plus.

Ways to stand out from the crowd:

  • 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, software containers, job schedulers and parallel computing.

NVIDIA is widely considered one of the technology world's most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 8, 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 logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993