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Manager Nvidia Data Scientist Jobs (NOW HIRING)

Data Direct Networks

CA

... from life sciences and healthcare to financial services, autonomous cars, Government, academia ... NVIDIA DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge ...

Data Direct Networks

CA · On-site

... from life sciences and healthcare to financial services, autonomous cars, Government, academia ... NVIDIA DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge ...

IntelliGenesis

Senior Data Scientist

Boerne, TX · On-site

As a Data Scientist in IG Labs, you will utilize your analytic and methodological skills and use ... Experience NVIDIA Technology & frameworks * Experience with data transport and transformation APIs ...

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Manager Nvidia Data Scientist information

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$46K

$165K

$243.5K

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

As of Jul 14, 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:
What job categories do people searching Manager Nvidia Data Scientist jobs look for? The top searched job categories for Manager Nvidia Data Scientist jobs are:
Manager Nvidia Data Scientist jobs near you
Infographic showing various Manager Nvidia Data Scientist job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Senior Scientist, Synthetic Data and Privacy

Senior Scientist, Synthetic Data and Privacy

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 4 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

NVIDIA is at the forefront of the AI revolution, and our research is shaping the future of large language models. We are looking for a Senior Scientist to join our team and help advance our capabilities in generating synthetic data and privacy-preserving AI. You will contribute to open-source libraries within the NVIDIA NeMo ecosystem that enable high-quality synthetic data generation and data privacy at scale, including context-aware anonymization. This role combines hands-on software engineering with applied research in LLMs and privacy-enhancing methods, and you will collaborate with research, engineering, product teams, and external labs.
What you'll be doing:
  • Build LLM-based methods for synthetic data generation, privacy, and context-aware anonymization, with automated evaluation across multilingual text, documents, and multimodal content.
  • Optimize task-specific LLMs for low-latency, high-throughput inference (distillation, quantization), and scale our frameworks to run in real time.
  • Design and maintain open-source libraries and SDKs with clean APIs and strong documentation.
  • Drive software excellence with modern tooling, architecture based on configuration, and professional Git/CI-CD.
  • Publish original research at top machine learning and AI conferences to maintain NVIDIA's technical leadership.
  • Mentor interns and junior researchers to develop technical growth within the team.

What we need to see:
  • PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent experience.
  • A research background of 2+ years in applied LLM/NLP research and engineering, synthetic data generation, anonymization and PII detection, or related areas. Comparable experience is also considered.
  • Proven track record of developing or maintaining software libraries used by a broad developer community.
  • Strong publication record at premier venues such as NeurIPS, ICML, ICLR, ACL or similar.

Ways to stand out from the crowd:
  • Active contributions to open-source projects, particularly in ML, security, or privacy domains.
  • Deep technical understanding of LLMs and inference optimization (quantization, distillation, latency/throughput tuning), with frameworks such as vLLM or TGI.
  • Ability to build and optimize scalable data processing pipelines for large-scale models.
  • Functional knowledge of global privacy regulations such as GDPR or CCPA.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working with us. If you are creative, autonomous, and passionate about building open-source tools that make AI safer and more private, 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 - 264,500 USD for Level 3, and 192,000 USD - 304,750 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 14, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

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

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