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Senior Nvidia Data Scientist Jobs (NOW HIRING)

Nvidia

NVIDIA is at the forefront of the AI revolution, and our research is shaping the future of large ... for a Senior Scientist to join our team and help advance our capabilities in synthetic data ...

Zefr, Inc

Senior Data Scientist

Marina Del Rey, CA · On-site

$200K - $225K/yr

What you'll do: We are hiring a Senior Data Scientist focused on the research and ... PyTorch, Triton Inference Server, vLLM, Nvidia Dynamo, Nvidia TensorRT LLM, Weights and Biases ...

Nvidia

NVIDIA is at the forefront of the AI revolution, and our research is shaping the future of large ... Senior Scientist to join our team and help advance our capabilities in generating synthetic data ...

Nvidia

OR · On-site

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 ...

GDIT

Data Scientist

Concord, NC

As a Data Scientist Senior , the work you'll do at GDIT will be impactful to the mission of ... Desired Skills: * Experience with edge AI hardware (NVIDIA Jetson, Coral TPU, rugged ARM/x86 ...

Winaxis

Data Scientist

Santa Clara, CA · On-site

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 ...

Walmart

(USA) Senior, Data Scientist

Bentonville, AR · On-site

$90K - $180K/yr

We are seeking a Senior Data Scientist to collaborate in design, development, and deployment of ... Develop interactive digital twins of retail environments leveraging NVIDIA Omniverse and advanced ...

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All JobsSenior Nvidia Data Scientist Jobs

Senior Nvidia Data Scientist information

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$41.5K

$142.5K

$201K

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

As of Jun 14, 2026, the average yearly pay for senior nvidia data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

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

AspectSenior Nvidia Data ScientistNvidia Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; extensive experienceBachelor's or Master's in relevant field; some experience preferred
Work EnvironmentAdvanced research teams, project leadership roles, cross-functional collaborationData analysis, model development, support tasks within teams
Employer & Industry UsageTech companies, AI research labs, GPU hardware firmsSimilar industries, entry to mid-level roles in AI and data analytics

The main difference between a Senior Nvidia Data Scientist and a Nvidia Data Scientist lies in experience, responsibilities, and leadership. Senior roles typically involve project leadership, advanced research, and strategic input, while Nvidia Data Scientists focus on data analysis and model development. Both roles require strong technical skills and familiarity with Nvidia's technologies, but senior positions demand more experience and a broader scope of responsibilities.

What cities are hiring for Senior Nvidia Data Scientist jobs? Cities with the most Senior 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 Senior Nvidia Data Scientist jobs? States with the most job openings for Senior Nvidia Data Scientist jobs include:
Senior Nvidia Data Scientist jobs near you
Infographic showing various Senior Nvidia Data Scientist job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, and 12% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
Senior Scientist, Synthetic Data Generation

Senior Scientist, Synthetic Data Generation

Nvidia

On-site

Full-time

Posted 3 days ago

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 synthetic data generation for training frontier models. You will contribute to open-source libraries within the NVIDIA NeMo ecosystem that generate synthetic datasets across text, code, structured, and multimodal data, directly feeding the pre- and post-training of LLMs such as Nemotron. This role combines hands-on software engineering with applied research in generative methods, and you will collaborate with research, engineering, product, and model teams as well as external labs.

What you'll be doing:

  • Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation, producing datasets that improve the pre- and post-training of LLMs such as Nemotron - reasoning, coding, structured output, and multimodal understanding.

  • Advance multimodal synthetic data generation - image, document, video, and audio - in partnership with NVIDIA's model teams.

  • 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 3+ years in synthetic data generation, generative modeling, multimodal machine learning, or related areas. Comparable experience is also considered.

  • Deep technical understanding of LLMs, how data shapes their pre- and post-training, and inference frameworks such as vLLM or TGI.

  • 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:

  • Open-source contributions in ML or data tooling.

  • Experience with multimodal generation or understanding (vision-language, document AI, video, or audio).

  • Building and optimizing scalable data pipelines for large-scale model training (throughput, distributed inference).

  • Experience generating data for agentic, tool-use, or reinforcement-learning post-training.

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.
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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