Principal Data Scientist - Cloud Gaming and AI

NVIDIA is hiring a Principal Data Scientist - Cloud Gaming and AI in Santa Clara, United States. It pays $248k-$380k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
The listed pay starts 49% above the typical data scientist posting on Level.
Tools and skills the posting cites include PyTorch, TensorFlow and scikit-learn.
Level classifies it as a lead role.
Level lists 2,700+ other open roles at NVIDIA.

AI in this role

PyTorchTensorFlowscikit-learnMLflowDatabricks

ml-ops

Join the NVIDIA GeForce NOW cloud team that allows users to play high-quality PC games on various devices, without the need for a dedicated gaming PC or console. NVIDIA's GeForce NOW service is built on top of our GPU technology, including our proprietary GPU architectures and software optimizations allowing efficient and high-quality experience even at high resolutions and fps and at industry leading low latencies.

Our team is building the Diagnostic, Prescriptive and AI-augmented Analytics solutions that encompass processing, visualization, anomaly detection, root cause and predictive modeling for the benefit of millions of our end users. Our active projects include real-time forecasting of demand, constraint-optimized capacity allocation, dynamic prescriptions per session, Customer Onboarding and Voice of Customer Analytics, targeted Customer Outreach campaigns based on Customer Retention modeling, effective personalized diagnostic recommendations, LLM Chatbot. You will wield the power of Data and AI to help globally deliver a best-in-class cloud computing/streaming performance and experience. Our technology stack relies on industry standard components and tools (Python, R, Pandas, JupyterLab, Spark, SQL, Databricks, MLFlow, Delta Lake, Grafana, Kibana, Kubeflow, Elyra, Kubernetes, Gitlab, CI/CD, MLOps, Kafka, SQS, Kubernetes)

What you'll be doing:

Provide Technical Leadership to the team of Data Scientists and Engineers working on global deployment at scale of GPU Compute services.
Work with Leadership and Stakeholders to understand top level requirements, build a tech roadmap, design solutions and guide the team to deliver results.
Acquire and apply domain knowledge of the product and platform to lead the design, implementation, and deployment of AI/ML based solutions for generating actionable insights and real-time prescriptive analytic pipelines to drive optimal outcomes for production services.
Build and Deploy real time and scalable solutions for real time User Diagnostics, LLM Chatbot, dynamic Suspicious Activity Detection, User feedback based clustering and alerting and LLM based Actionable Insight Generation solutions for Engineering And Management.
Improve productivity of the org by wrangling petabytes of data using statistical/AI/ML/LLM models to provide actionable and real time insights.
Leverage pioneering Forecasting models and Constraint Optimization solvers to improve capacity management and deliver server efficiency and end-user latency.
Leverage innovative ML/AI predictive models with explainability for User Retention/Churn and designing outreach campaigns.
Build innovative multi-agent self-learning Harnesses for improving engineering productivity for analytics and deployments.

What we need to see:

Master’s/PhD or equivalent experience in Data Science, Statistics, Mathematics, Physics, Operations Research or related quantitative field
15+ years of software experience for large-scale and reliable production deployments and 8+ years of proven experience in Statistics/AI/ML
Hands-on expertise in programming languages like Python, SQL, Java and modeling frameworks like Scikit-learn, Pytorch, TensorFlow for large projects.
Experience with common tools for data storage and processing (e.g. Spark, Pandas, Delta Lake) including drilling into problems of running large scale software in a big network.
Excellent verbal and written communication skills to convey rich data insights to non-Technical and Technical Stakeholders.
An outstanding track record of successful past projects, as a lead, related to the research and application of data science at scale.
Experience of User Retention Modeling, LLMs, Time Series Forecasting or Operations Research is a plus.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering, Data Science. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 248,000 USD – 379,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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.

#deeplearning

How we rate this

Principal Data Scientist - Cloud Gaming and AI at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Principal Data Scientist - Cloud Gaming and AI is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $248k-$380k a year.
The role is based in US, CA, Santa Clara.
The job was posted on June 22, 2026.
Seniority: lead.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsPyTorchTensorFlowscikit-learnMLflowDatabricks

Also common in data scientist jobs at this level

Machine learning Generative AI AWS Deep learning NLP RAG

Pay

This job starts at: $248k
Typical data scientist job: $167k

This posting starts 49% above the typical data scientist job. See data scientist jobs

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
Walk me through how you've used PyTorch in your day-to-day work.
What are the limits of TensorFlow that you've run into, and how did you work around them?
What's a project where you used scikit-learn hands-on?
Walk me through how you've used MLflow in your day-to-day work.

Adapt your resume

List these exact terms on your resume: ML Ops, PyTorch, TensorFlow, scikit-learn, and MLflow. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker