NVIDIA

1 month ago

Principal Data Scientist - Cloud Gaming and AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Lead and guide a global team of data scientists and engineers to design, deploy, and optimize AI/ML solutions for real-time analytics and diagnostics in NVIDIA GeForce NOW. Drive data-driven decisions, build scalable pipelines for real-time insights, and apply forecasting and optimization models to improve capacity, latency, and user retention in a cloud gaming platform.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 248,000 - 379,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Master’s or 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 in Statistics/AI/ML
•Hands-on expertise in programming languages like Python, SQL, Java and modeling frameworks like Scikit-learn, PyTorch, TensorFlow
•Experience with data storage/processing tools (e.g., Spark, Pandas, Delta Lake) and running large-scale software in big networks
•Excellent verbal and written communication skills with a track record of leading data-science projects at scale

Experience:15+ yearsCloudGamingAIMLData analyticsScaling

Education:Master's

Skills:LeadershipCommunicationProblem-solving

Languages:English

Tech Stack:PythonRPandasJupyterLabSparkSQLDatabricksMLFlowDelta LakeGrafanaKibanaKubeflowElyraKubernetesGitlabCI/CDMLOpsKafkaSQS

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

NVIDIA

1 month ago

Principal Data Scientist - Cloud Gaming and AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 248,000 - 379,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Master’s or 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 in Statistics/AI/ML
•Hands-on expertise in programming languages like Python, SQL, Java and modeling frameworks like Scikit-learn, PyTorch, TensorFlow
•Experience with data storage/processing tools (e.g., Spark, Pandas, Delta Lake) and running large-scale software in big networks
•Excellent verbal and written communication skills with a track record of leading data-science projects at scale

Experience:15+ yearsCloudGamingAIMLData analyticsScaling

Education:Master's

Skills:LeadershipCommunicationProblem-solving

Languages:English

Tech Stack:PythonRPandasJupyterLabSparkSQLDatabricksMLFlowDelta LakeGrafanaKibanaKubeflowElyraKubernetesGitlabCI/CDMLOpsKafkaSQS

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor