Resume and JobRESUME AND JOB
NVIDIA logo

Senior Solutions Architect, Generative AI Data Processing

NVIDIA

Software and Technology Jobs

Senior Solutions Architect, Generative AI Data Processing

full-timePosted: Oct 15, 2025

Job Description

NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Data Analytics and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?You will become a trusted technical advisor with our customers, work on exciting projects and deploy AI solutions in production using Data Processing for Generative AI. You will also collaborate with a diverse set of internal teams on innovative AI optimization techniques, operating at the intersection of algorithms and systems. You should be comfortable working in a dynamic environment, and have experience with Deep Learning, LLMs and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!What You Will Be Doing:Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutionsDynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areasStrategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platformWorking closely with customers to help them adopt and build creative solutions using NVIDIA technologyDesign and implement scalable systems to accelerate agentic workflows and efficiently handle datacenter-scale use casesSome travel to conferences and customers may be requiredWhat We Need To See:BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)8+ years of hands-on experience with Machine Learning, Deep Learning and Data AnalyticsStrong fundamentals in programming, optimizations, and software design, especially in PythonStrong problem-solving and debugging skillsExperience with containerization and orchestration technologies, monitoring, and observability solutions for AI deploymentsExcellent presentation, communication and collaboration skillsWays To Stand Out From The Crowd:Prior experience with AI at scale on cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructureExperience with NVIDIA GPUs and software libraries, such as NVIDIA NeMo Framework, NeMo Retriever, cuVS, RAPIDSExpertise in MLOps including Kubernetes, Docker, Helm charts, Jupyter notebooksExcellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test designFamiliarity with parallel programming and distributed computing platformsYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 19, 2025.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.

Locations

  • Santa Clara, CA, US

Salary

Estimated Salary Rangemedium confidence

20,000,000 - 35,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • AI Solutions Architectureintermediate
  • Accelerated Data Analyticsintermediate
  • Deep Learningintermediate
  • Generative AIintermediate
  • Data Processingintermediate
  • AI Optimization Techniquesintermediate
  • LLMsintermediate
  • GPU Technologiesintermediate
  • Machine Learningintermediate
  • Scalable Systems Designintermediate
  • Agentic Workflowsintermediate
  • Datacenter-Scale Use Casesintermediate
  • Algorithmsintermediate
  • Systemsintermediate
  • Interdisciplinary Teamworkintermediate
  • Customer Collaborationintermediate
  • Technical Advisoryintermediate
  • Strategic Partneringintermediate
  • Dynamic Environment Adaptationintermediate

Target Your Resume for "Senior Solutions Architect, Generative AI Data Processing" , NVIDIA

Get personalized recommendations to optimize your resume specifically for Senior Solutions Architect, Generative AI Data Processing. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Solutions Architect, Generative AI Data Processing" , NVIDIA

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

United States of America

Answer 10 quick questions to check your fit for Senior Solutions Architect, Generative AI Data Processing @ NVIDIA.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.

NVIDIA logo

Senior Solutions Architect, Generative AI Data Processing

NVIDIA

Software and Technology Jobs

Senior Solutions Architect, Generative AI Data Processing

full-timePosted: Oct 15, 2025

Job Description

NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Data Analytics and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?You will become a trusted technical advisor with our customers, work on exciting projects and deploy AI solutions in production using Data Processing for Generative AI. You will also collaborate with a diverse set of internal teams on innovative AI optimization techniques, operating at the intersection of algorithms and systems. You should be comfortable working in a dynamic environment, and have experience with Deep Learning, LLMs and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!What You Will Be Doing:Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutionsDynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areasStrategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platformWorking closely with customers to help them adopt and build creative solutions using NVIDIA technologyDesign and implement scalable systems to accelerate agentic workflows and efficiently handle datacenter-scale use casesSome travel to conferences and customers may be requiredWhat We Need To See:BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)8+ years of hands-on experience with Machine Learning, Deep Learning and Data AnalyticsStrong fundamentals in programming, optimizations, and software design, especially in PythonStrong problem-solving and debugging skillsExperience with containerization and orchestration technologies, monitoring, and observability solutions for AI deploymentsExcellent presentation, communication and collaboration skillsWays To Stand Out From The Crowd:Prior experience with AI at scale on cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructureExperience with NVIDIA GPUs and software libraries, such as NVIDIA NeMo Framework, NeMo Retriever, cuVS, RAPIDSExpertise in MLOps including Kubernetes, Docker, Helm charts, Jupyter notebooksExcellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test designFamiliarity with parallel programming and distributed computing platformsYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 19, 2025.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.

Locations

  • Santa Clara, CA, US

Salary

Estimated Salary Rangemedium confidence

20,000,000 - 35,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • AI Solutions Architectureintermediate
  • Accelerated Data Analyticsintermediate
  • Deep Learningintermediate
  • Generative AIintermediate
  • Data Processingintermediate
  • AI Optimization Techniquesintermediate
  • LLMsintermediate
  • GPU Technologiesintermediate
  • Machine Learningintermediate
  • Scalable Systems Designintermediate
  • Agentic Workflowsintermediate
  • Datacenter-Scale Use Casesintermediate
  • Algorithmsintermediate
  • Systemsintermediate
  • Interdisciplinary Teamworkintermediate
  • Customer Collaborationintermediate
  • Technical Advisoryintermediate
  • Strategic Partneringintermediate
  • Dynamic Environment Adaptationintermediate

Target Your Resume for "Senior Solutions Architect, Generative AI Data Processing" , NVIDIA

Get personalized recommendations to optimize your resume specifically for Senior Solutions Architect, Generative AI Data Processing. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Solutions Architect, Generative AI Data Processing" , NVIDIA

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

United States of America

Answer 10 quick questions to check your fit for Senior Solutions Architect, Generative AI Data Processing @ NVIDIA.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.