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Forward Deployed Architect, AI Accelerator

NVIDIA

Engineering Jobs

Forward Deployed Architect, AI Accelerator

full-timePosted: Oct 28, 2025

Job Description

NVIDIA is seeking a Forward Deployed Architect to provide technical leadership and strategic guidance across multiple AI Accelerator customer engagements. Collaborate with strategic accounts to align implementations with customer use cases and share findings with the team. This role focuses on improving customer value through technical mentorship and crafting feedback loops for structured solutions.What you’ll be doing: Cross-Account Technical Guidance: Work across multiple strategic customer engagements to provide architectural direction, ensure alignment to business outcomes, and guide teams toward optimal technical approachesCollaborate with customers and internal teams to grasp customer goals, significance, and effective technical strategies.Implementation Oversight: Guide Forward Deployed Engineers and customer teams on complex technical decisions, system architectures, and implementation strategies to ensure successful outcomesIdentify common technical challenges, use cases, and solution approaches across projects. Share findings with internal teams and the external community to improve AI implementation practices.Develop and advocate for standardized approaches, guidelines, and structured advice rooted in proven patterns from successful customer implementationsHands-On Technical Leadership: Dive into complex technical challenges hands-on keyboard when needed to solve critical problems, validate architectures, or demonstrate solutionsCross-Functional Collaboration: Collaborate closely with product, engineering, and customer success teams to ensure findings from customer engagements inform internal strategy and capabilitiesStrategic Architecture: Design technical strategies for sophisticated AI workloads including distributed training, inference optimization, and complex MLOps pipelines that can be applied across multiple customersWhat we need to see: 12+ years of experience in technical roles such as solutions architecture, ML engineering, technical product management, or technical consulting working across multiple customers or projectsStrong technical leadership with proven ability to guide teams and influence technical decisions without direct authoritySystems thinking with ability to understand customer business outcomes and translate them into effective technical approachesAbility and willingness to prototype and help implement solutions hands-on keyboard when needed to solve critical problems or validate approachesExceptional communication skills with ability to engage technical teams, executives, and cross-functional stakeholders effectivelyBachelors degree or equivalent experienceWays to stand out from the crowd: NVIDIA Stack: CUDA, NeMo, Triton, TensorRT, NIM as well as hands-on Technical Expertise (one or more of the following):AI/ML Systems: Distributed training, large-scale inference, model optimization, and pipeline automationInfrastructure: Kubernetes, GPU scheduling, distributed computing frameworks (SLURM, Ray), and multi-cloud environmentsObservability & Automation: CI/CD, Infrastructure as Code, and GPU performance monitoringSolutions architecture or consulting background with experience working across multiple customer engagements simultaneously. Technical pattern recognition with demonstrated ability to identify common challenges and develop reusable approachesNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're a creative, curious, and driven technical leader, 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 200,000 USD - 322,000 USD for Level 5, and 248,000 USD - 391,000 USD for Level 6.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 1, 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

21,000,000 - 42,000,000 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 Acceleratorintermediate
  • AI implementationintermediate
  • architectural directionintermediate
  • technical strategiesintermediate
  • system architecturesintermediate
  • implementation strategiesintermediate
  • technical challengesintermediate
  • solution approachesintermediate
  • standardized approachesintermediate
  • guidelinesintermediate
  • structured adviceintermediate
  • proven patternsintermediate
  • hands-on technical leadershipintermediate
  • cross-functional collaborationintermediate
  • strategic architectureintermediate
  • distributed trainingintermediate
  • inference optimizationintermediate
  • MLOps pipelinesintermediate
  • solutions architectureintermediate
  • ML engineeringintermediate
  • technical product managementintermediate

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NVIDIA logo

Forward Deployed Architect, AI Accelerator

NVIDIA

Engineering Jobs

Forward Deployed Architect, AI Accelerator

full-timePosted: Oct 28, 2025

Job Description

NVIDIA is seeking a Forward Deployed Architect to provide technical leadership and strategic guidance across multiple AI Accelerator customer engagements. Collaborate with strategic accounts to align implementations with customer use cases and share findings with the team. This role focuses on improving customer value through technical mentorship and crafting feedback loops for structured solutions.What you’ll be doing: Cross-Account Technical Guidance: Work across multiple strategic customer engagements to provide architectural direction, ensure alignment to business outcomes, and guide teams toward optimal technical approachesCollaborate with customers and internal teams to grasp customer goals, significance, and effective technical strategies.Implementation Oversight: Guide Forward Deployed Engineers and customer teams on complex technical decisions, system architectures, and implementation strategies to ensure successful outcomesIdentify common technical challenges, use cases, and solution approaches across projects. Share findings with internal teams and the external community to improve AI implementation practices.Develop and advocate for standardized approaches, guidelines, and structured advice rooted in proven patterns from successful customer implementationsHands-On Technical Leadership: Dive into complex technical challenges hands-on keyboard when needed to solve critical problems, validate architectures, or demonstrate solutionsCross-Functional Collaboration: Collaborate closely with product, engineering, and customer success teams to ensure findings from customer engagements inform internal strategy and capabilitiesStrategic Architecture: Design technical strategies for sophisticated AI workloads including distributed training, inference optimization, and complex MLOps pipelines that can be applied across multiple customersWhat we need to see: 12+ years of experience in technical roles such as solutions architecture, ML engineering, technical product management, or technical consulting working across multiple customers or projectsStrong technical leadership with proven ability to guide teams and influence technical decisions without direct authoritySystems thinking with ability to understand customer business outcomes and translate them into effective technical approachesAbility and willingness to prototype and help implement solutions hands-on keyboard when needed to solve critical problems or validate approachesExceptional communication skills with ability to engage technical teams, executives, and cross-functional stakeholders effectivelyBachelors degree or equivalent experienceWays to stand out from the crowd: NVIDIA Stack: CUDA, NeMo, Triton, TensorRT, NIM as well as hands-on Technical Expertise (one or more of the following):AI/ML Systems: Distributed training, large-scale inference, model optimization, and pipeline automationInfrastructure: Kubernetes, GPU scheduling, distributed computing frameworks (SLURM, Ray), and multi-cloud environmentsObservability & Automation: CI/CD, Infrastructure as Code, and GPU performance monitoringSolutions architecture or consulting background with experience working across multiple customer engagements simultaneously. Technical pattern recognition with demonstrated ability to identify common challenges and develop reusable approachesNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're a creative, curious, and driven technical leader, 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 200,000 USD - 322,000 USD for Level 5, and 248,000 USD - 391,000 USD for Level 6.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until November 1, 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

21,000,000 - 42,000,000 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 Acceleratorintermediate
  • AI implementationintermediate
  • architectural directionintermediate
  • technical strategiesintermediate
  • system architecturesintermediate
  • implementation strategiesintermediate
  • technical challengesintermediate
  • solution approachesintermediate
  • standardized approachesintermediate
  • guidelinesintermediate
  • structured adviceintermediate
  • proven patternsintermediate
  • hands-on technical leadershipintermediate
  • cross-functional collaborationintermediate
  • strategic architectureintermediate
  • distributed trainingintermediate
  • inference optimizationintermediate
  • MLOps pipelinesintermediate
  • solutions architectureintermediate
  • ML engineeringintermediate
  • technical product managementintermediate

Target Your Resume for "Forward Deployed Architect, AI Accelerator" , NVIDIA

Get personalized recommendations to optimize your resume specifically for Forward Deployed Architect, AI Accelerator. Takes only 15 seconds!

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

Check Your ATS Score for "Forward Deployed Architect, AI Accelerator" , 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 Forward Deployed Architect, AI Accelerator @ NVIDIA.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.