Forward Deployed Architect, AI Accelerator jobs in United States
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NVIDIA · 2 months ago

Forward Deployed Architect, AI Accelerator

positionUS, CA, Santa Clara
timeFull-time
remoteOnsite
senioritySenior Level, Lead/Staff
money$200K/yr - $391K/yr
date12+ years exp

NVIDIA is seeking a Forward Deployed Architect to provide technical leadership and strategic guidance across multiple AI Accelerator customer engagements. This role focuses on improving customer value through technical mentorship and crafting feedback loops for structured solutions.

AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

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 approaches
Collaborate 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 outcomes
Identify 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 implementations
Hands-On Technical Leadership: Dive into complex technical challenges hands-on keyboard when needed to solve critical problems, validate architectures, or demonstrate solutions
Cross-Functional Collaboration: Collaborate closely with product, engineering, and customer success teams to ensure findings from customer engagements inform internal strategy and capabilities
Strategic Architecture: Design technical strategies for sophisticated AI workloads including distributed training, inference optimization, and complex MLOps pipelines that can be applied across multiple customers

Qualification

AI/ML SystemsSolutions architectureNVIDIA StackTechnical leadershipSystems thinkingHands-on implementationCross-functional collaborationTechnical pattern recognitionInfrastructure knowledgeExceptional communication

Required

12+ years of experience in technical roles such as solutions architecture, ML engineering, technical product management, or technical consulting working across multiple customers or projects
Strong technical leadership with proven ability to guide teams and influence technical decisions without direct authority
Systems thinking with ability to understand customer business outcomes and translate them into effective technical approaches
Ability and willingness to prototype and help implement solutions hands-on keyboard when needed to solve critical problems or validate approaches
Exceptional communication skills with ability to engage technical teams, executives, and cross-functional stakeholders effectively
Bachelors degree or equivalent experience

Preferred

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 automation
Infrastructure: Kubernetes, GPU scheduling, distributed computing frameworks (SLURM, Ray), and multi-cloud environments
Observability & Automation: CI/CD, Infrastructure as Code, and GPU performance monitoring
Solutions 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 approaches

Benefits

Equity
Benefits

Company

NVIDIA

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NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
dateFounded in 1993
location
Santa Clara, California, USA
people-size10001+ employees
web-link
https://www.nvidia.com

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase