NVIDIA · 15 hours ago
Senior Solutions Architect, Generative AI Data Processing
New York, United States
Full-time
Hybrid
Senior Level, Lead/Staff
$184K/yr - $288K/yr
8+ years expNVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. The role involves becoming a trusted technical advisor, collaborating with various teams, and deploying AI solutions in production using Data Processing for Generative AI.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions
Dynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areas
Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform
Working closely with customers to help them adopt and build creative solutions using NVIDIA technology
Design and implement scalable systems to accelerate agentic workflows and efficiently handle datacenter-scale use cases
Some travel to conferences and customers may be required
Qualification
Required
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 Analytics
Strong fundamentals in programming, optimizations, and software design, especially in Python
Strong problem-solving and debugging skills
Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments
Excellent presentation, communication and collaboration skills
Preferred
Prior experience with AI at scale on cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure
Experience with NVIDIA GPUs and software libraries, such as NVIDIA NeMo Framework, NeMo Retriever, cuVS, RAPIDS
Expertise in MLOps including Kubernetes, Docker, Helm charts, Jupyter notebooks
Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
Familiarity with parallel programming and distributed computing platforms
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
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 CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
Business Insider
2026-01-09
Business Insider
2026-01-09
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