NVIDIA · 1 week ago
Senior Solutions Architect, Generative AI
California, United States
Full-time
Hybrid
Senior Level, Lead/Staff
$184K/yr - $288K/yr
8+ years expNVIDIA is looking for an AI Solutions Architect with hands-on experience in efficient AI model training and deployment for a customer-facing role. The primary responsibilities include accelerating customer workloads and leading technical engagements around NVIDIA software and technologies.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Hiring Manager
Crystal Aggarwal (Crystal Amarante)
Responsibilities
Collaborating closely with customers to improve their workload performance and reduce infrastructure costs
Leading and developing proof-of-concepts for AI solutions applied to the Consumer Internet industry, including areas like LLMs and recommenders, and building collateral (notebook/code) as needed
Developing and debugging software for NVIDIA and open-source AI frameworks and libraries
Partnering with NVIDIA’s software engineering, product, and sales teams to secure design wins and drive the development of innovative solutions based on customer feedback
Qualification
Required
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields, or equivalent experience
8+ years of experience as an AI/Software Engineer with proven track record coding in Python and/or C++ with popular AI software libraries and GPUs
Experience with profiling and optimizing model training/inference performance on GPUs
Experience developing and optimizing GPU kernels for deep learning, with a focus on GEMM and attention kernels
Strong communication skills, with the ability to clearly convey ideas and code through GitHub, documentation, and presentations
A great teammate who enjoys collaborating with cross-functional teams including Engineering, Research, Sales, Product, and Marketing
Self-starter with a passion for growth, continuous learning, and sharing insights with the team
Preferred
Full stack experience from DL framework level (such as PyTorch/JAX) to lower level (such as CUDA/CUTLASS/cuDNN/NCCL)
Experience working with enterprise developers and strong customer-facing skills
Familiarity with MLOps technologies such as containers, Kubernetes, and data center deployments
Experience with large-scale production data pipelines and AI model training/deployment
Creative problem-solving skills for debugging and resolving complex issues
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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