NVIDIA · 19 hours ago
Senior Solutions Architect, AI Factory Infrastructure Software Deployment
NVIDIA is at the forefront of the AI computing revolution, building innovative deep learning solutions that reshape industries worldwide. In this role, you will play a key role in introducing our advanced GPU products to deployments across data centers and edge computing.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU supercomputers for new and existing customers
Be a technical specialist on GPU and networking products, directly supporting sales account managers to secure build wins
Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts
Identify customer architectures and key product requirements in the CSP/OEM AI market to successfully implement NVIDIA's solutions
Provide on-site support to solve hardware and software problems, with a focus on deep learning inference
Lead the product through its entire lifecycle, from the design-in phase to end-of-life, ensuring flawless execution and customer happiness
Actively maintain the NVIDIA side of infrastructure components and capture findings at the customer site
Offer technical and sales training to direct sales teams and channel partners
Qualification
Required
BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience)
5+ years of work-related experience in high-tech IT companies with experience in AWS, Azure, GCP, and Virtualization Technologies (VMware, Linux KVM)
Understanding of AI workloads and multi-library integration
Capable of excelling in a dynamic, constantly evolving environment
Remarkable talent for effectively managing multiple initiatives and priorities
Strong time-management and interpersonal skills for coordinating complex projects
Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams
Preferred
Kubernetes (K8s), Infrastructure orchestrating software (NVIDIA Mission Control)
Experience with hybrid deployments (on-prem and Cloud)
Knowledge of Embedded Linux Systems, APIs, and similar embedded OS
Practical knowledge of NVIDIA systems technology, such as DGX, GB200, and HGX systems, is a huge plus
Experience working with OEMs in industrial, military, and ruggedized computing spaces
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
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
Recent News
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