[Remote] Senior Solutions Architect, Industry Customer Success and Partnership – NVIS at NVIDIA

California, United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields
At least 8 years of work or research experience in networking fundamentals, TCP/IP stack, and data center architecture
8+ years of Solution Architect or similar Sales Engineering experience
Deep expertise in datacenter engineering, GPU, networking, including network topologies, server and storage architecture
Proficiency in system-level aspects: Operating Systems, Linux kernel drivers, GPUs, NICs, and hardware architecture
Demonstrated expertise in cloud orchestration software and job schedulers (Kubernetes, Docker Swarm, Slurm)
Familiarity with cloud-native technologies and their integration with traditional infrastructure
Knowledge in InfiniBand and Artificial Intelligence infrastructure (preferred)
Hands-on experience with NVIDIA systems/SDKs (CUDA), NVIDIA Networking technologies (DPU, RoCE, InfiniBand), ARM CPU solutions, and C/C++ programming (preferred)
Knowledge of DevOps/MLOps technologies (Docker/containers, Kubernetes, data center compute/network/storage deployments)

Responsibilities

Engage with NVIDIA Cloud Partners (NCP) to drive initiatives, shape new business opportunities, and cultivate collaborations in AI
Identify and pursue new business opportunities for NVIDIA products and technology solutions in datacenters and AI applications
Serve as a technical specialist for GPU and networking products, collaborating with sales account managers to secure design wins
Conduct regular technical customer meetings to discuss project and product roadmaps, features, and introduce new technology solutions
Develop custom product demonstrations and Proof of Concepts (POCs) addressing critical business needs
Manage technical project aspects of complex data center deployments, including design-in opportunities and responding to RFP/RFI proposals
Analyze, define, and implement large-scale Networking projects
Be the face to the customer

Skills

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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