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

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, High Performance ComputingIndustries

Requirements

BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields with at least 8 years work or research experience in networking fundamentals, TCP/IP stack, and data center architecture
8+ years of Solution Architect or similar Sales Engineering experience, demonstrating motivation and skills to drive the technical pre-sales process
Deep expertise in datacenter engineering, GPU, networking, including a solid understanding of network topologies, server and storage architecture
Proficiency in system-level aspects, encompassing Operating Systems, Linux kernel drivers, GPUs, NICs, and hardware architecture
Demonstrated expertise in cloud orchestration software and job schedulers, including platforms like Kubernetes, Docker Swarm, and HPC-specific schedulers such as Slurm
Familiarity with cloud-native technologies and their integration with traditional infrastructure
Strong technical presentation skills in English, confidence in developing Proofs-of-Concept, customer-focused mentality, good organization skills, logical approach to problem-solving, and effective time management for handling concurrent requests
Ways to stand out
Knowledge in InfiniBand and Artificial Intelligence infrastructure
Demonstrated hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), ARM CPU solutions, coupled with proficiency in C/C++ programming, parallel programming, and GPU development
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center compute/network/storage deployments
Large scale systems management

Responsibilities

Engage with NVIDIA Cloud Partners (NCP) to drive initiatives, shape new business opportunities, and cultivate collaborations in the field of Artificial Intelligence (AI), contributing to the advancement of our cloud solutions
Identify and pursue new business opportunities for NVIDIA products and technology solutions in datacenters and artificial intelligence applications, closely collaborating with Engineering, Product Management, and Sales teams
Serve as a technical specialist for GPU and networking products, collaborating closely with sales account managers to secure design wins and actively engaging with customer engineers, management, and architects at key accounts
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, supporting sales efforts
Manage technical project aspects of complex data center deployments, including design-in opportunities and responding to RFP/RFI proposals

Skills

Key technologies and capabilities for this role

Solutions ArchitectureCustomer SuccessNetworkingSystem DesignAutomationGPUArtificial IntelligenceDeep LearningData AnalyticsHPCProof of ConceptsCloud ComputingDatacenter

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Solutions Architect role?

A BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields is required, along with at least 8 years of work or research experience in networking fundamentals, TCP/IP stack, and data center architecture. The ideal candidate has 8+ years of Solution Architect or similar Sales Engineering experience.

What key skills are needed for this position?

Candidates need deep expertise in datacenter engineering, GPU, and networking, along with excellent interpersonal skills, strong technical presentation skills in English, confidence in developing Proofs-of-Concept, good organization skills, logical problem-solving, and effective time management.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of team will I be working with in this role?

You'll work on a dynamic customer-focused team within the NVIDIA Infrastructure Specialist Team, interacting with customers, partners, internal teams, Engineering, Product Management, and Sales.

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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