[Remote] Solutions Architect at NVIDIA

Netherlands

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Cloud Computing, HPC, Telecommunications, EnterpriseIndustries

Requirements

5+ years of Solution Architect (or similar Sales Engineering roles) experience
Bachelor’s degree or equivalent experience in computer science, electrical engineering, or computer engineering
Datacenter solutions, cloud technologies, or networking knowledge
Deep understanding of K8s and Linux Virtualization technologies (KVM)
Networking experience, including network topologies considerations, solid knowledge of L2/L3 Ethernet or other networking protocols
Understanding of Server system-level issues, including Operating Systems, Linux kernel drivers, PCIe devices, NICs, and hardware architecture
Technical presentation skills and confidence in developing Proofs-of-Concept
Strong sense of achievement and customer focused attitude
Effective time management and capable of balancing multiple demands with competing deadlines
Ability to handle and resolve critical customer issues/problems resulting in a high level of customer satisfaction
Willingness to travel as needed (up to 25% of the workload), mainly in Central and Northern Europe

Responsibilities

Discover new business opportunities for Nvidia, focusing on Networking products and integrating GPU and networking into a data-center solution
Architect end-to-end datacenter for AI & Large-Language-Models (LLM) applications, cloud, telco, and enterprises
Work closely with the sales teams and product marketing to define solutions answering customer needs
Technical account management for Nvidia Networking and E2E datacenter products key accounts
Conducting regular customer meetings for product updates and introductions to new technology solutions and delivering product roadmap presentations to customers and technology partners
Responding to RFP/RFI proposals for AI factories, HPC clusters, Cloud, Enterprise and more, covering datacenter technologies designs
Building and delivering custom-tailored product demonstrations and POCs for solutions that address critical business needs for our customers
Technical project management of complex networking and datacenter technologies deployments and design-in opportunities
Analyzing and troubleshooting performance or functionality issues with new technology at the customer site
Preparing and delivering technical training presentations
Provide constructive feedback to engineering regarding product requirements, evolution, including submitting Requests for Enhancements supported with business evidence

Skills

Networking

GPU

Datacenter Architecture

HPC

LLM

Cloud

Telco

RFP

RFI

POC

Product Demonstrations

Technical Account Management

Project Management

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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