[Remote] Senior Solutions Architect, Supercomputing at NVIDIA

United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Supercomputing, HPC, AIIndustries

Requirements

Passion for HPC and AI
A postgraduate degree in a STEM related discipline or equivalent experience
5 years in the technical pre-sales of datacenter solutions
Significant expertise in complex system architecture and network topologies, GPU computing, parallel filesystems, cluster operations, workload schedulers, datacenter engineering, etc
Action oriented with strong analytical skills, good organization skills to work in a heavily multi-tasked environment, self-motivated to work independently with minimal day-to-day direction
Strong collaboration and social skills, ability to communicate effectively with customers and across organizations (Engineering, Sales, Support), fluent in English both oral and written

Responsibilities

Be an inspiring leader on integrating NVIDIA technology into IT architectures to support scientific and engineering applications
Conduct regular technical customer meetings to discuss projects, present product portfolio and roadmaps, and deliver technical training
Manage technical aspects of complex datacenter solutions and deployments, including design-in opportunities and responding to RFP/RFI proposals
Interact with NVIDIA OEM partners to understand their product roadmap and positioning using NVIDIA technology
Interact with end-users in academia and industry, develop a keen understanding of their goals and needs, define and deliver high-value solutions that meet these needs
Communicate customer requirements to NVIDIA Engineering to foster product improvements

Skills

NVIDIA

Supercomputing

HPC

Datacenter

Solutions Architecture

RFI

RFP

Technical Sales

Product Roadmap

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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