Partner Solutions Architect

France

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Artificial Intelligence, Cloud Computing, SemiconductorsIndustries

Requirements

Candidates should possess 7+ years of experience in partner-facing technical roles, with a strong aptitude for engaging in technical conversations that solve problems. Channel experience, strategic advisory, and partnership development are essential, alongside excellent communication and interpersonal skills. A full stack understanding from AI Apps & Workflows to AI Factories, including applications, frameworks, OS, hypervisors, server hardware, networking, and storage, is crucial. Most successful candidates will have at least a BS degree in a technical field, excellent presentation skills, and proficient written and verbal English, with a European second language being advantageous. While not requiring specialization in AI, DL/ML, Virtualization, or Visualization, a strong understanding and willingness to learn these areas are highly valued.

Responsibilities

The Partner Solutions Architect will promote NVIDIA's culture with partners and customers, activate and enable partners through workshops, and expand their capabilities with pre-sales support on new technologies. Responsibilities include building and nurturing a community of Subject Matter Experts among partners, fostering learning by sharing feedback and knowledge, and providing technical guidance. The role involves working closely with Partner Business Managers to help partners craft solutions for customers in areas like AI, DL/ML, HPC, virtualization, and visualization, leveraging NVIDIA's AI software, infrastructure, and services. This includes delivering technical sales presentations, product demonstrations, hands-on training, and proof of concepts, as well as overcoming objections and influencing end-to-end solutions development.

Skills

Solutions Architecture

Artificial Intelligence

Machine Learning

Deep Learning

Hybrid Cloud

Multi-cloud

Digital Twin

Accelerated Computing

Pre-sales Support

Community Building

Technical Enablement

Go-to-market Strategy

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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