Developer Relations Manager - CSP and Hyperscale at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, Cloud ComputingIndustries

Requirements

BS/MS/PhD in Computer Science or Engineering or equivalent experience
12+ years experience with Cloud, AI, Scalable Applications, Data Analytics, and GPU technology
Good technical understanding of Generative AI, high-performance computing, database analytics
Solid understanding of machine learning, deep learning, artificial intelligence platforms and ecosystems
Comfortably work across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers

Responsibilities

Lead and develop NVIDIA developer and ISV strategy with multi-functional team: Product, Engineering, Applied Research, Marketing, and Sales
Develop a detailed understanding and prioritization list of services and applications that could benefit from GPU acceleration in the AI / Gen AI space
Lead strategic relationship with key opinion leaders, influential researchers, leading product teams, leading developers focused new initiatives
Establish strategic relationships with CSP engineering leads & developers, dedicate yourself to making them successful. Turn features requests into actionable engineering and product steering
Understand application workflow and architectural requirements to enable GPU based workloads acceleration. Integrate NVIDIA GPU acceleration into CSP Applications
Be alert to the competitive landscape and communicate internally
Create strategic partnership and build community by attending research conferences and hosting technical meetups. Host CSP developers summits; AI, Deep Learning, HPC, Professional Visualization. Engage industry events to speak, collect requirements, establish relationships, showcase NVIDIA GPU accelerated solutions

Skills

Key technologies and capabilities for this role

Deep LearningGenerative AIArtificial IntelligenceMachine LearningGPU AccelerationDeveloper AdvocacyProduct ManagementBusiness DevelopmentData Analytics

Questions & Answers

Common questions about this position

What education and experience are required for this Developer Relations Manager role?

A BS/MS/PhD in Computer Science or Engineering or equivalent experience is required, along with 12+ years of experience with Cloud, AI, Scalable Applications, Data Analytics, and GPU technology.

What key technical skills are needed for this position?

Candidates need a good technical understanding of Generative AI, high-performance computing, database analytics, as well as solid understanding of machine learning, deep learning, and artificial intelligence platforms and ecosystems.

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 experience makes a strong candidate for this Developer Relations Manager position?

Strong candidates will have 12+ years in Cloud, AI, Scalable Applications, Data Analytics, and GPU technology, plus deep knowledge of Generative AI, machine learning, deep learning, and AI ecosystems, with a passion for building engineering partnerships.

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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