Ecosystem Developer Relationships Manager at NVIDIA

Hanoi, Hanoi, Vietnam

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Public Sector, AIIndustries

Requirements

BS or MS in Engineering or Computer Science (or equivalent experience) as well as 10+ years of work-related experience in technical leadership role and GPU accelerated computing solutions
Experience with NVIDIA products and SDKs (e.g. NIMs, NeMo, CUDA, CUDA-X Libraries)
Strong curiosity about understanding new technologies and adept at conveying their value to business executives and software development leaders
Deep understanding of Gen AI and LLM ecosystem of startups and ISVs
Strong analytical and problem-solving skills combined with an ability to multitask effectively in a dynamic environment
Demonstrated experience working across multiple countries in the region
Excellent written and oral communication skills in English

Responsibilities

Build and lead strategic partnerships with the ISV partners that drive the adoption of NVIDIA software offerings
Deeply understand Gen AI workflows and LLM breakthroughs, and bring that understanding to evolving the ecosystem, building a network of influencers, and tracking opportunities in progress
Develop a spirit of co-innovation and find opportunities for joint success, promoting NVIDIA software within the Independent Software Vendor (ISV) architect and developer communities
Discover new ISV workflows, identify blockers to ISV adoption, and share with product teams
Stay up to date with NVIDIA’s broad and constantly evolving portfolio of software (including tools, libraries, SDKs, NIMs, and blueprints), driving early adoption of new offerings
Drive Startups and ISV enablement and consulting engagements, identifying and bringing top partners into opportunities with governments to accelerate sales cycles and drive consumption of GPUs
Drive early adoption of new products and support launch and go-to-market activities
Collaborate with NVIDIA partner managers, solution architects, industry business development managers, sales and marketing

Skills

Generative AI

LLM

NVIDIA software

SDKs

NIMs

ISV partnerships

ecosystem building

co-innovation

public sector

startups enablement

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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