Developer Relations Manager at NVIDIA

Beijing, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High-Performance ComputingIndustries

Requirements

BS, MS, PhD in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience)
5+ years of work-related experience in technical leadership role and architecting GPU accelerated computing solutions
Deep understanding of accelerated computing, AI for science, Agentic AI, physical AI and LLM ecosystem of startups, ISVs, data stores, CSP services, and SaaS/platform offers
Strong analytical and problem-solving skills, with deep empathy for developers
Clear written and oral communication skills with proven track record to articulate value propositions to executive and technical audiences
Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, while engaging with internal and external stakeholders
Extensive knowledge and experience with recent advancements in AI for Science, LLMs, VLMs, Agentic AI and Physical AI
Passionate about AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome oriented activities

Responsibilities

Understand China researcher and developer communities, analyze technical requirements, identify needle-moving projects
Bridge NVIDIA tools with communities' requirements
Promote NVIDIA tools, libraries, and SDK’s with China researcher and developer communities, ISV and Service Providers
Deeply understand AI4S, AI teaching, Agentic AI, Physical AI workflows and LLM breakthroughs, evolving ecosystem and alliances
Attend conferences, build a network of influencers, and track opportunities in progress
Discover new workflows, identify blockers to ISV adoption, and report back to the product teams
Drive early adoption of new products and support launch and go-to-market activities
Collaborate with NVIDIA business development managers, solution architects, developer technology engineers, developer marketing, product teams to engage with customers and communities

Skills

GPU Accelerated Computing

Generative AI

Agentic AI

Machine Learning

Deep Learning

AI4S

Physical AI

LLM

Multi-Cloud

Hybrid Cloud

NVIDIA SDKs

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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