Developer Relations Manager at NVIDIA

Beijing, China

NVIDIA Logo
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

Key technologies and capabilities for this role

GPU Accelerated ComputingGenerative AIAgentic AIMachine LearningDeep LearningAI4SPhysical AILLMMulti-CloudHybrid CloudNVIDIA SDKs

Questions & Answers

Common questions about this position

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

A BS, MS, or PhD in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience) is required, along with 5+ years of work-related experience in technical leadership and architecting GPU accelerated computing solutions.

What key skills are needed for this position?

Candidates need a deep understanding of accelerated computing, AI for science, Agentic AI, physical AI, and the LLM ecosystem, plus strong analytical and problem-solving skills with deep empathy for developers, and clear written and oral communication skills.

Is remote work possible, or is travel required?

The role makes heavy use of conferencing tools, but some travel is required.

What is the salary or compensation for this role?

This information is not specified in the job description.

What qualities make a strong candidate for this Developer Relations Manager position?

A passionate, focused, self-driven, and creative technologist with strong communication and teamwork skills, who stays organized, prioritizes goals, and thrives in a fast-evolving AI and accelerated computing environment.

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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