At NVIDIA, we’re solving the world’s most ambitious problems with our groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. We are looking for a Developer Relations Manager to work with China industrial/research community to integrate our portfolio of GPU Accelerated Computing solutions i.e. AI for difference sciences domains, Machine Learning and Deep Learning, specifically Generative AI & Agentic AI, and to build comprehensive multi-cloud, hybrid and on-prem solutions. We need a passionate, focused, self-driven and creative technologist who has the skills and strive to work in a fast-evolving technological environment that is always on the cutting edge of AI and Accelerating Computing. This individual is motivated, skilled in communication and teamwork, stays organized, and prioritizes achieving goals.
Roles will include being a technical business development and accelerated computing platform evangelist to researcher and developer communities. This includes understanding the community requirements, analyzing the technical requests, integrating new or expanding existing solutions, co-architecting and advising on repeatable solutions, jointly scope project requirements for AI4S, GAI, Agentic AI, Physical AI, and understand integrations with the ecosystem, and private/hybrid platforms, etc. Specially, this opening position is for DataBase and Data Processing developer community support.
What you'll be doing:
Understand China researcher and developer communities, Analyzing the technical requirement, 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.
Deep understanding of database systems and data processing technologies, including cuOpt & graph optimization which are rapidly gaining traction as a GPU-accelerated optimization engine for LP, MILP and VRP workloads along with their associated software ecosystems, performance acceleration techniques, and AI-driven approaches.
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.
We make heavy use of conferencing tools, but some travel is required. You are empowered to find the best way to get your job done and make our partners successful.
What we need to see:
BS, MS, PhD in Engineering, Mathematics, Physics, Electronics, or Computer Science (or equivalent experience).
6+ years of work-related experience on cuOpt, graph optimization, LP, MILP and VRP and GPU-accelerated optimization algorithms.
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
Ways to stand out from the crowd:
Strong cuOpt, graph optimization, LP, MILP and VRP and GPU-accelerated optimization algorithms technical background.
Experience developing CUDA, operations research, AI4S models, robotics research, AI with database research, ML/DL frameworks.
Background with community managements, OSS community, academic alliance, acceleration computing development, LLM training/inference development, robotics, APIs and Microservices, orchestration platforms, database solutions and data migration techniques.
Hands-on Experience in enabling industry solutions for optimization scenarios covering logistics, supply chain, intelligent manufacturing, energy and transportation.
Experience and empathy for software engineering and application development.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!
Skills Required
- Bachelor’s, master’s, or PhD in Engineering, Mathematics, Physics, Electronics, Computer Science, or equivalent experience
- 6+ years of work-related experience with cuOpt, graph optimization, LP, MILP, VRP, and GPU-accelerated optimization algorithms
- Deep understanding of accelerated computing, AI for Science, Agentic AI, Physical AI, LLM ecosystems, ISVs, data stores, cloud services, and SaaS platforms
- Strong analytical and problem-solving skills with empathy for developers
- Clear written and oral communication skills with experience presenting value propositions to executive and technical audiences
- Strong project management skills and ability to manage multiple projects and stakeholders
- Knowledge of recent advancements in AI for Science, LLMs, VLMs, Agentic AI, and Physical AI
- Passion for AI, continuous learning, self-direction, and outcome-focused execution
- Technical background in cuOpt, graph optimization, LP, MILP, VRP, and GPU-accelerated optimization algorithms
- Experience with CUDA, operations research, AI for Science models, robotics research, database research, ML/DL frameworks, or LLM training and inference
- Experience with developer or open-source community management, academic alliances, APIs, microservices, orchestration platforms, databases, or data migration
- Experience enabling optimization solutions for logistics, supply chain, intelligent manufacturing, energy, or transportation
- Software engineering and application development experience
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
