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NVIDIA

Designs the chips and software that power AI

Developer Relations Manager - CuOpt, Graph Optimization

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A BS, MS, or PhD in Engineering, Mathematics, Physics, Electronics, or Computer Science, or equivalent experience.
  • At least 6 years of work-related experience with cuOpt, graph optimization, linear programming, mixed-integer linear programming, vehicle routing problems, and GPU-accelerated optimization algorithms.
  • Deep understanding of accelerated computing, AI for science, Agentic AI, physical AI, and the ecosystem of LLM startups, independent software vendors, data stores, cloud service provider services, and SaaS/platform offerings.
  • Strong analytical and problem-solving skills, with empathy for developers.
  • Clear written and oral communication skills and a proven ability to articulate value propositions to executive and technical audiences.
  • Strong project management skills, including the ability to plan, prioritize, and advance multiple projects simultaneously while engaging internal and external stakeholders.
  • Extensive knowledge and experience with recent advancements in AI for Science, large language models, vision-language models, Agentic AI, and Physical AI.
  • Passion for AI, continuous learning, self-starting initiative, and an outcome-oriented approach.

Responsibilities

  • Understand China researcher and developer communities, analyze technical requirements, and identify high-impact projects.
  • Bridge NVIDIA tools with community requirements and promote NVIDIA tools, libraries, and software development kits to China researcher and developer communities, independent software vendors, and service providers.
  • Support database and data processing developer communities, including through deep understanding of database systems and data processing technologies such as cuOpt and graph optimization for GPU-accelerated linear programming, mixed-integer linear programming, and vehicle routing problem workloads, related software ecosystems, performance acceleration techniques, and AI-driven approaches.
  • Discover new workflows, identify barriers to independent software vendor adoption, and report findings to product teams.
  • Drive early adoption of new products and support product launches and go-to-market activities.
  • Collaborate with NVIDIA business development managers, solution architects, developer technology engineers, developer marketing, product teams, customers, and communities.
  • Use conferencing tools and travel as needed to support partners.

Desired Qualifications

  • Experience developing with CUDA, operations research, AI for Science models, robotics research, AI with database research, and machine learning/deep learning frameworks.
  • Background in community management, open-source software communities, academic alliances, accelerated computing development, LLM training and inference development, robotics, APIs and microservices, orchestration platforms, database solutions, and data migration techniques.
  • Hands-on experience enabling industry optimization solutions in logistics, supply chain, intelligent manufacturing, energy, and transportation.
  • Experience and empathy for software engineering and application development.
  • Strong technical background in cuOpt, graph optimization, linear programming, mixed-integer linear programming, vehicle routing problems, and GPU-accelerated optimization algorithms.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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