# Developer Relations Manager - Al Algorithms, Benchmarks, OSS Datasets

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Beijing/Developer-Relations-Manager---Al-Algorithms--Benchmarks--OSS-Datasets_JR2019488?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d8245f53-bc8

## Description

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 different sciences domains, Machine Learning and Deep Learning, specifically Generative AI & Agentic AI, and to build comprehensive multi-cloud, hybrid and on-prem solutions.

**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.

- Deep understanding of AI algorithms, datasets, and benchmarks, including reinforcement learning for post-training; familiarity with widely used datasets, benchmarks, and leaderboard communities across both general and vertical domains; as well as the associated software ecosystems, performance acceleration techniques, and AI-driven methodologies.

- 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.

**Requirements:**

- BS, MS, PhD in Engineering, Mathematics, Physics, Electronics, or Computer Science (or equivalent experience).

- 4+ years of work-related experience (AI algorithms, datasets, and benchmarks especially) 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.

**Nice to Have:**

- Strong technical background in AI algorithms, datasets, and benchmarking, with particular expertise in reinforcement learning for post-training; deep familiarity with widely used datasets, benchmarks, and leaderboard ecosystems across both general and vertical domains.

- Experience developing CUDA, operations research, AI4S models, robotics research, AI with database research, ML/DL frameworks.

- Background with community management, 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.

## Skills

### Required
- AI algorithms
- datasets
- benchmarks
- GPU accelerated computing
- Machine Learning
- Deep Learning
- Generative AI
- Agentic AI

### Nice to have
- reinforcement learning
- CUDA
- operations research
- AI4S models
- robotics research
- AI with database research
- ML/DL frameworks

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Beijing/Developer-Relations-Manager---Al-Algorithms--Benchmarks--OSS-Datasets_JR2019488?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)