开发者关系经理，高等教育与研究 - 基础AI
Developer Relations Manager, Higher Education and Research - Foundational AI
我们正在寻找一位以使命为导向的开发者关系经理，专注于基础AI研究，与推动下一代AI模型、系统和方法的领先学术实验室进行互动。在此职位中，您将直接与构建前沿AI系统的顶级研究人员合作，包括大型语言模型、多模态模型、推理系统、训练方法、推理系统、模型服务和可扩展AI基础设施。您将帮助研究人员采用NVIDIA的AI和加速计算平台，推动模型性能、效率和规模的边界。
理想的候选人具备基础AI领域的深厚技术可信度、强烈的研究参与经验，以及在AI推理研究或AI训练研究方面的实际操作技能。
您将负责：
- 作为值得信赖的技术顾问，为从事基础模型、LLM、多模态AI、推理、训练、推理和AI系统的研究机构提供支持。
- 识别NVIDIA软件、系统和加速计算平台能够提升模型性能、规模和效率的高影响力研究工作负载。
- 与首席研究员、博士后、研究生和实验室领导沟通，了解研究目标、技术障碍、基础设施需求和合作机会。
- 跟踪论文、基准测试、开源项目和学术实验室中的前沿AI研究，以识别新兴趋势和未来平台机会。
- 与研究客户经理、解决方案架构师、产品、工程和业务发展团队合作，支持研究人员的采用和长期参与。
- 内部代表研究人员的需求，将学术反馈转化为对产品路线图、开发者计划、教育和平台策略的可操作见解。
- 支持NVIDIA在主要AI、机器学习和系统研究会议中的参与，通过技术内容、研讨会、大学合作和面向实验室的项目进行。
我们需要看到：
- 计算机科学、AI、机器学习、应用数学、电子工程或相关技术领域的博士学位，或同等研究深度。
- 5年以上工作经验
- 在基础AI领域有深入的专业知识，包括LLM、多模态模型、生成式AI、推理、训练后优化、模型评估或AI系统研究。
- 对现代AI模型开发的全生命周期有深刻理解，包括预训练、微调、训练后优化、评估等。
查看英文原文
We are seeking a mission-driven Developer Relations Manager focused on Foundational AI Research to engage leading academic labs advancing the next generation of AI models, systems, and methods. In this role, you will work directly with top researchers building frontier AI systems, including large language models, multimodal models, reasoning systems, training methods, inference systems, model serving, and scalable AI infrastructure. You will help researchers adopt NVIDIA’s AI and accelerated computing platforms to push the boundaries of model performance, efficiency, and scale.
The ideal candidate brings deep technical credibility in foundational AI, strong research engagement experience, and hands-on expertise in either AI inference research or AI training research.
What you'll be doing:
- Serve as a trusted technical advisor to leading academic AI labs working on foundation models, LLMs, multimodal AI, reasoning, training, inference, and AI systems.
- Identify high-impact research workloads where NVIDIA software, systems, and accelerated computing platforms can advance model performance, scale, and efficiency.
- Engage principal investigators, postdocs, graduate researchers, and lab leadership to understand research goals, technical blockers, infrastructure needs, and collaboration opportunities.
- Track frontier AI research across papers, benchmarks, open-source projects, and academic labs to identify emerging trends and future platform opportunities.
- Partner with Research Account Managers, Solution Architects, Product, Engineering, and Business Development teams to support researcher adoption and long-term engagement.
- Represent researcher needs internally by translating academic feedback into actionable insights for product roadmaps, developer programs, education, and platform strategy.
- Support NVIDIA participation in major AI, ML, and systems research venues through technical content, workshops, university engagements, and lab-facing programs.
What we need to see:
- PhD in Computer Science, AI, Machine Learning, Applied Mathematics, Electrical Engineering, or a related technical field, or equivalent research depth.
- 5+ years of experience
- Deep expertise in foundational AI, including LLMs, multimodal models, generative AI, reasoning, post-training, model evaluation, or AI systems research.
- Strong understanding of modern AI model development across the lifecycle, including pretraining, fine-tuning, post-training, optimization, evaluation, deployment, and model serving.
- Hands-on experience with AI research stacks such as PyTorch, JAX, distributed training frameworks, inference systems, model serving platforms, evaluation pipelines, and GPU-accelerated workflows.
- Technical fluency in scalable AI systems, including distributed training, parallelism strategies, checkpointing, memory optimization, batching, scheduling, latency, throughput, and cost-performance tradeoffs.
- Familiarity with methods that improve model efficiency and performance, such as quantization, distillation, sparsity, speculative decoding, attention optimization, synthetic data generation, RLHF/RLAIF, and preference optimization.
- Ability to engage top academic labs on frontier research challenges, including scaling behavior, compute efficiency, model quality, benchmark methodology, reproducibility, reliability, and research impact.
- Demonstrated research credibility through publications, open-source contributions, academic collaborations, technical leadership, or direct work on frontier AI systems.
Ways to stand out from the crowd:
- Experience with NVIDIA AI platforms, including CUDA, CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NIM, NeMo, Megatron, Transformer Engine, NCCL, DGX, NVLink, InfiniBand, or NVIDIA AI Enterprise.
- Established relationships with leading AI labs, academic institutions, research institutes, benchmark communities, or major open-source AI projects.
- Track record translating frontier AI research into demos, tutorials, reference architectures, workshops, technical blogs, or developer enablement programs.
- Experience presenting at venues such as NeurIPS, ICML, ICLR, CVPR, AAAI , or related research workshops.
- Ability to identify emerging research trends and convert them into strategic opportunities for collaboration, platform adoption, and ecosystem growth.
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 people in the world working for us. If you're creative and autonomous, we want to hear from you. NVIDIA is committed to foster a diverse work environment and proud to be an equal opportunity employer!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 24, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Originally posted on Himalayas