出海雷达

Developer Relations Manager – AI Natives

AI开发工程限定地区(需当地身份)
公司NVIDIA
薪资$152,000 - $287,500/年
工作地点Canada, United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 Canada、United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

我们正在寻找一个有远见的开发人员关系经理,与下一代 AI 原生软件公司合作。这些公司将创建由生成模型,代理和多模式人工智能驱动的全新产品类别。在这个角色中,你将直接与 AI 原生创始人,产品领导者和工程团队合作,帮助他们设计,优化和扩展他们的 AI 平台基于 NVIDIA 技术。你将指导企业构建机构系统,AI 副驾驶员,开发工具,推理模型和多模式 AI 应用程序,帮助它们加快培训,优化推断,并为数百万用户提供世界级 AI 体验。理想的候选人将 AI 系统,开发者平台和大型推断基础设施方面的深入技术专业知识结合在一起,并热衷于与世界上最雄心勃勃的创业公司创始人和工程师一起工作。你将做什么:·作为下一代人工智能原生企业建立类别定义应用程序的可靠技术顾问,如开发人员副驾驶员,人工智能搜索引擎,代理平台和多模式创造性工具。· 直接与创业公司的创始人和工程团队合作,使用 NVIDIA 技术设计和优化 AI 工作负载,包括 CUDA-X 图书馆,TensorRT-LLM,Triton Inference Server,NVIDIA NeMo,NIM 微服务以及 GPU 加速数据处理框架。·帮助人工智能原生企业培训和推断基础设施,优化模型性能,成本效率和延迟在 NVIDIA 加速计算平台上。·引导初创企业通过包括人工智能模型优化,推测规模,代理框架,多模式框架管道和实时系统等复杂的架构决策。·与 NVIDIA 工程,研究,产品和上市团队密切合作,以确定新兴 AI 原生类别并影响 NVIDIA 平台路线图。·建立与创始人,CTO 和技术领导者之间的关系,确保 NVIDIA 是最具创新的 AI 公司的选择平台。·支持创造参考架构,AI 蓝图和最佳实践,使 AI 原生公司能够部署可扩展的 AI 应用程序和代理系统。· 与 NVIDIA 的行业商务开发团队,解决方案建筑师和账户管理人员合作,以加速在高速增长的 AI 原生公司中采用 NVIDIA 技术。

查看英文原文

We are seeking a visionaryDeveloper Relations Manager to engage with the next generation ofAI-native software companies—the builders creating entirely new categories of products powered bygenerative models, agents, and multimodal AI. In this role, you will partner directly withAI-native founders, product leaders, and engineering teams to help them design, optimize, and scale their AI platforms on NVIDIA technologies. You will guide companies buildingagentic systems, AI copilots, developer tools, reasoning models, and multimodal AI applications, helping them accelerate training, optimize inference, and deliver world-class AI experiences to millions of users. The ideal candidate combines deep technical expertise inAI in systems, developer platforms, and large-scale inference infrastructure with a passion for working alongside the world’s most ambitious startup founders and engineers.
What you will be doing:

  • Serve as atrusted technical advisor to the next generation of AI-native companies building category-defining applications such as developer copilots, AI search engines, agentic platforms, and multimodal creative tools.
  • Work directly with startup founders and engineering teams toarchitect and optimize AI workloads using NVIDIA technologies including CUDA-X libraries, TensorRT-LLM, Triton Inference Server, NVIDIA NeMo, NIM microservices, and GPU-accelerated data processing frameworks.
  • Help AI-native companies scaletraining and inference infrastructure, optimizing model performance, cost efficiency, and latency across NVIDIA accelerated computing platforms.
  • Guide startups through complex architectural decisions includingmodel optimization, inference scaling, agent frameworks, multimodal pipelines, and real-time AI systems.
  • Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams toidentify emerging AI-native categories and influence NVIDIA’s platform roadmap.
  • Build strong relationships with founders, CTOs, and technical leaders across the AI-native ecosystem toensure NVIDIA is the platform of choice for the most innovative AI companies.
  • Support the creation ofreference architectures, AI blueprints, and best practices that enable AI-native companies to deploy scalable AI applications and agentic systems.
  • Partner with NVIDIA’s Industry Business Development teams, Solutions Architects, and Account Managers to accelerate adoption of NVIDIA technologies across high-growth AI-native companies.

What we need to see:

  • BS/MS degree or equivalent experience in Computer Science, Engineering, or a related field.
  • 5+ years of experience in software engineering, developer relations, solutions architecture, technical partnerships, or product management within AI, developer platforms, or large-scale software systems.
  • Hands-on experience building or scalingAI-powered products, developer platforms, or large-scale cloud services.
  • Strong expertise inmachine learning infrastructure, model serving, distributed systems, and real-time AI applications.
  • Deep understanding of the modern AI stack includingLLMs, agent frameworks, multimodal models, and inference optimization.
  • Proven ability to work closely with engineering teams and startup founders toinfluence product architecture and technical roadmaps.
  • Exceptional communication skills and the ability to explain complex AI systems to audiences ranging from engineers to startup founders and executives.
  • Experience working within fast-moving startup environments or supporting high-growth developer ecosystems.

Ways to Stand Out from the crowd:

  • Experience working with AI-native startups building developer tools, AI copilots, agent platforms, search systems, or multimodal applications.
  • Hands-on experience optimizing LLM training or inference workloads using frameworks such as TensorRT-LLM, Triton Inference Server, CUDA, RAPIDS, or similar GPU acceleration technologies.
  • Experience building or scaling AI infrastructure platforms, developer tools, or agent frameworks used by large developer communities.
  • Demonstrated success working directly with startup founders and early engineering teams to shape product architecture and platform strategy while also helping them scale to full out platform companies.
  • Experience contributing to open-source AI frameworks or developer ecosystems.

With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you!
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 March 28, 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

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