远程工作雷达

高级数据后端工程师

Senior Data Backend Engineer

AI开发工程限定地区（需当地身份）
公司NVIDIA
薪资$184,000 - $356,500/年
工作地点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 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。

NVIDIA 是高速计算机视觉、人工智能（AI）和深度学习领域的全球领导者。我们的团队开发数据工程解决方案，赋能自动驾驶（AV）领域的AI开发者，以快速且高效的方式实现大规模创新。你是否准备好承担构建高性能AI数据管道的高级技术角色？我们正在寻找一位杰出的个人，负责设计和优化微服务和数据管道，以处理大量AV数据，并实现无缝的数据挖掘和AI训练。理想的候选人应具备大数据处理和分布式计算的专业知识，为视频数据整理、行为搜索和AI数据集管理等挑战创建高效的解决方案和整体架构。

你将负责：

  • 范围界定并构建工具、微服务、工作流和分布式应用，以加速数据挖掘和AI训练。
  • 设计并实现流处理、容错、日志记录、安全、认证、工作流编排和数据管理的解决方案。
  • 部署AI模型。
  • 设计和开发检索增强生成（RAG）工作流，支持混合和代理模式。
  • 分析并实现复杂的分布式系统，以实现极速性能。

我们需要看到：

  • 具备开发高性能、可扩展软件系统的经验。
  • 硕士学历，6年以上相关经验，或学士学位（或同等经验）8年以上在计算机科学、计算机工程或相关技术领域的工作经验。
  • 强大的Python或Golang编程技能。
  • 熟练掌握关键技术，如Kubernetes、Helm、Hive、Parquet、SQL、向量数据库（例如Milvus）。
  • 具备强大的架构能力，具有积极主动、解决问题的思维。
  • 具备数据挖掘 | AI开发经验。
  • 具备构建ETL管道和使用大数据引擎的经验。
  • 优秀的协作能力，能够与系统软件和AI专家团队合作。
  • 对学习和采用新技术（如NVIDIA RAPIDS）充满热情。

脱颖而出的方式：

  • 具有大规模实时流处理、增强现实或数据整理方面的经验。
  • 具有Spark背景。
  • 接触过AI的最新进展，包括大语言模型、视觉-语言模型和检索增强生成（RAGs）。
  • 创新成果，包括专利、论文或开源贡献。

你的基本薪资将根据你的所在地和经验确定

查看英文原文

NVIDIA is a global leader in high-speed computer vision, artificial intelligence (AI), and deep learning. Our team develops data engineering solutions that empower AI developers in autonomous vehicle (AV) domains to innovate quickly and effectively at scale. Are you ready to take on a senior technical role in building high-performance AI data pipelines? We seek an exceptional individual to design and optimize microservices and data pipelines to process massive volumes of AV data and enable seamless data mining and AI training. The ideal candidate will bring expertise in big data processing and distributed computing to create efficient solutions and overarching architectures for challenges such as video data curation, behavioral search, and AI dataset management.
What you'll be doing:

  • Scope and build tools, microservices, workflows, and distributed applications to accelerate data mining and AI training.
  • Design and implement solutions for streaming, resilience, logging, security, authentication, workflow orchestration, and data management.
  • Deploy AI models.
  • Design and develop Retrieval-Augmented Generation (RAG) workflows enabling hybrid and agentic patterns.
  • Analyze and operationalize complex distributed systems for speed-of-light performance.

What we need to see:

  • Experience developing high-performance, scalable software systems.
  • MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
  • Strong programming skills in Python or Golang
  • Proficiency in key technologies like Kubernetes, Helm, Hive, Parquet, SQL, vector databases, e.g., Milvus.
  • Strong architectural skills with a proactive, problem-solving mentality.
  • Experience in data mining | AI development
  • Experience building ETL pipelines and working with big data engines.
  • Exceptional collaboration skills to work with system software and AI expert teams.
  • Eagerness to learn and adopt new technologies such as NVIDIA RAPIDS.

Ways to Stand Out from the Crowd:

  • Prior experience with large-scale real-time streaming, augmented reality, or data curation.
  • Prior background with Spark.
  • Exposure to the latest advances in AI, including Large Language Models, Vision-Language Models, and Retrieval-Augmented Generation (RAGs).
  • Innovative results, including patents, publications, or open source contributions.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 22, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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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