出海雷达

梦工厂技术 - 高级AI软件工程师

DreamWorks Technology - Senior AI Software Engineer

AI开发工程限定地区(需当地身份)
公司NBCUniversal
薪资$155,000 - $190,000/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18 天前
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。

“你在这里主要负责什么?”

  • 与技术及制作团队,包括高级工程师合作,塑造平台即服务(PaaS)实施的最佳实践,托管无状态应用和AI基础设施
  • 影响并参与代理工程和MCP服务器开发工作
  • 在AI和代理系统的治理、安全和可观测性最佳实践的开发和采用方面起主要作用,帮助建立安全、可靠、负责任和可观察的AI代理开发和运营标准
  • 利用Kubernetes编排和操作符,自动化跨多个环境(本地部署和云中)的无状态应用部署和管理
  • 利用企业级Kubernetes软件堆栈解决方案,在Kubernetes平台上开发、部署和运行AI工作负载,覆盖开发和生产环境
  • 识别平台服务中的流程和效率改进领域;提出解决方案并协助监督实施。积极促进持续改进
  • 监控和维护平台基础设施,使用Datadog等工具进行性能跟踪、警报和容量管理
  • 参与持续的组织网络安全漏洞缓解和合规工作
  • 定义并记录标准运行手册和操作流程。创建并维护系统信息和架构图
  • 开发和维护微服务、工具和自动化
  • 为生产环境提供软件故障排除和修复支持

“你需要具备哪些条件才能胜任这份工作?”

  • 计算机科学、工程或相关技术领域的学士学位
  • 8年以上软件、DevOps或平台工程经验,其中1年以上构建用于实际工作流的AI系统
  • 具有云原生技术和架构的实际经验(Docker、Kubernetes)
  • 在开发和部署AI代理、工具调用系统和多代理系统方面有实际经验
  • 精通版本控制和DevOps最佳实践(Git)
  • 精通Linux(Red Hat、CentOS),并熟练掌握一种或多种Unix shell脚本语言(Bash、C-Shell)
  • 精通Python、Java或JavaScript开发
  • 具备运维支持经验,包括使用Datadog、Prometheus或其他类似工具进行平台基础设施监控和故障排除
查看英文原文

“What would you say you do here?”

  • Collaborate across technology and production teams including principal engineers to shape the best practices of Platform as a Service implementation hosting stateless applications and AI infrastructure
  • Influence and contribute to the Agentic Engineering and MCP Server Development efforts
  • Major contributor to the development and adoption of governance, security, and observability best practices for AI and agentic systems, helping establish standards for secure, reliable, responsible, and observable AI agent development and operations
  • Leverage Kubernetes orchestration and operators to automate stateless application deployments and administration across multiple environments (on-premises and in the cloud)
  • Leverage Enterprise grade Kubernetes software stack solution for developing, deploying, and running AI workloads on a Kubernetes platform across development and production environments
  • Identify areas for process and efficiency improvement within Platform Services; recommend solutions and assist in overseeing implementation. Actively facilitate continuous improvement.
  • Monitor and maintain platform infrastructure, utilizing tools like Datadog for performance tracking, alerts, and capacity management
  • Participate in continuous organizational cyber security vulnerability mitigation and compliance efforts
  • Define and document standard run books and operating procedures. Create and maintain system information and architecture diagrams
  • Develop and maintain microservices, tools and automation
  • Provide software troubleshooting and break-fix support for production

“What do I need to have in order to do this job?”

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field
  • 8+ years of experience in Software, DevOps or Platform Engineering, with 1+ years building AI systems for real workflows.
  • Hands-on experience in cloud-native technologies and architectures (Docker, Kubernetes).
  • Proven experience developing and deploying AI agents, tool-calling systems, and multi-agent systems
  • Proficiency in revision control and DevOps best practices (Git)
  • Expert Linux experience (Red Hat, CentOS) and proficient with one or more Unix shell scripting languages (Bash, C-Shell)
  • Proficient in either Python, Java, or JavaScript development
  • Operational support experience, including platform infrastructure monitoring and troubleshooting using tools like Datadog, Prometheus, or similar

“What can I offer?”

  • Strong, hands-on experience managing and troubleshooting production workloads running on Kubernetes
  • Hands-on experience developing or deploying custom application servers, Retrieval-Augmented Generation (RAG) models and Model Context Protocols (MCP) servers
  • Deep understanding of LLM model integration and tuning
  • Experience monitoring and mitigating the specific operational costs associated with token usage and GPU compute utilization
  • Deep expertise in at least one major cloud ecosystem (AWS, Azure, OCI or GCP) and infrastructure provisioning
  • Experience with designing automation that reduces manual work in complex, multi-stakeholder environments
  • Experience with AMD Inference Microservice Platform (AIMS) or NVIDIA NIM a plus
  • Excellent communication skills and the ability to translate fluently between artists, production management, and engineers
  • Genuine passion for animation, storytelling, or creative productions

This position has been designated as fully remote, meaning that the position is expected to contribute from a non-DreamWorks worksite, most commonly an employee’s residence.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website.
Salary range: $155,000 - $190,000
As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing .
For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.
DreamWorks Animation is looking for more adventurous dreamers who shoot for the moon. We tell stories about the journeys our unconventional heroes take to make dreams come true. As a growth-minded studio, we pride ourselves on being one of the world's leading producers of high-quality, award-winning, animated films and series, reaching consumers around the globe. We push to feel more, laugh more, and build immersive new worlds.
DreamWorks creates a diverse array of original content in a variety of formats, delivering compelling stories with unique characters. We place tremendous value on the experiences our talent brings to the table from their own non-traditional paths to success. We believe in frequent communication and that transparency and trust yield the best work. We are a community of artists, technologists, innovators, and creators, who are passionate about animation and also happen to love eating lunch together.
DreamWorks Animation’s Studio Platform Engineering team builds the systems and infrastructure that enable our artists and technology teams to operate at scale. We own the Feature Animation platform, streamline software delivery through modern CI/CD practices, and lead the Studio’s observability ecosystem. You’ll play a key role in designing and evolving the next generation of resilient, cloud-native, AI-enabled platforms that drive innovation across the Studio.
We are seeking a Senior AI Software Engineer with a strong background in DevOps, Kubernetes infrastructure, and Python development to build, scale, and secure our AI infrastructure used for data workflows and management. In this role, you will bridge the gap between traditional infrastructure operations and advanced AI engineering. Instead of just consuming AI models, you will engineer the enterprise-grade ecosystem that hosts, monitors, scales, and protects our next generation of resilient, cloud-native, AI-enabled platforms that drive innovation across the Studio in an 'Artists First' methodology.
If you are part of the fandom and believe teamwork makes the dream work, join us in #livingthedream and #doingyourdreamwork!
Originally posted on Himalayas

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