苹果Software Engineer, Cloud Services Engineering
任职要求
Minimum Qualifications • Expertise in one or more programming language(Java or Go) with deep experience with multiple design patterns & RESTful apis - Java or Go • Strong experience in one or more public clouds and infrastructure • Experience with CI/CD tools and techniques, containers, Kubernetes • Experience with AuthN and AuthZ technologies and protocols, including IAM and SSO • Excellent communications skills and ability to establish a…
工作职责
You will partner with developers, system and site reliability engineers and customers to understand their challenges, work through their issues and provide solutions that can be embraced widely. The ideal candidate is someone with a consistent track record, deep technical knowledge and skills in delivering large scale ,distributed complex software solutions deployed on multiple cloud platforms. This is a highly technical, hands-on role that requires a wide and deep experience in leading infrastructure and applications. The successful candidate will design and implement complete product demonstrating expertise in entire software development lifecycle. Building and maintaining relationships with diverse sets of customers that use the platform will be critical to ensure the business units are successful. We are a team of highly skilled and hardworking engineers working on this groundbreaking and constantly evolving space.
Joining NVIDIA's DGX Cloud Team means contributing to the infrastructure that powers our innovative AI research. This team focuses on optimizing efficiency and resiliency of AI workloads, as well as developing scalable AI and Data infrastructure tools and services. Our objective is to deliver a stable, scalable environment for AI researchers, providing them with the necessary resources and scale to foster innovation. We are seeking an AI infrastructure software engineer to join our team. You'll be instrumental in designing, building, and maintaining AI infrastructure that enable large-scale AI training and inferencing. The responsibilities include implementing software and systems engineering practices to ensure high efficiency and availability of AI systems.As a senior DGX Cloud AI Infrastructure software engineer at NVIDIA, you will have the opportunity to work on innovative technologies that power the future of AI and data science, and be part of a dynamic and supportive team that values learning and growth. The role provides the autonomy to work on meaningful projects with the support and mentorship needed to succeed, and contributes to a culture of blameless postmortems, iterative improvement, and risk-taking. If you are seeking an exciting and rewarding career that makes a difference, we invite you to apply now! What you’ll be doing: • Develop infrastructure software and tools for large-scale AI, LLM, and GenAI infrastructure. • Develop and optimize tools to improve infrastructure efficiency and resiliency. • Root cause and analyze and triage failures from the application level to the hardware level • Enhance infrastructure and products underpinning NVIDIA's AI platforms. • Co-design and implement APIs for integration with NVIDIA's resiliency stacks. • Define meaningful and actionable reliability metrics to track and improve system and service reliability. • Skilled in problem-solving, root cause analysis, and optimization.
• Work with the DGX Cloud Lepton Marketplace team to establish integrations with NVIDIA Cloud Partners, enabling global developers to easily access GPU-optimized virtual machines. • You will craft and implement IaaS API integrations, collaborating with external engineering teams to ensure reliable, scalable, and consistent connectivity across diverse cloud environments. • Shape integration strategies, develop stateful workflow orchestration, and drive improvements in testing, observability, and automation to ensure high-quality, fault-tolerant solutions. • Be responsible for developing the two-sided marketplace, including the integration of compute providers and crafting discovery and bidding experiences to match supply with demand.
1. 负责国际业务相关软件系统的设计、开发与维护工作，依据业务需求进行技术方案选型与架构设计，确保系统的高可用性、可扩展性与安全性； 2. 参与核心业务模块的代码实现与性能优化，通过技术手段解决复杂业务场景下的技术挑战，保障系统稳定高效运行； 3. 跟踪并研究业界前沿技术趋势，推动技术创新在业务场景中的落地应用，持续提升产品技术竞争力； 4. 与产品、测试及跨区域团队紧密协作，确保项目高质量交付，支持国际业务快速迭代与规模化发展； 5. 参与技术规范制定与代码评审，协助团队提升开发质量与工程效能，推动团队技术氛围建设； 6. 负责相关技术文档的撰写与知识沉淀，促进团队内部经验共享与技术传承； 7. 日常在英国伦敦办公室工作。
• Design, build, and maintain scalable compute pipelines for A/B scorecard calculation, supporting both first-party and future third-party customers. • Develop and optimize distributed systems for high-performance experimentation infrastructure. • Implement and tune big data technologies (e.g., Hadoop, Spark) to ensure efficient processing of large-scale experiment data. • Collaborate with engineers, product managers, and stakeholders to define requirements and deliver impactful experimentation solutions. • Apply A/B testing methodology to drive data-driven decision-making across Microsoft. • Monitor, troubleshoot, and improve the reliability and performance of experimentation pipelines. • Contribute to a culture of innovation, continuous learning, and knowledge sharing within the team.