苹果Senior Software Engineer, Cloud Services Engineering
任职要求
Minimum Qualifications Programming and API Expertise: Mastery of one or more programming languages (Python, Go or Java), with hands-on experience implementing industry standard design patterns and developing RESTful/gRPC APIs. Cloud Infrastructure Experience: Proven track record working with one or more major public cloud platforms and underlying infrastructure. Cloud Native Proficiency: Familiarity with modern cloud native application development practices, including Kubernetes orchestration and end-to-end CI/CD pipeline implementation, crossplane framework. Core Protocol Knowledge: Solid understanding of foundational network and security protocols, including DNS, HTTP/HTTPS and X509 certificate frameworks. Infrastructure as Code (IaC) Skills: Proficiency in at least one IaC solution, such as Terraform, Pulumi. Collaboration and Communication: Exceptional verbal and written communication skills, with the ability to build, nurture and su…
工作职责
In this hands-on, technically rigorous role, you will collaborate closely with cross functional customers to diagnose pain points, resolve complex technical issues, and deliver scalable, widely adopted cloud solutions. The ideal candidate brings a consistent track record of delivering large-scale, distributed and complex software deployments across multi-cloud environments, paired with deep technical acumen. You will own the full software development lifecycle—from end-to-end design and architecture to implementation, testing and deployment—showcasing expertise in building production-grade cloud infrastructure and applications. Cultivating and sustaining strong partnerships with diverse platform users and business stakeholders is critical to driving business success and aligning engineering deliverables with organizational priorities. Join our team of elite, dedicated engineers as we innovate in a dynamic, groundbreaking cloud services space that continuously evolves to support Apple’s global scale and excellence.
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.
• Lead code reviews to ensure adherence to engineering standards, test coverage, and secure coding practices. Provide feedback and mentorship to peers, and apply tools and patterns that enhance reliability, diagnosability, and maintainability. • Develop scalable and secure design proposals, collaborating across teams to resolve dependencies and validate design hypotheses. Ensure solutions meet performance, compliance, and cost expectations. • Create and maintain test plans that validate functionality and security. Leverage automation and AI tools to improve test reliability and coverage, and ensure testability is embedded in design. • Apply secure design principles and engineering best practices to build resilient systems. Drive automation in deployment, ensure compliance with global regulations, and integrate security monitoring and incident response mechanisms. • Translate product requirements into actionable plans, estimate effort, and guide execution. Ensure safe deployment practices, flighting strategies, and rollback plans are in place to support efficient and secure releases. • Integrate telemetry and observability into systems to monitor performance and security. Act as a Designated Responsible Individual (DRI), lead incident response efforts, and continuously improve live site operations and support documentation. • Collaborate with stakeholders to understand user needs and incorporate feedback into product design. Ensure privacy and security requirements are met, and establish feedback loops to measure impact and value.
• Lead on IC3 fundamental initiatives including but not limited to SDP, resiliency, and architectural movements. • Provide technical guidance and expertise to the development team, driving the overall software design and implementation of complex, large-scale software solutions. • Research and evaluate emerging technologies, tools, and methodologies, making recommendations for adoption and integration into existing systems and processes. • Communicate effectively with both technical and non-technical stakeholders, presenting complex technical concepts in a clear and concise manner. • Drive to make tough technical decisions in face of great ambiguity to unblock team with clear course of action. • Model Microsoft core values and culture of Growth Mindset, Diversity & Inclusion and One Microsoft.