【内推】【社招】【微软】

微软北京、苏州、上海 强力内推，大量HC，有发必回，HC很多

简历发送地址：luwei#microsoft.com （把#换成@)

邮件标题：微软内推+地点+岗位+姓名+电话+Singularity
邮件标题：微软内推+地点+岗位+姓名+电话+Singularity

邮件附件：简历附件，中英文都可，如果有英文简历更好

面试基本流程：HR聊 + 1轮电话技术面试（Phone Screen) + 4/5轮现场技术面试 (On-Site)


Azure Singularity team is looking for passionate engineers to operate and re-invent the largest deep-learning infrastructure service at Microsoft.  In this role you will be tasked with building new components to bring the latest innovations in AI Infrastructure onto the Singularity Kubernetes platform, while maintaining service SLA in its current implementation and deeply engage with customers to help them transition to the new platform.


You will partner with top engineering talent within Singularity and across Azure to put together Kubernetes based cluster orchestration, to provide operating system and containerization support, to enable AI languages and run-times, and other aspects necessary to bring distributed deep learning training and inferencing to life.  In addition, you will build infrastructure components required to build, deploy, monitor and service highly available and scalable Kubernetes (K8) clusters under your care.  You will lead development and customer support from the frontline and establish architecture, service excellence guidelines and a high-quality bar.


Candidates must have a track record for delivering engineering and service excellence on a mid to large scale service.

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Who We Are
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We are the engineers on Singularity. We believe that building a planet-scale AI Supercomputer from the ground-up which addresses the fundamental pain-points of data scientists and AI practitioners and takes AI to the unprecedented scale is an opportunity of a lifetime. If you share the same dream as us, come join us!

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What Is Singularity?
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High scale AI workloads are always testing the limits of the infrastructure stack. Large-scale model training and inferencing with huge data volumes of training data on hundreds-thousands of GPUs make it a true engineering challenge. Singularity is a globally distributed, multi-tenant service that provides robust, cost-effective and competitive AI infrastructure (compute, networking and storage) for AI training and inferencing. By abstracting workloads from underlying infrastructure, Singularity creates a shared pool of resources that can be dynamically provisioned for full utilization of expensive GPU compute, and enabling data scientists to productively build, scale, experiment, and iterate their models on top of a robust, performant, scalable and cost-effective distributed infrastructure built for AI. In Singularity, we are constantly seeking to apply the best ideas from AI, ML, distributed systems, distributed databases, machine learning, information retrieval, networking, and security.

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Responsibilities
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Deliver a robust container orchestration platform for Singularity on Kubernetes.
Deliver node management, fault detection and node repair as a service to improve job/model reliability.
Build change management systems that orchestrate and automatically ensure the safety and correctness of any change made to the production system.
Deliver world-class monitoring systems and telemetry pipelines to enhance service and job observability for both end-users and operators.
Codify security and compliance requirements by building and strengthening system defenses against malicious attacks and exploits.
Use data-driven and machine learning approaches to build quality and operational insights; leverage insights to drive quality and operational excellence across pre and post production pipelines.
Design and implement performance and scalability infrastructure that focuses on methodically calibrating data at scale to ensure meaningful characterizations and comparisons.
Leverage performance and profiling tools to identify hot spots and bottlenecks across hardware and software boundaries: from CPU, GPU, microcode, OS, networking to product code and drive end-to-end job performance.

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Qualifications
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Required Qualifications:

3+ years of experience with coding in one of Python, C#, Java, C or C++.
Experience working with the Linux operation system and Kubernetes cluster orchestration.
Experience with improving service operations or engineering fundamentals.
Excellent collaboration skills.
A Master’s degree (or Bachelor’s degree with 3+ years of work experience equivalent) in computer science or a related field.
At least 3 years of experience building and shipping production software or services.


Preferred Qualifications:

Experience in development in the Kubernetes ecosystem
Experience in using / extending PyTorch / TensorFlow
Experience in building large scale cloud services, distributed systems, or operating systems
Experience programming GPUs (graphics processing units), CUDA/cuDNN/NCCL
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check. This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.



Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.


Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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