דרושים ב-Microsoft ב-Taiwan, Taoyuan City

As a Software Engineering PhD Intern, you will work with teammates to solve problems and build innovative software solutions. You will apply your passion for customers and product quality as you provide technical guidance to Technical Program Managers and Product Managers. You will learn and adopt relevant new technologies, tools, methods, and processes to leverage in your solutions. This opportunity will enable you to advance your career by designing, developing, and testing next-generation software that will empower every person and organization on the planet to achieve more.

Required Qualifications

• Pursuing a PhD in Computer Science, Engineering, or related field during the academic term immediately before the internship.

• Must have at least 1 semester/term remaining following the completion of the internship.

• At least one year of programming experience in an object-oriented language.

Preferred Qualifications

• Ability to demonstrate an understanding of computer science fundamentals, including data structures and algorithms.
• Academic/research experience with distributed systems, network architecture, operating systems, and/or related topics.

The base pay range for this internship is USD $5610.00 - $11010.00 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $7270.00 - $12030.00 per month.

• Applies engineering principles to solve complex problems through sound and creative engineering.

• Works with appropriate stakeholders to determine user requirements for a feature.

• Quickly learns new engineering methods and incorporates them into work processes.

• Seeks feedback and applies internal or industry best practices to improve technical solutions.

• Demonstrates skill in time management and completing software projects in a cooperative team environment.

• Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

As a Channel Disti Leader, you are at the leading front of partner performance in your area! You will bring your tenacious work ethic, your enthusiasm, optimism, and your passion to foster profound growth and change within our channel partner ecosystem. You will leverage your challenger mindset, deep technology industry knowledge, market insights, expert understanding of the competitive landscape, executive presence and best in class interpersonal abilities to grow our robust ecosystem of world class channel partners.

You will deliver the Disti Partner sales strategy and will sponsor executive connections, drive business performance, and maximize partner investments in your area. You will institute a predictable rhythm with partners and key stakeholders to drive sales execution. This opportunity will allow you to accelerate your career growth as you work deeply with highly complex partner organizations building strong relationships in the C-Suite.

• Demonstrated experience in Disti management, sales, business development, or partner channel development in the technology industry or related experience
• Experience supporting the overall strategy and execution of partner performance and sales results for the sales unit, with accountability for FRA, forecast integrity, and translating quantitative and qualitative insights into strategic priorities and plans.
• Leverage market insights and intelligence to continuously assess customer TAM opportunity, competitive dynamics, and risks, and to design targeted proposals to address emerging opportunities and challenges.
• Demonstrate strength engaging senior leaders in the partners’ organization to influence business outcomes, drive alignment on strategy, joint commitments, and priorities as captured in the partner business plan, ensuring mutual accountability for Metrics that Matter, KPIs, and growth execution.
• Proven capability supporting high performing sales teams, implementing a collaborative operating model with Regional OU leaders and their teams, fostering transparent, high-bandwidth engagement to maximize opportunities and insights and role modeling One Microsoft behaviors across the region.

• Accountable for the overall strategy and execution of the Disti performance and sales results for operating unit.
• Deliver sales unit FRA including forecast integrity throughout the FY; evaluate quantitative and qualitative metrics and translate those metrics/results into strategic priorities and plans.
• Continuously assess customer TAM opportunity, competitive dynamics, market insights and intelligence in the design of proposals to address opportunities, challenges and risks.
• Engage CxO leaders as well as partner country managers across the partner ecosystem to drive alignment on strategy, joint commitments and priorities (as documented in the Partner Business Plan) and overall rhythm of the business to ensure mutual commitment and delivery on the Metrics that Matter, KPIs and execution of priorities that deliver growth.
• Execute the Disti plan in the operating unit with consistency; align to overall Top CSP strategy and guidance. Execute the Top SSP plan for the globally and locally managed partners in the operating unit.
• Build a consistent strategy, execution and co-sell plan for all local partners, leveraging the Metrics that Matter, sharing best practices with peers in other sales units. Build a predictable engagement model with in-region partners based on alignment on the PBP, KPIs and strategic priorities, and shared business outcomes.
• Implement a collaborative operating model with the Regional OU leaders and their teams as well as shared services (Tech Team, Partner Marketing Manager, Partner Solution Sales). Create a transparent engagement model between the organizations to ensure the business is maximizing opportunity and insights across the region to deliver optimal results and role model One Microsoft behavior.

and multi-disciplinary group of scientists,

Principal Data & Applied Scienwork ongroundbreaking andhigh-impact projects at the intersection of AI and software engineering. In this role, you will drive the development and application of advanced data science techniques—especially those involving LLMs—to real-world developer workflows.. You will have the opportunity to design and lead experiments, build and evaluatemodels (including RAG pipelinesand evaluation frameworks), andinsights into scalable product features. Most importantly,play a key role in bridging

Required/Minimum Qualifications:

• degree in Computer Science, Engineering, Mathematics, Statistics

• +yearsexperiencewith strongproficiencyinPython, machine learning frameworks,and experience developing and deploying generative AI or machine learning models into production. (Experience withadditionalprogramming languages is a plus but notrequired

Preferred Qualifications

• or PhD degree in Computer Science, Statistics, or related fields (undergraduates with significantappropriate experiencewill be considered).

• Strong professional experience in statistics, machine learning, including deep learning, NLP, econometrics.

• Experience in building cloud-scale systems and experience working with open-source stacks for data processing and data science is desirable.

• Experience with LLMs in natural language, AI for code or related fields

• Excellent communication skills, ability to present andwritereports, strongteamworkand collaboration skills.

• Experience in productizing AI and collaborating with multidisciplinary teams.

• researchand productization ofstate-of-the-art in AI for Software Engineering

• Build and manage large-scale AI experiments and models.

• Drive experimentation through A/B testing and offline validation to evaluate model performance.

• and geographieswith product teamsinMicrosoft and Github

• Stay up to date with the research literature and product advances in AI for software engineering

• Collaborate with world renowned experts in programming tools and developer tools to integrate AI across software development stack for Copilot

• Lead others by exemplifying growth mindset, inclusiveness, teamwork, and customer obsession

Minimum Experience

• 5+ years technical pre-sales or technical consulting experience AND Bachelor's Degree in Computer Science, Information Technology Additional

  • or preferred qualifications 4+ years experience with cloud and hybrid

  • or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management Certification in relevant technologies or disciplines (Azure Architect and Development exams, Cloud Platform Technologies, Architecture).

• Drive technical sales conversations with business and technical decision makers, using demos and proof-of-concepts to shape solution design and accelerate production deployments.
• Lead hands-on engagements such as hackathons, code-with sessions, and architecture workshops to fast-track adoption of Microsoft developer tools and cloud platforms.
• Build trusted relationships with developers and platform leaders, co-designing secure, scalable, and innovative architectures.
• Resolve technical blockers and objections, working closely with engineering teams to provide feedback and influence product improvements.
• Develop and maintain expertise in AI Foundry and AI application architecture, including Agentic AI frameworks, Semantic Kernel, Foundry SDK, and Responsible AI.
• Grow skills in cloud-native development, including APIs, containerization, microservices, event-driven systems, and programming in Python, Java, or .NET.
• Expand knowledge in AI management and security, including GenAI Ops, Sentinel, orchestration, and monitoring.
• Represent Microsoft as a thought leader in developer communities and customer forums.

Required/Minimum Qualifications:

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field AND 6+ years of experience in cloud/infrastructure technologies, software development/support, analytics/BI system development, or artificial intelligence (AI).

• Deep understanding of Cloud Infrastructure, Cloud Native solutions, containerization, and Dev sec ops.

• Familiarity with at least one development language (e.g., Python, Java, Go, C#, JavaScript, Scala).

• Problem Solving. Ability to solve customer problems through cloud technologies required

• 6+ years of experience in customer-facing IT project delivery.

Additional or Preferred Qualifications:

• Master’s degree in computer science, Information Technology, Engineering, or a related field AND 6+ years of experience in cloud/infrastructure technologies, software development/support, analytics/BI system development, or artificial intelligence (AI).

• Proficiency in multiple development languages (e.g., Python, Java, Go, C#, JavaScript, Scala).

• 8+ years of experience in customer-facing IT project delivery.

• 8+ years of experience leading technical projects.

• Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google Cloud, Alibaba Cloud, Tencent Cloud, security certifications).

Essential Skills:

• OpenAI/AI, Llama, Deepseek, Copilot including Github Copilot and Studio, and Cognitive services
• Microservices and containerization with Azure Kubernetes Services
• Advanced Analytics (Azure Synapse, Databricks, visualization tools such as PowerBI, Tableau, QuickBI)
• NoSQL Databases including OSS (Cassandra, Mongo, HBase, etc.), Cosmos DB

• Understand customers’ overall data estate, IT and business priorities and success measures to design implementation AI based architectures and solutions.

• Consumption (Cloud & Support) growth - Develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments.

• Apply technical knowledge to architect solutions that meet business and IT needs, be advisor for customer’s Azure AI Platform strategy, applications modernization through microservices on Azure Kubernetes services, AA/AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies where appropriate (e.g. Azure ML, Azure AI Services including AI Search, Azure OpenAI, Copilot including Github Copilot and Studio, Cognitive Services, Spark, Data Lake, Azure Synapse, etc.)

• Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability and reliability upon deployment.

• Be a Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers. Deliver according to MS best practices & using repeatable Intellectual Property (IP) and Value Based Delivery (VBD).

• Assess the Customers' knowledge of Azure platform and overall cloud readiness to support customers through a structured learning plan and ensure its delivery through partners.

• Collaborate with other Solution Engineers and other Cloud Solution Architects in developing complex end-to-end Enterprise solutions on Microsoft Azure platform.

• Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the technical community while educate customers on Azure platform.

• Be an Azure Platform evangelist with customers, partners and external communities.