דרושים Senior Software Engineer Quantum Chemistry - Ai Science ב-Microsoft ב-Taiwan, Taoyuan City

Microsoft Member Technical Staff - Platform Engineer Taiwan, Taoyuan City

Limitless High-tech career opportunities - Expoint

שיתוף

Build secure and performant AI Platform services that power Copilot.
Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services.
Ship high-quality, well-tested, secure, and maintainable code.
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
Enjoy working in a fast-paced, design-driven, product development cycle.
Embody our and .

Required Qualifications

Bachelor’s degree in computer science, or related technical discipline AND technical engineering experience building web applications with coding in languages including, but not limited to, Python, Golang, C# OR equivalent experience.
Experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.

Preferred Qualifications

Experience working with AI platforms, frameworks, and APIs.
Experience using Machine Learning frameworks, including experience using, deploying, and scaling multimodal models, either personally or professionally.
Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

משרות נוספות שיכולות לעניין אותך

Microsoft Member Technical Staff – Platform Engineer Taiwan, Taoyuan City

Microsoft Member Technical Staff Platform Engineer Taiwan, Taoyuan City

Microsoft Software Engineer PhD Intern Opportunities Redmond Taiwan, Taoyuan City

שיתוף

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.

Microsoft Cloud AI Solution Engineer Applications - Sydney Taiwan, Taoyuan City

שיתוף

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.

Microsoft Member Technical Staff AI Data Taiwan, Taoyuan City

שיתוף

We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. In particular, we are looking for candidates who:

Are passionate about the role of data in large-scale AI model training
Will thrive in a highly collaborative, fast-paced environment
Have a high degree of craftsmanship and pay close attention to details
Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies
Effectively manage multiple responsibilities and can adjust to shifting priorities.

Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video).
Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models.
Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation.
Collaborate with the product team and other engineers and researchers across Microsoft AI to identify gaps in the current generation of models.
Embody our and .

Required/Minimum Qualifications

Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work
OR equivalent experience.
Expertise in large scale data engineering ideally applied to AI
Expertise in Spark, Kubernetes or similar.

Microsoft Solution Architect Cloud & AI Platform - Apps Taiwan, Taoyuan City

שיתוף

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.

Microsoft Senior Cloud Solution Architect - Copilot Adoption Taiwan, Taoyuan City

שיתוף

Your focus will be to lead the

Qualifications

Bachelor’s degree in Computer Science, Engineering or related field or equivalent work experience
Substantial experience in Change Management and Adoption.
Deep understanding of Microsoft 365, Azure AI, and Copilot technologies.
Strong communication and stakeholder management skills, with the ability to influence at all levels.
Passion for innovation, customer success and continuous learning.
Fluent in English; Dutch or French is a plus.

Some of your responsibilities include:

Be a trusted advisor and drive business value through AI Transformation : Create business value by translating customer challenges into actionable solutions aligned to high ROI customer outcomes. Ensure a seamless, connected experience that fosters satisfaction, loyalty, and long-term value.
Lead Adoption Strategy : Design and execute tailored adoption and change management plans that align with customer business objectives and Microsoft’s AI vision.
Drive Organizational Change : Guide customers through the cultural and operational shifts required to embed Copilot into daily workflows.
Champion Business Value : Translate technical capabilities into measurable business outcomes, using ROI models, usage analytics and success metrics.
Enable Stakeholders : Engage executive sponsors, change agents and champions to build momentum and sustain adoption across departments.
Deliver Readiness & Training : Facilitate workshops, onboarding sessions, and enablement programs to upskill users and ensure Copilot readiness.
Collaborate Across Teams : Partner with sales, engineering, and partners to ensure seamless delivery and customer success.
Contribute to IP & Scale : Help build reusable assets, playbooks, and best practices to scale adoption efforts across regions.
Embrace a growth mindset: Act as the voice of the customer by proactively sharing insights, feedback and success stories to inform internal strategy and execution.
Learn-it-all:

Microsoft Senior Talent Sourcer Market Intelligence Taiwan, Taoyuan City

שיתוף

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until October 17, 2025.

The candidate will leverage external and internal data to identify talent pools, assess market feasibility, and uncover competitive trends. You will design and implement sourcing strategies that go beyond traditional methods—using intelligence to anticipate and track talent movement, research competitors and industry trends, and optimize our location strategies.

Required/minimum qualifications

Bachelor's Degree AND 6+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role
- OR equivalent experience.
4+ years of talent and market intelligence experience

Additional or preferred qualifications

Bachelor's Degree AND 12+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role
- OR Master's Degree AND 8+ years talent acquisition experience (e.g., recruiting, sourcing), HR experience, or industry experience related to role
- OR equivalent experience.
4+ years of market research to map and track talent, key competitors, and industry trends.
4+ years of documenting and delivering actionable insights of market research to formulate a differential sourcing strategy.

Candidate Assessment & Screening

Drives the adoption of the candidate assessment framework and identifies, adopts, and evangelizes best practices that ensure high-quality hires. Ensures adoption and best practices and scalability. Identifies opportunities for process improvement.

Manages candidate screening framework, and identifies, adopts, and evangelizes best practices that ensure effective, inclusive screening processes and a qualified talent pool. Executes initial screening and assessing of candidates. Influences inclusive selection decisions, and consumption of diverse talent.

Candidate Attraction

Uses deep knowledge of market opportunities to differentiate Microsoft’s unique career possibilities, advantages, and rewards and leverage a consistent, compelling message that conveys the most significant motivators to prospective candidates. Works with talent marketing to create compelling on-brand attraction campaigns. Works with hiring managers to develop a compelling, consistent message on the Microsoft story and the opportunity it represents to prospective talent. Demonstrates ability to identify and present talent to the business as aligned to both the hiring needs and candidates aspirations.

Shares proven methodologies and partnerships that help others across the discipline to source, recruit, and/or close candidates. Analyzes the quality of the output associated candidate activity using systems and tools and shares with internal stakeholders. Helps develop learning and training resources for others teams in Global Talent Acquisition (GTA) to help advance outcomes and capabilities.

Coaches the client to represent Microsoft’s unique career possibilities, advantages, and rewards that are distinct from those of competitors. Identifies competitive techniques and advantages within our scope for hiring and consults with the business to develop employer value proposition (EVP). Delivers differentiated pitch and provides opportunities to learn how to deliver pitch to candidates based on their unique motivators and knowledge of the Microsoft deal (e.g., compensation, benefits, perks, career development).

Candidate Experience

Gathers requirements and develops hiring plans that meet candidate needs throughout the hiring lifecycle, often for critical, complex, high level or high volume candidate searches. Owns the candidate experience and prepares candidates for next phases of the process. Enhances the candidate experience at all stages of the process by proactively identifying factors that may impact the candidate and partnering with hiring managers/business leaders to develop appropriate acquisition or mitigation strategies. Ensures operational excellence by managing candidates through the application tracking system (ATS).

Data Analysis & Hiring Plans

Reviews and analyzes business and market data and trends to improve performance, and uses insights to support across teams. Connects data to cross-organization goals and leads conversations across groups to address broad hiring issues and opportunities. Leads the implementation of a hiring plan that addresses business demand, priorities and availability of talent for a division’s, set of countries, or subsidiary’s short-term and long-term needs (12 months and beyond).

Market Analysis and Channel Insights

Performs deep analysis of external market data leveraging industry/market expertise, providing market and channel insights to the business to recommend and drive strategies and talent acquisition initiatives.

Operational Compliance & Excellence

Maintains current documentation/information on candidates’ qualifications and status in the appropriate staffing or tracking system, within compliance guidelines (e.g., Office of Federal Compliance Programs, General Data Protection Regulation). Captures relevant data in recruiting platform and leverages data to inform meaningful insights.

Leads the adherence to and optimization of staffing policies, systems, and processes throughout their stakeholder community, and guides stakeholders on the impact of non-compliance.

Stakeholder/ Client Engagement

Consults a division, region, or subsidiary on critical talent needs and opportunities. Presents and frames information in a way that speaks to the business priorities and influences leaders to embrace and consume differentiated and alternative types of talent (e.g., compete, diverse, nontraditional, unconsumed or runner-up candidates from previous searches) that may not be typically considered. Uses enhanced experience of creative methods to create/consume differentiated and alternative talent pools.

Uses data and metrics, and an understanding of business priorities to advise on talent acquisition strategy across one or more a business group, industry solution area, or subsidiary on the implications of talent gaps. Consults with leaders to understand demand plan and may identify work and resource allocation.

Applies deep knowledge and consultative skills relevant to the business and hiring managers' needs (e.g., time to hire, location, budget, inclusivity) and uses this knowledge to manage the execution of end-to-end hiring plans aligned to the needs of the business group, division, region, or subsidiary. Engages with senior-level stakeholders to develop hiring plans.

Stakeholder/Client Engagement

Identifies current and future talent needs through proactive exploration and analysis of market supply. Proactively consults leaders to provide clarity of talent market insights.

Brings critical or high level candidates/niche hard to find talent through the interview and closing process, ensuring candidate needs (e.g., onboarding, relocation, Visas, critical dependencies) are met. Closes candidates by anticipating and responding to objections from the business while maintaining fiscal responsibility. Negotiates appropriately with the client/stakeholder to drive solutions that balance their short- and long-term talent needs, with an understanding of the business opportunities that may exist. Identifies bias in the interview and closing process and ensures the right discussions are being had around this (e.g., calling out, educating, providing alternatives).

Talent Sourcing

Leverages long-term relationships with talent pools and communities across the industry. Develops a comprehensive approach that integrates multiple concepts (e.g. talent community building and engagement, business/market intelligence) to create an innovative sourcing strategy for a division, set of countries, or subsidiaries. Creates and presents effective reports to the business that provides key insights and market intelligence that help form effective sourcing strategies.
Regularly scopes the market for changes, trends, and opportunities to incorporate into planning.

Develops and implements multi-channel pipeline strategies to meet hiring demand targets for differentiated talent for a division, set of countries, or subsidiaries. Develops pipeline strategy best practices and continues to research and design new methods to advance the Sourcing function and meet the evolving changes in the market.

Workforce Analysis

Assesses and defines talent/diversity gaps and hiring needs (e.g., skills, volume of hires) of a large-scale or complex/multi-discipline/multi-org. Presents this information to hiring managers and/or business leadership team, recommending and driving hiring plans and strategies to meet needs.

mbody our

MicrosoftMember Technical Staff - Platform Engineer

1 2 3 4 5 6

Taiwan, Taoyuan City

553539992

16.10.2025

שיתוף

תיאור:

Responsibilities

Build secure and performant AI Platform services that power Copilot.
Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services.
Ship high-quality, well-tested, secure, and maintainable code.
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
Enjoy working in a fast-paced, design-driven, product development cycle.
Embody our and .

Required Qualifications

Bachelor’s degree in computer science, or related technical discipline AND technical engineering experience building web applications with coding in languages including, but not limited to, Python, Golang, C# OR equivalent experience.
Experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.

Preferred Qualifications

Experience working with AI platforms, frameworks, and APIs.
Experience using Machine Learning frameworks, including experience using, deploying, and scaling multimodal models, either personally or professionally.
Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

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