Jobs at Amazon in Taiwan, Taipei

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities- Automate optical test plans and qualify optical modules.- Monitor module quality in the fleet and build mechanism to remediate large scale events and improve health of our linksA day in the life
About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Bachelor's degree or above in electrical engineering, computer engineering, or equivalent
- 7+ years of hands-on experience on optical system and network design
- 5+ years of experience with optical transceivers and IEEE standards
- 2+ years of experience developing test scripts for optics validation and characterization
- 3+ years of experience working with optical protocols and technologies

- PhD, or Master's degree and 3+ years of industry or academic research experience
- Expertise in hardware and systems design and development
- Experience with design and manufacturing of pluggable optics (i.e SFP, SFP+, QSFP, QSFP-DD, OSFP)
- Expertise in debugging and troubleshooting
- Experience working with ODM and CM suppliers of Optical Modules
- Significant experience in the product development lifecycle
- Proven track record of innovating or inventing network solutions to business problems

Key job responsibilities

- Bachelor's degree in computer science or equivalent
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- 2+ years of system design experience
- Experience programming with at least one software programming language

- Fluent in Java and python
- Has experience of machine learning model development
- Has experience of GenAI and Agent service development using LLM/VLM.

As a Hardware Development Engineer (Electrical Engineer), you will design, develop, and validate electrical systems for Ring devices and services. You will lead complex technical projects, mentor junior engineers, and collaborate with cross-functional teams to deliver innovative hardware solutions that delight our customers. You will also leverage AI tools and methodologies to enhance electrical design processes and outcomes.Key job responsibilities
- Design and develop analog and digital circuits for consumer electronics
- Create and review schematics and PCB layouts
- Develop power management solutions and power distribution networks
- Implement high-speed digital interfaces and ensure signal integrity
- Design for EMI/EMC compliance and conduct pre-compliance testing
- Develop electrical test plans and validation procedures
- Troubleshoot and resolve complex electrical issues- Document designs, test results, and technical specifications
- Evaluate new components and technologies for future products
- Manage relationships with external vendors and manufacturing partners
- Apply AI tools and techniques to optimize electrical designs and processes

- Bachelor's degree or above in electrical engineering, computer engineering, or equivalent
- 3+ years of experience in electrical design and development
- Proficiency with schematic capture and PCB layout tools (Altium, Cadence, or similar)
- Experience with analog and digital circuit design
- Knowledge of power management and power supply design
- Understanding of signal integrity and high-speed design principles
- Experience with hardware debugging tools (oscilloscopes, logic analyzers, spectrum analyzers)
- Strong problem-solving and analytical skills
- Basic understanding of AI concepts and applications in electrical engineering
- Experience using AI-assisted design tools for circuit optimization

- Master's degree in Electrical Engineering or a related field
- Experience with embedded systems and microcontroller programming
- Knowledge of wireless technologies (Wi-Fi, Bluetooth, cellular)
- Experience with FPGA design and implementation
- Familiarity with regulatory compliance requirements (FCC, CE)
- Experience with design for manufacturing and test (DFM/DFT)
- Track record of innovation and technical leadership
- Experience mentoring junior engineers
- Advanced knowledge of machine learning applications in electrical design optimization
- Experience implementing AI for automated test pattern generation or fault diagnosis
- Ability to collaborate with data scientists to develop custom AI solutions for electrical engineering problems
- Experience with AI-driven circuit simulation and optimization
- Knowledge of how to integrate sensor data with AI/ML models for electrical systems

Key job responsibilities
- Validating use cases and technical requirements
- Building architectures and demonstrating technical superiority
- Designing and delivering immersion days
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 6+ years of design, implementation, or consulting in applications and infrastructures experience
- 6+ years of infrastructure architecture, database architecture and networking experience

As an Device Software Development Engineer on the Kuiper Government Solutions (KGS) team, you will design and develop embedded software for Kuiper’s satellite and ground systems. You’ll work on fault-tolerant, real-time platforms, collaborating closely with hardware, systems, and product teams to deliver secure, reliable, and high-performance solutions.This role is based in Northridge, CA, or Redmond, WA, with U.S. relocation benefits. Onsite work is required 5 days a week.Key job responsibilities
• Design, develop, and optimize embedded software for Kuiper’s satellite and ground terminal systems, focusing on fault-tolerant, real-time platforms.
• Leverage modern application frameworks for Embedded Linux and RTOS platforms to develop scalable, modular, and high-performance software.
• Implement and integrate software for data processing, device control, and networking protocols (e.g., TCP/IP, UDP).
• Debug and resolve complex hardware-software integration issues using tools like logic analyzers and oscilloscopes.
• Collaborate with cross-functional teams to ensure seamless hardware-software interaction and system reliability.
• Mentor junior engineers, conduct design reviews, and uphold high software quality standards.This position requires that the candidate selected be a U.S. Citizen in order to comply with U.S. government-imposed requirements related to the nature of the work and/or where it will be performed.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- 2+ years of programming experience in C, C++, or Rust for resource-constrained systems
- Proficiency in debugging, optimization, and hardware-software system integration
- Proficiency in debugging, optimization, and hardware-software system integration
- Excellent written and verbal communication skills

- Bachelor's degree in computer science or equivalent
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Hands-on experience with Xilinx platforms, custom silicon development, cryptography, and secure Software Development Lifecycle (SDLC) practices
- In-depth knowledge of Linux kernel internals, including process scheduling, memory management, concurrency, synchronization, and networking subsystems
- Familiarity with networking protocols (e.g., TCP/IP, UDP) and low-level hardware interfaces such as I2C, SPI, and PCIe

We're seeking highly skilled and motivated Product Test Engineers to join our Machine Learning Acceleration team at Annapurna Labs. In this role, you'll be at the forefront of validating and ensuring the quality of our advanced ML hardware systems as they transition from development to large-scale deployment across AWS's vast server fleet. You'll be responsible for designing and implementing comprehensive system-level test strategies that cover the full spectrum of our ML acceleration products, from individual components to fully integrated systems. This position requires a unique blend of hardware knowledge, software expertise, and systems thinking, as you'll be working at the intersection of custom silicon, complex firmware, and high-performance ML workloads.
Key job responsibilities
* Design and implement system-level test strategies for ML acceleration products
* Develop comprehensive functional and performance tests for complete ML systems
* Create and maintain scalable test infrastructure for high-volume product validation
* Implement product bring-up and first-boot test procedures
* Drive improvements in test coverage, product quality, and manufacturing efficiency
* Collaborate with hardware and software teams to ensure end-to-end product validation
* Analyze system-level test data to identify and resolve integration issues
* Debug complex hardware/software interactions in a production environment
* Develop and maintain documentation for system test procedures and manufacturing processes
* Optimize test workflows to balance thoroughness with production efficiencyA day in the life
Why AWSWork/Life Balance
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
*Diverse Experiences*
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.*Work/Life Balance*
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.*Inclusive Team Culture*
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.*Mentorship and Career Growth*
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional."

* Bachelor's degree in Computer Engineering, Electrical Engineering, or related field
* 3+ years in system-level product testing
* Strong programming skills in Python, C/C++
* Experience with Linux-based systems and scripting
* Understanding of computer architecture and system-on-chip (SoC) designs

Preferred Qualifications:
* Experience working in high-volume manufacturing environments, particularly with ODM/CM partners
* Experience implementing and maintaining test solutions at scale
* Experience with ML/AI hardware systems and accelerators
* Familiarity with server and data center environments
* Knowledge of hardware/software co-design and validation techniques
* Experience with continuous integration and test automation frameworks
* Strong debugging and problem-solving skills at the system level
* Understanding of power management and thermal testing for high-performance systems
* Experience with performance profiling and optimization of ML workloads

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and troubleshooting support throughout project delivery- Collaborating with stakeholders to gather requirements and propose effective migration strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsA day in the life
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 2+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 2+ years experience with one of the following programming languages/technologies: Java, Python, Ruby, Node.js, C, or C++