דרושים Wifi Test Engineer Eero ב-אמזון ב-Taiwan, Taipei, 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

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

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.What you will do: As a member of the AWS Board Core Design & Services team based in Taiwan, you will own the sustaining engineering efforts and NPI validation supervision for server components at ODM partners. You will be responsible for hardware validation, quality management, and technical issue resolution during mass production. You will collaborate with ODM teams to ensure smooth transition from NPI to mass production, while maintaining AWS's high standards for quality and reliability. You'll provide leadership in production validation processes and work closely with US-based design teams to implement design improvements. This role requires strong technical expertise combined with excellent project management skills to coordinate between AWS internal teams and ODM partners.
Why it matters: Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS creates a unique opportunity for differentiated hardware that will directly benefit customers.Why you will love it: You will build next-generation hardware that powers the cloud. You will deliver improvements for our customers and have a direct impact on our bottom line. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work.A day in the life
Hardware engineers within the AWS Board Core Design & Services team in Taiwan focus on sustaining engineering and NPI validation activities, including: managing ODM validation processes, reviewing test coverage and results, conducting failure analysis, driving corrective actions, and ensuring smooth mass production. You will coordinate between US-based design teams and local ODM partners, review production test data, optimize manufacturing processes, and implement continuous improvement initiatives. The role requires balancing technical depth with project management skills to ensure AWS hardware quality standards are maintained throughout the product lifecycle.
About the team
*Why AWS*
*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*
*Inclusive Team Culture*
*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.

* BS Electrical/Computer Engineering (or equivalent experience)
* 7+ years of experience in hardware validation and sustaining engineering
* 7+ years of experience working with ODM partners in Asia
* 7+ years of experience in test development and validation processes
* 7+ years of experience in failure analysis and debug of complex hardware issues
* 7+ years of experience in manufacturing test development and optimization
* Fluent in English and Mandarin Chinese (written and verbal)

* Master's degree in electrical engineering, computer engineering, or equivalent
* 10+ years of experience in server validation and sustaining engineering
* Strong expertise in hardware validation methodologies and manufacturing processes
* Experience in managing ODM relationships and driving technical programs
* Experience with server technologies including power, thermal, mechanical, BIOS, BMC
* Strong project management and cross-cultural communication skills
* Experience in production yield analysis and improvement
* Knowledge of industry standard quality tools and methodologies (6-sigma, 8D, etc.)
* Experience in developing and implementing validation test plans
* Experience in managing concurrent engineering projects with multiple ODM partners
* Ability to work independently and lead technical discussions with ODM partners
* Experience in component quality management and supplier quality engineering
* Meets/exceeds Amazon's leadership principles requirements for this role
* Meets/exceeds Amazon's functional/technical depth and complexity for this role

Key job responsibilities

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master or PhD degrees in Computer Science , Machine learning, or other related areas
- Experience in shipping large-scale cloud backend systems to real-world products
- 3+ years' experience in designing and developing machine learning production software.
- Has experience of GenAI and Agent service development using LLM/VLM.

- 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software

- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience