Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Key job responsibilitiesKey job responsibilitiesRTL Design and development of custom blocks. Integration of large subsystemsGate Level Simulation: Develop and maintain comprehensive gate-level simulation test plans for verifying ASIC functionality and timing. Analyze simulation results, identify and debug logic errors, and propose solutions. Work closely with design and verification engineers to validate fixes and ensure design closure.Facilitate seamless integration across Firmware, RTL, Platform Software, and Platform Drivers.Develop Debug tools: RTL Emulation, silicon bring-up, and functional validation.In this role you will:· Work closely with the system architects to develop world-class SOC and IP blocks, which meet power, area and performance targets.· Define, configure and integration SoC Subsystems· Contribute to the SoC floor planning effort· Define and develop any necessary support logic· Configure, instantiate and integrate 3rd party IP blocks· Understand low power design & the impact of DFT on the blocks· Perform initial synthesis & timing analysis· Assist verification team in unit verification including test plan development· Assist with debug and bring-upA day in the lifeBe part of Project Kuiper’s sub-team responsible for defining and implementing the digital chip SOCs for communications via Low Earth Orbit satellites and Amazon gateways. This is a unique opportunity to define a groundbreaking wireless solution with few legacy constraints. The team works with customer requirements and wireless system teams to define modems, high-speed interfaces, embedded processors, and DSP solutions in latest CMOS generation technologies.BASIC QUALIFICATIONS- 8+ years of non-internship professional software development experience- 8+ years of programming with at least one software programming language experience -- 8+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- 8+ years of digital design experience, preferably in SoC design and implementation- Fixed point RTL design- Filter design (FIR/IIR)- DSP designPREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Modem wireless or OFDM experience- Master's degree in computer science or equivalentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

In this role you will be responsible for leading a technical team which is critical in providing compute sanitization to the Neuron ML accelerators fleet. You will work closely with the hardware and software teams to ensure the right tools are available for identifying defects or faulty states of the hardware before the customer hits an issue. Neuron Compute Sanitizer Tools develops and maintains a pre-check and functional correctness checking suite and provides visibility at the fleet level to understand the trends of hardware/software sanitization.Key job responsibilities* Provide technical leadership to the Compute Sanitization team* Work closely with the hardware and firmware design teams.* Collect requirements from various other teams including training, inference and runtime.* Collaborate with the runtime team to ensure timely release of the pre-check tools.* Anticipate future needs based on the product roadmap and develop necessary tools to sanitize compute.About the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS 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.Inclusive Team CultureHere 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 conferences, inspire us to never stop embracing our uniqueness. Work/Life BalanceWe 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.Mentorship & Career GrowthWe’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.About Amazon Annapurna Labs:Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances.About AWS Utility Computing (UC):AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.About AWS Neuron:AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it’s all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more.BASIC QUALIFICATIONS- 10+ years of engineering experience- 10+ years of planning, designing, developing and delivering consumer software experience- Experience partnering with product or program management teams- Experience as a tech lead of a large group of engineersPREFERRED QUALIFICATIONS- Experience designing and developing large scale, high-traffic applications- Experience with ML hardware/SoftwareAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Come work on Amazon Web Services (AWS) EC2 Networking and Outpost hardware team. We are a start-up like team within a big enterprise. This allows us to take risk and experiment, allow team members to flex their technical muscles and grow in their respective careers, and an unique opportunity to be part of the product's growth story. Are you interested in building high performant hardware used to run the largest cloud computing infrastructures in the world, and managing systems at scale If yes, come join us.Key job responsibilitiesYou will be part of a team that solves systemic issues, drives changes back into development and builds mechanisms to scale and efficiently operate our infrastructure at the Edge and Data Center. As a member of the AWS Hardware team, you will work with other subject matter experts in compute, memory, storage technologies to develop and deliver the best customer experience in cloud computing.We aim to hire engineers who will thrive in a fast-paced, collaborative and open environment, who aren't afraid to dive-deep to solve seemingly impossible challenges, who want to build rock solid never-fail, highly-secure hardware at world-class scale and who obsess over customers.A day in the lifeYour day to day responsibilities will include interfacing with our internal and external customers to understand project requirements and facilitate system development on top of your server design. You will be responsible for solving operational challenges to our existing fleet with the goal of improving the current customer experience as well as developing improved systems for future designs. You will work directly with vendors and ODM/JDM design teams to develop and manufacture your product at scale.About the teamThe team is comprised of both Hardware Design Engineers, System Design Engineers, Software Development Engineers and Technical Program Managers, all with the common goal of delivering the best specialized server fleet possible to our customers.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere 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.Work/Life BalanceWe 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.Mentorship and Career GrowthWe’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 ExperiencesAmazon 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.BASIC QUALIFICATIONS- BS degree in EE, CE, or CS- 5+ years of experience with complex server, storage or network server designs- 5+ years of experience developing functional specifications, design verification plans, functional test procedures and operational repair plans- 5+ years of experience with debug and root cause analysis of PCIe, memory, storage subsystems or networking- 3+ years of advanced support experience managing customer escalations to quickly identify root cause and resolve issues in a large scale production environment (data center or similar).- Working with interdisciplinary teams to execute product design from concept to productionPREFERRED QUALIFICATIONS- MS degree in EE, CE or CS- Technical background in server design or architecture, specifically having led the development of multiple complete servers- Experience with server technologies: BIOS, BMC, signal integrity, memory, storage, PCIe, thermal- Experience with deploying and operating hardware and applications at scale- Developed monitoring and alerting systems to quickly identify and categorize failures in production environments- Proven results oriented person with a bias for action.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

PurposeThe Pediatric Research Engineering/ Scientist Associate (RESA) will support research initiatives focused on pediatric mental health at Dell Children’s Medical Center. The RESA will assist in various research-related tasks under the direction of a faculty supervisor, requiring a foundational understanding of research methods and strong attention to detail. This role provides opportunities for hands-on experience in data collection, research operations, and dissemination of findings.This is a partner funded position with an end date of 8/31/26, renewable based upon availability of funding, work performance, and progress toward research goals.ResponsibilitiesStudy Coordination and Data CollectionSupport data collection during monthly workshops, on the medical floors, and outpatient clinicManage technology used for data collection, including maintaining iPads.Participate in logistical aspects of clinical work including workshop support and collecting data when patients are admitted to the hospital. Coordinate follow-up data collectionwith study participantsServe as a liaison between psychology faculty and research participants as neededContribute to the maintenance and adherence of project proceduresData management and reporting of resultsMaintain and manage study databases, including REDCap (training provided if needed)Enter, clean, and organize study data; support preparation of descriptive statisticsSupport data integrity through documentation and quality checksParticipate in literature reviews and assist in preparation of materials for publication or presentationAssist in the preparation of research posters, manuscripts, or presentations at professional conferences (e.g., APA Division 54, 2025)Maintain the Standard Operating Procedures (SOP) documentProtocol Submissions and AdherenceHelp with submission and modification of IRB protocols and other compliance documentsEnsure protocol compliance and assist in tracking reporting timelines and requirementsCommunicate with IRB staff and study investigators to facilitate updates and regulatory adherenceParticipate in team meetings to review study updates and procedural modificationsQuality control proceduresSupport presentation planning and submission of research findings locally (e.g., Dell Children’s Clinical Leadership)Assist in coordination with collaborators for potential data pooling and integrationHelp track dissemination goals and timelinesRequired QualificationsBachelor's degreeStrong organizational skills and attention to detailProficiency in Microsoft Office tools (e.g., Word, Excel, PowerPoint)Interest in clinical research and pediatric healthAbility to work independently and collaborativelyExcellent verbal and written communication skillsRelevant education and experience may be substituted as appropriate.Preferred QualificationsPrior experience in clinical research, especially with children or behavioral healthFamiliarity with REDCap and/or Qualtrics (or willingness to learn)Experience with IRB protocol preparation and regulatory proceduresFamiliarity with basic data analysis and literature reviewPrevious experience in poster or manuscript preparationDemonstrated interest in pursuing research dissemination opportunitiesSalary Range$40,000 + depending on qualificationsWorking ConditionsMay work around standard office conditionsRepetitive use of a keyboard at a workstationOccasional weekend, overtime and evening work to meet deadlinesOccasional interstate, intrastate and international travel100% on-campus position at Dell Children’s Medical Center with required on-site presence during the scheduled work week.Required MaterialsResume/CV3 work references with their contact information; at least one reference should be from a supervisorLetter of interestImportantfor applicants who are NOT current university employees or contingent workers:You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes.Important for Current university employees and contingent workers:As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time agoeven yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.We are looking for a Component Engineer with strong skills and background in hardware design and firmware support. In this role you will work with supply chain team, help with component selection, optimize cost and be responsible for system validation and integration of hardware in the AWS fleet through its entire life cycle.You will work cross functionally with the Platform Design team, and additional teams across AWS to improve quality and reliability of products operating in the fleet.We are looking for candidates who thrive in a fast-paced start-up like environment and work independently to deliver multiple projects in parallel. To be successful you need to be highly motivated and detailed oriented while meeting the highest standards and time to market, cost and quality goals. About the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS 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.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere 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 conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe 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.Mentorship & Career GrowthWe’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.BASIC QUALIFICATIONS- BS in Electrical Engineering, Computer Engineering, or a related field- 5+ years of experience with component engineering- 3+ years of experience with hardware/software integration for embedded systems or hardware development- Experience with supply chain, vendors and working with external ODMPREFERRED QUALIFICATIONS- Strong analytical capabilities- The ability to work independently and drive tasks from start to completion- Ability to work cross functionally with SW team to define and implement diagnostics for hardware validation at component, interface, and system level- Experience with server (x86 / ARM) design or architectureAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Shape the future of AI infrastructure! Join AWS and develop system-level test solutions for our innovative ML acceleration hardware, deployed across our global server fleet.Annapurna Labs (our organization within AWS) design hardware and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time agoeven yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.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.You'll collaborate closely with cross-functional teams including hardware designers, software engineers, and operations specialists to develop robust test solutions that can scale to meet the demands of AWS's global infrastructure. Your work will be crucial in identifying and resolving integration issues, optimizing system performance, and ultimately ensuring that our ML acceleration products meet the highest standards of reliability and efficiency in real-world data center environments. If you're passionate about pushing the boundaries of ML hardware testing and have a knack for solving complex system-level challenges, we want you on our team.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 lifeWhy AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 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. 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. 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.BASIC QUALIFICATIONS* 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) designsPREFERRED QUALIFICATIONSPreferred 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 workloadsAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Annapurna Labs is at the forefront of hardware/software co-design, not just in Amazon Web Services (AWS) but across the industry. We design and build every component of our hardware and software to create products that our customers use for accelerated computing. If you're interested in the work required to build the highest-performing Machine Learning servers, from inception to delighted customers, Annapurna is a fantastic choice.We are seeking an experienced CPLD/FPGA Firmware Engineer to join our ML Acceleration Server Firmware team, which is responsible for developing firmware to enable power sequencing and developing control systems for ML Acceleration servers in the data center. The team focuses on deploying firmware to diverse environments, including pre-silicon emulation, hardware manufacturing, automated testing, and production systems used by customers.Technologies useful to this role include computer architecture, hardware description languages (HDLs), and embedded systems. Our team uses Verilog, C, C++, Lua, bash, Python and other similar languages. Although we use machine learning workloads to validate systems software, this team is focused on codeveloping reliable server software and hardware for customers to deploy their ML workloads at scale.Key job responsibilities- Develop CPLD and FPGA programs that implement power sequencing and manage various protocols, including PWM, I2C, and SPI- Develop systems software, kernel drivers- Define test and automation flows to validate firmware- Evaluate and optimize firmware performance- Build error detection and recovery mitigation systems at AWS scaleA day in the lifeYou will have the opportunity to develop server firmware in a highly cross-functional environment, working side by side with software and hardware teams to optimize customer experience. You will be responsible for building scalable designs that can be tested throughout the stages of product development including manufacturing and production. You will leverage automation, continuous integration, and fleet metrics to deploy and monitor your changes.About the teamAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere 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 conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe 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.Mentorship & Career GrowthWe’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.This is a hardware team, we focus on system programming related to accelerators and other devices. We are not implementing Machine Learning, we think more about device drivers than training algorithms. BASIC QUALIFICATIONS- 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- 3+ years of programming with at least one hardware description language (HDL) experiencePREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalent- Experience in embedded development in C/C++- Experience in RTL development in Verilog, VHDL, or SystemCAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time agoeven yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.We are seeking a Hardware Design Engineer with role in the definition, design and validation of AWS next generation ML Chips, Cards and server integration. As a senior member of our hardware team, you will have the outstanding and meaningful opportunity to participate in the design and execution of all PCIe and Serdes topics, with the goal of creating and customized platforms that fit within AWS datacenter’s world leading technology.As a member of the Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers. You’ll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.About the teamWhy AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. 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. 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. 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.BASIC QUALIFICATIONS- Deep knowledge with PCIe interface Gen4 or above, both Electrical and Functional at the chip level and at the PCB level. - Deep understanding of Transmission line theory and Electromagnetics and its application in SerDes, Single-ended signal and parallel bus interfaces. * Work with ODMs, IP Silicon vendors, component suppliers and internal design teams on cross-boundary triaging, debugging, and resolving issues.- Hands-on lab equipment skills (VNA, Realtime scope, Sampling scope and its accessories) for electrical validation and characterization. - Scripting skills to automate tests, logs parsing and data collection. - Strong technical communication skills (verbal and written) to interface with cross-functional technical leads within and/or outside of the organization.PREFERRED QUALIFICATIONS- Experience with Server HW designs, Design validation, Production tests and signal integrity of high speed interfaces. - Knowledge of the product development cycle from concept to mass production. - Strong analytical capabilities - The ability to work independently and drive tasks from start to completion - Ability to work cross functionally with SW team to define and implement diagnostics for hardware validation at component, interface, and system level - Experience with server (x86 / ARM) design or architecture Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time agoeven yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.We are seeking a talented and motivated Manufacturing Engineering Lead with a proven track record of implementing best in class processes within a complex manufacturing environment. This role will report to the Director of Engineering, and is an integral member of the Machine Learning Acceleration server development team. You will work closely with the hardware design and test engineers to implement, test and improve New Product assembly processes on the most advanced machine learning servers. You will participate in the early phase of manufacturing line development for our next generation servers and racks to improve our manufacturing flows informing system design, manufacturing, and fleet operations.You will manage early lifecycle changes, identify initial product quality improvements, and drive to technical root cause in supplier quality activities. The candidate will have experience in design or manufacturing and is capable of making wide-ranging business decisions on behalf of the organization.Key job responsibilities* Design and build an assembly line for machine learning acceleration servers.* Test individual server components and multi-rack systems. * Propose design changes that will enhance product manufacturability and testability.* Guide best practices on manufacturing tolerances..* Review external production processes, identify risk and inform improvements..* Identify supplier quality problems; inform containment and root cause activities.* Hire and mentor team members including design engineers and technicians.* Evaluate production, supplier and field failures for root cause analysis and resolution.* Travel to manufacturing and ODM development sites.A day in the lifeIn 2015, Annapurna Labs was acquired by Amazon Web Services (AWS). Since then, we have accelerated its innovation and developed a number of products that benefit cloud customers, including AWS Nitro technology, Inferentia custom Machine Learning chips, and AWS Graviton processors. Annapurna Labs is a silicon/system and software organization that is delivering all the chips used by AWS customers. Today this includes: Graviton, driving innovation for general purpose compute; Nitro, driving networking and storage scale, security and Hypervisor offload, and Machine Learning (ML) Trainium and Inferentia that are enabling customers to train and run GenAI applications while keeping costs under control. About the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS 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.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere 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 conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’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.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits>.BASIC QUALIFICATIONS* BS or MS degree in Electrical Engineering or Mechanical Engineering or related fields* 8+ years industry experience in System Design or System Assembly or Manufacturing. * Experience with System Mechanical & Thermal design for air-cooled and liquid-cooled systems * Collaborate effectively with teams spanning multiple sites and develop detailed specifications for product teams to use * Work with ODMs, component vendors, and internal design teams on cross-boundary triaging, debugging, and resolving issues across organization.* Experience in Design for Manufacturing (DFM), also known as Design for Manufacturability, is a product design approach that focuses on optimizing the ease and cost of manufacturing a productPREFERRED QUALIFICATIONS* Knowledge of Server mechanical/thermal design methodology, power modeling and thermal analysis techniques * Experience in building and scaling teams* Hands on design with enterprise hardware design, sled level design and rack level designs. * Programming experience: Bash script, Shell script, Linux, Python, and Lua. Familiarity with working in Linux environment is an added advantage Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Utility Computing (UC)AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time agoeven yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAWS 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. Work/Life BalanceWe 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 CultureHere 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 & Career GrowthWe’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. Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.Key job responsibilities- integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing- As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications.- Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements.- Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints.- Perform lint and clock domain crossing quality checks on the design.- Work with with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks.You will thrive in this role if you:- Are familiar with scripting in Python- Are proficient with assertions- Have good debug skills to analyze RTL test failures- Have a "Learn and Be Curious" mindsetAbout the teamCustom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.BASIC QUALIFICATIONS - B.S. in Electrical Engineering or related technical field - 5+ years in RTL design for SOC - 5+ years of VLSI engineering - 5+ years with code quality tools including: Spyglass, LINT, or CDCPREFERRED QUALIFICATIONS - Master's degree in electrical engineering, computer engineering, or equivalent - Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints - Experience with automation and scripting languages such as Python - Familiarity with data path design, interconnects, AXI protocol - Good analytical, problem solving, and communication skillsAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today’s AI workloads in datacenters all around the world. As a Circuit & Design Analysis engineer, you’ll collaborate with multiple teams to drive improvements in silicon yield & performance - it’s still Day One here at Amazon!We’re searching for an experienced Circuit Design & Analysis engineer with a background in custom circuit design & analysis, system level thermal & power analysis with a proven track record of handling challenges at scale. In this role, you’ll be working directly with product engineers, signal & power integrity engineers and physical design experts - defining best practices, driving correlation of pre-silicon simulation of thermal & power integrity to post silicon analysis and developing custom circuits that help raise the bar in implementing state-of-the-art machine learning hardware. Key job responsibilities- Design and implement custom cells / IP.- Develop & run characterization flows for custom cells / IP developed.- Own integration & post-silicon qualification of IPs like PLL, PCIE, UCIE, HBM, sensors/monitors.- Develop scripts to automate running analysis and collect reports.- Develop test-plan and perform measurements in the lab to correlate with simulation data.- Be a highly-valued member of our start-up like team through excellent collaboration and teamwork with other physical design engineers, product engineers, hardware engineers as well as with the RTL/Arch. teams.A day in the lifeDepending on the state of the project, you may find yourself working on the following:- Evaluate IPs (like sensors, process monitors) from a 3rd party - Develop an characterize custom IPs like ganged buffers, custom logic cells for specialized operations (like MACs)- Work with designers and architects to identify pain-points and areas where custom solutions can improve PPAS- Do post-silicon quality checks for key IP like PLLs, UCIE/PCIE, HBM- Do post-silicon power measurements of jitter, sensor calibration, power and correlate with simulation About the teamWhy AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. 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. 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. 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.BASIC QUALIFICATIONS- BS + 8yrs or MS + 6yrs or PhD + 3yr in EE/CS- Expertise on circuit level analysis using tools like SPICE / SPECTRE- Expertise in interconnect & transistor fundamentals in deep sub-micron processes- Understanding of ASIC Physical Design from RTL-to-GDSII- Understanding of other sign-off activities (ir/em, physical verification, timing closure, DFT)- 3+ years of scripting experience with Tcl, Perl or PythonPREFERRED QUALIFICATIONS- Experience in advanced nodes - 5nm or below- Expertise with Thermal & IR analysis tools (examples: Ansys Redhawk_SC-ET, Cadence Voltus & Celsius)- Experience with timing of IO interfaces like DDR, HBM, PCIe, Die-to-Die etc- Experience with using lab equipement like oscilloscopes, logic analyzers- Leadership and mentoring skills- Meets/exceeds Amazon’s leadership principles requirements for this role- Meets/exceeds Amazon’s functional/technical depth and complexity for this roleAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.