Sr. Component Engineer, Annapurna Labs, Machine Learning Hardware

Amazon logo

Amazon

full-time

Posted: September 25, 2025

Number of Vacancies: 1

Job Description

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 ago—even 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 teamIn 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 Graviton2 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 permanently while keeping costs under control.

Locations

  • United States, TX, Austin, Austin, TX, United States
  • United States, CA, Cupertino, Cupertino, CA, United States

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

160,000 - 220,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • - 5+ years of experience with component engineeringintermediate
  • - 3+ years of experience with hardware/software integration for embedded systems or hardware developmentintermediate
  • - Experience with supply chain, vendors and working with external ODMintermediate

Required Qualifications

  • - BS in Electrical Engineering, Computer Engineering, or a related field (experience)
  • - 5+ years of experience with component engineering (experience, 5 years)
  • - 3+ years of experience with hardware/software integration for embedded systems or hardware development (experience, 3 years)
  • - Experience with supply chain, vendors and working with external ODM (experience)

Preferred Qualifications

  • - Strong analytical capabilities (experience)
  • - The ability to work independently and drive tasks from start to completion (experience)
  • - Ability to work cross functionally with SW team to define and implement diagnostics for hardware validation at component, interface, and system level (experience)
  • - Experience with server (x86 / ARM) design or architecture (experience)
  • 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. (experience)
  • 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 $257,300/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. (experience)

Target Your Resume for "Sr. Component Engineer, Annapurna Labs, Machine Learning Hardware"

Get personalized recommendations to optimize your resume specifically for Sr. Component Engineer, Annapurna Labs, Machine Learning Hardware. Our AI analyzes job requirements and tailors your resume to maximize your chances.

Keyword optimization
Skills matching
Experience alignment

Check Your ATS Score for "Sr. Component Engineer, Annapurna Labs, Machine Learning Hardware"

Find out how well your resume matches this job's requirements. Our Applicant Tracking System (ATS) analyzer scores your resume based on keywords, skills, and format compatibility.

Instant analysis
Detailed feedback
Improvement tips

Documents

Tags & Categories

aws.team-annapurna-labsaws.team-utility-computingHardware Development

Sr. Component Engineer, Annapurna Labs, Machine Learning Hardware

Amazon logo

Amazon

full-time

Posted: September 25, 2025

Number of Vacancies: 1

Job Description

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 ago—even 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 teamIn 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 Graviton2 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 permanently while keeping costs under control.

Locations

  • United States, TX, Austin, Austin, TX, United States
  • United States, CA, Cupertino, Cupertino, CA, United States

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

160,000 - 220,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • - 5+ years of experience with component engineeringintermediate
  • - 3+ years of experience with hardware/software integration for embedded systems or hardware developmentintermediate
  • - Experience with supply chain, vendors and working with external ODMintermediate

Required Qualifications

  • - BS in Electrical Engineering, Computer Engineering, or a related field (experience)
  • - 5+ years of experience with component engineering (experience, 5 years)
  • - 3+ years of experience with hardware/software integration for embedded systems or hardware development (experience, 3 years)
  • - Experience with supply chain, vendors and working with external ODM (experience)

Preferred Qualifications

  • - Strong analytical capabilities (experience)
  • - The ability to work independently and drive tasks from start to completion (experience)
  • - Ability to work cross functionally with SW team to define and implement diagnostics for hardware validation at component, interface, and system level (experience)
  • - Experience with server (x86 / ARM) design or architecture (experience)
  • 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. (experience)
  • 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 $257,300/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. (experience)

Target Your Resume for "Sr. Component Engineer, Annapurna Labs, Machine Learning Hardware"

Get personalized recommendations to optimize your resume specifically for Sr. Component Engineer, Annapurna Labs, Machine Learning Hardware. Our AI analyzes job requirements and tailors your resume to maximize your chances.

Keyword optimization
Skills matching
Experience alignment

Check Your ATS Score for "Sr. Component Engineer, Annapurna Labs, Machine Learning Hardware"

Find out how well your resume matches this job's requirements. Our Applicant Tracking System (ATS) analyzer scores your resume based on keywords, skills, and format compatibility.

Instant analysis
Detailed feedback
Improvement tips

Documents

Tags & Categories

aws.team-annapurna-labsaws.team-utility-computingHardware Development