Thermal & Mechanical Engineer Annapurna Labs , Annapurna Labs, Machine Learning Hardware
Thermal & Mechanical Engineer Annapurna Labs , Annapurna Labs, Machine Learning Hardware
Posted on :
03-10-2025
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1 Vacancy
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Job Description
Annapurna Labs (our organization within AWS Utility Computing) 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 experienced Hardware Design Engineers to build the next generation of our cloud server infrastructure. Our success depends on our world-class server infrastructure; were handling massive scale and rapid integration of emergent technologies.
As a member of the Machine Learning Acceleration team youll be responsible for the design and optimization of hardware in our data centers. Youll 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 youll work with thought leaders in multiple technology areas. Youll have high standards for yourself and everyone you work with and youll be constantly looking for ways to improve your products performance quality and cost. Were changing an industry and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
Key job responsibilities
As a Mechanical Engineer you design and build the systems that are the heart of the worlds largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design including thermal solutions and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of AWS users.
About the team
In 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.
- Bachelors degree in Electrical Engineering or a related field
- Experience identifying bugs in architecture algorithms functionality and performance with strong overall debugging skills
- Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing
- Masters degree in Electrical or Communications Engineering or a related field
- Experience with formal verification techniques including abstraction and end-to-end checking
- Experience with ARM and various DSP ISAs
- Experience with current and upcoming RF standards in cellular (4G/5G NR) WiMAX 802.11ad microwave backhaul or related broadband wireless standards
- Experience with industry standard tools and scripting languages (Python or Perl) for automation
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 for more information. If the country/region youre applying in isnt 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 $129800/year in our lowest geographic market up to $212800/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
We are seeking experienced Hardware Design Engineers to build the next generation of our cloud server infrastructure. Our success depends on our world-class server infrastructure; were handling massive scale and rapid integration of emergent technologies.
As a member of the Machine Learning Acceleration team youll be responsible for the design and optimization of hardware in our data centers. Youll 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 youll work with thought leaders in multiple technology areas. Youll have high standards for yourself and everyone you work with and youll be constantly looking for ways to improve your products performance quality and cost. Were changing an industry and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
Key job responsibilities
As a Mechanical Engineer you design and build the systems that are the heart of the worlds largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design including thermal solutions and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of AWS users.
About the team
In 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.
- Bachelors degree in Electrical Engineering or a related field
- Experience identifying bugs in architecture algorithms functionality and performance with strong overall debugging skills
- Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing
- Masters degree in Electrical or Communications Engineering or a related field
- Experience with formal verification techniques including abstraction and end-to-end checking
- Experience with ARM and various DSP ISAs
- Experience with current and upcoming RF standards in cellular (4G/5G NR) WiMAX 802.11ad microwave backhaul or related broadband wireless standards
- Experience with industry standard tools and scripting languages (Python or Perl) for automation
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 for more information. If the country/region youre applying in isnt 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 $129800/year in our lowest geographic market up to $212800/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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