AI Manufacturing Engineering Lead, Annapurna Labs

AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2) to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll 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 life
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 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 team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were 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 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

About AWS

Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 its 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 Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 Companys 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 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 $143300/year in our lowest geographic market up to $247600/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 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 product

* 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.