Manufacturing Platform Engineer - Software Development, Annapurna Labs

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.

Annapurna Labs is currently seeking highly experienced Software Development Engineers to enable automation systems and develop test infrastructure for manufacturing environments globally. As a member of the Machine Learning Acceleration team, you will develop and maintain critical test infrastructure for our ML acceleration hardware, ensuring quality and reliability across our manufacturing operations.

You will work on developing at-scale software solutions to manage the manufacturing environments at board and server level test. You will work together with other engineering teams to unify testing solutions between manufacturing and data center operations groups. You will develop and maintain the test deployment and distribution systems to ensure that our manufacturing partners have access to appropriate versions of our software as soon as it's available. You will respond to new issues raised by our manufacturing partners, analyze logs and failures, and then develop and deploy solutions to those issues. You will develop documentation as well as testing and debug procedures for our manufacturing partners to follow.

Key job responsibilities

Develop, validate and deploy test infrastructure mechanisms into manufacturing environments globally

Design and manage scaled fleets of custom test equipment, ensuring optimal performance and maintenance

Architect and develop data processing solutions using internal cloud services to collect, analyze, and manage manufacturing test data

Drive manufacturing test infrastructure unification efforts between lab and production environments

Collaborate with cross-functional teams to implement robust automation solutions

A day in the life

About the team

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.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn?t followed a traditional path, or includes alternative experiences, don?t let it stop you from applying.

About 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

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conferences, inspire us to never stop embracing our uniqueness.

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Basic Qualifications

Bachelor's degree in Computer Science, Electrical Engineering, or related technical field

5+ years of experience in software development using languages such as Python, C++, or Java

Experience developing and maintaining large-scale software systems

Strong understanding of data structures, algorithms, and software design patterns

Experience with Linux/Unix operating systems and shell scripting

Familiarity with version control systems (e.g., Git) and CI/CD pipelines

Experience with database systems and SQL

Strong problem-solving skills and ability to debug complex systems

Preferred Qualifications

Experience with cloud services, preferably AWS

Knowledge of hardware testing methodologies and automated test equipment

Familiarity with machine learning concepts and frameworks

Experience working in a manufacturing or hardware development environment

Knowledge of networking protocols and concepts

Experience with data analysis and visualization tools

Familiarity with agile development methodologies

Strong communication skills and experience working with cross-functional teams

Experience with test automation frameworks and practices

Understanding of security best practices in software development

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.

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.