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.
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 atscale 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 its 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 crossfunctional 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 were building an environment that celebrates knowledgesharing and mentorship. Our senior members enjoy oneonone 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
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Bachelors 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 largescale 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 problemsolving skills and ability to debug complex systems
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 crossfunctional teams
Experience with test automation frameworks and practices
Understanding of security best practices in software development
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