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
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually