Testing Infrastructure Lead, Annapurna Labs Machine Learning Acceleration
Haifa, HA, ISR
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Annapurna Labs designs silicon and software that accelerates innovation. Custom machine learning chips are at the heart of our Trainium machine learning instances, and we invite you to build them with us!
We are looking for an infrastructure leader with a strong software engineering background.
As an infrastructure leader in the Cloud-Scale Machine Learning Acceleration team, youāll be responsible for building testing infrastructure for the development of Trainium chips.
Key job responsibilities
1. Design a framework to automate verification and validation tests for pre-silicon and silicon on multiple platforms (simulation, emulation, silicon prototypes, etc.).
2. Implement software for different types of environments (embedded / x86).
3. Build systems to collect and analyze test results and related test artifacts like logs.
4. Build visual tracking tools for regression and coverage metrics.
5. Drive integration in multiple teams and ensure the automation system scales with org needs.
About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and weāre 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, hasnāt followed a traditional path, or includes alternative experiences, donāt let it stop you from applying.
About AWS
Amazon Web Services (AWS) is the worldās most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating ā thatās 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, itās 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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, thereās nothing we canāt achieve in the cloud.
Mentorship & Career Growth
Weāre continuously raising our performance bar as we strive to become Earthās Best Employer. Thatās why youāll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 5+ years of non-internship professional software development experience
- 5+ years of test automation frameworks and tools building experience
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- 3+ years of experience writing code to automate the management of Infrastructure services: Python, Perl, or Shell
- Experience with Build Release Management Tools like Jenkins
- Experience with Continuous Integration methodology
- Experience with monitoring tools such as Kibana
- Experience building developer tools for embedded systems or SoCs
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 youāre applying in isnāt listed, please contact your Recruiting Partner.
We are looking for an infrastructure leader with a strong software engineering background.
As an infrastructure leader in the Cloud-Scale Machine Learning Acceleration team, youāll be responsible for building testing infrastructure for the development of Trainium chips.
Key job responsibilities
1. Design a framework to automate verification and validation tests for pre-silicon and silicon on multiple platforms (simulation, emulation, silicon prototypes, etc.).
2. Implement software for different types of environments (embedded / x86).
3. Build systems to collect and analyze test results and related test artifacts like logs.
4. Build visual tracking tools for regression and coverage metrics.
5. Drive integration in multiple teams and ensure the automation system scales with org needs.
About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and weāre 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, hasnāt followed a traditional path, or includes alternative experiences, donāt let it stop you from applying.
About AWS
Amazon Web Services (AWS) is the worldās most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating ā thatās 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, itās 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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, thereās nothing we canāt achieve in the cloud.
Mentorship & Career Growth
Weāre continuously raising our performance bar as we strive to become Earthās Best Employer. Thatās why youāll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- 5+ years of non-internship professional software development experience
- 5+ years of test automation frameworks and tools building experience
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- 3+ years of experience writing code to automate the management of Infrastructure services: Python, Perl, or Shell
- Experience with Build Release Management Tools like Jenkins
- Experience with Continuous Integration methodology
Preferred Qualifications
- Experience with DevOps or testing automation for silicon development- Experience with monitoring tools such as Kibana
- Experience building developer tools for embedded systems or SoCs
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 youāre applying in isnāt listed, please contact your Recruiting Partner.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
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Categories:
Leadership Jobs
Machine Learning Jobs
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Tags: AWS DevOps Engineering Java Jenkins Kibana Machine Learning Perl Python Testing
Perks/benefits: Career development Conferences Team events
Region:
Middle East
Country:
Israel
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