System Validation Engineer, System Validation Engineer

AWS is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuously innovating.
Backend
Mid-Level Software Engineer
In-Person
3+ years of experience
AI

Description For System Validation Engineer, System Validation Engineer

AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. This role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio.

Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. 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's Machine Learning organization is dedicated to creating innovative, highly available, and cost-effective machine learning solutions for our customers. Our team has delivered Inf1, Inf2, and Trn1 instances types to our customers, lowering the cost of inference and training while minimizing downtime.

The validation team is at the forefront of the hardware lifecycle and supports the project at every step, from emulation, through initial bringup and validation, and even integration of customer feedback into tools and workloads. We are looking for a Software Development Engineer II to join the validation team and ensure our newest hardware will delight customers!

Key job responsibilities:

  • Develop chip-level and system-level validation plans focused on customer needs
  • Develop workloads and tools to enable validation, tested using emulation environments
  • Execute validation plans, debug failures, and communicate with key project stakeholders
  • Enable other teams to use workloads and tools for other parts of the projects such as characterization
  • Teach and share debug strategies with the larger 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.

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.

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.

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, there's nothing we can't achieve in the cloud.

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Last updated 3 months ago

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