HBM Validation Engineer, Annapurna Labs

Description

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.

We are seeking an HBM/DDRx validation expert with a heavy focus on validation of AWS next generation ML Chips, Cards and server integration. As a member of our memory team, you will have the opportunity to participate in the execution of HBM across all Trainium platforms, with the goal of improving the characteristics of HBM for our world leading Trainium AI servers.

Our HBM engineers need to independently work with vendors, understand the settings, write/modify tests, debug and collect data in the fleet.

Key job responsibilities

As a member of the team, you will join a mixed group of hardware and software engineers working to design, integrate, and innovate the next generation of machine learning chips into Trainium servers. In this position it is expected that you will:

* Collaborate with architects, design teams, and software engineers on our next generation ML chips

* Support on-going debug and operations of previous ML chips within manufacturing and the data center

* Dive deep into IP integration, packaging, silicon bring up, characterization, and validation of our HBM subsystems

* Independently develop the scripts you need to execute and collaborate with software engineers as your needs scale

A day in the life

A day in the life of a CHDE focused on HBM on the MLA Technology team focuses on operational excellence, constructively identifying problems, prototyping solutions, and leading data collection at scale to improve our products. We start each day looking at our fleet, reviewing dashboards for emergent issues impacting our customers, partnering with other teams to drive complex debugs as it pertains to HBM and associated SoC subsystems.

We then look forward to the future technologies being developed and how we can best focus our efforts to help improve them and ensure a high quality product on behalf of our customers.

Our team members touch everything from electrical simulations, to hardware qualification on test benches, to software driven data center metrics, with a broad range of tasks across multiple skillsets where you can help improve the reliability and performance of our products. You help the team evolve by actively participating in design discussions, code reviews, tickets, and data center capacity initiatives. While you are not a software engineer, you are not blocked by missing code, leveraging your scripting knowledge and AI tooling to help you move forward.

CHDEs on the MLA Technology Team are expected to help mentor others on the team in their area of expertise, regardless of level, to help develop the team's baseline skillsets and to participate in the hiring process for the team.

About the team

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

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