Annapurna Labs
Technology
HBMValidationEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“HBM Validation Engineer at Annapurna Labs. Skills: HBM Validation, ML Chips, DDRx. Collaborate with architects, design teams, and software engineers. Support on-going debug and operations of ML chips”
What You'll Achieve.
Improve characteristics of HBM; Ensure high quality product
Industry & Context.
Root-cause analysis; Debug; Troubleshooting
What They're Looking For.
Must Have
BS in Electrical Engineering, Computer Engineering, Systems Engineering, Computer Science or related field, 5+ years of experience in Silicon development, 3+ years in SOC/IO/Subsystems, Good understanding of DDR/HBM at the PHY and controller level, Good knowledge of DDR/HBM training, timing parameters and/or controller features, Support the physical design team with IP integration, silicon design, 2.5D packaging, clocking and timing constraints, Ability to create scripts (lua, bash, python, etc.) to accomplish functional day to day tasks, Drive cross-functional triage effort on functional and performance issues, Perform system-level debug and root-cause analysis through bring-up, characterization, validation and production phase, Experience Working with 3rd party IP and memory vendors
Nice to Have
MS in Electrical Engineering, Computer Engineering, Systems Engineering, Computer Science or related field, Firmware development skills within embedded environments, Good leadership skills, Ability to multi-task and thrive in a dynamic environment, Knowledge of HBM, DDRx and related protocols, Good communication skills and interpersonal skills
What You'll Do.
Collaborate with architects
and software engineers
Support on-going debug and operations of ML chips
Dive deep into IP integration
Dive deep into packaging
Dive deep into silicon bring up
Dive deep into characterization
Dive deep into validation of HBM subsystems
Independently develop scripts
Collect data at scale
Improve product reliability
Improve product performance
Participate in design discussions
Participate in code reviews
Participate in tickets
Participate in data center capacity initiatives
Mentor others on the team
Participate in hiring process
How You'll Work.
Team & Collaboration
Cross-functional triage; Work with vendors; Collaborate with architects; Collaborate with design teams; Collaborate with software engineers; Partner with other teams
Communication Scope
Interpersonal skills
Full Job 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
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