Memory Hardware Engineer II

Microsoft•Redmond, WA

5d•$102,100 - $219,200

About The Position

Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions. Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for engineers to help achieve that mission. The Azure Memory & Storage Center of Excellence (AMS CoE) is part of the SCHIE organization focusing on Memory and Storage devices going into cloud hardware servers of all varieties. AMS provides memory and storage solutions to Azure, drives memory and storage suppliers to deliver high-quality products meeting Microsoft requirements. We are looking for engineers with a passion for driving impact through optimizing products and processes for quality, reliability, cost, and performance. As a Memory Hardware Engineer II supporting Microsoft’s first-party silicon products, you will provide innovative solutions to achieve best-in-class memory reliability, performance, and sustainability.

Requirements

Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 2+ years technical engineering experience OR equivalent experience
Ability to meet Microsoft, customer, and/or government security screening requirements is required for this role.
Microsoft Cloud Background Check. This position is required to pass the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.
This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations or Export Administration Regulations, the EU Dual Use Regulation, and/or other export control regulations.
As a condition of employment, the successful candidate will be required to provide either proof of their country of citizenship or proof of their U.S. permanent residency or other protected status (e.g., under 8 U.S.C. 1324b(a)(3)) for assessment of eligibility to access the export-controlled information.
To meet this legal requirement, and as a condition of employment, the successful candidate’s citizenship will be verified with a valid passport.
Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable.

Nice To Haves

3+ years technical engineering experience in a memory-related field
Experience with memory subsystems and interfaces, such as DDR or LPDDR, including interpreting device specifications, schematics and datasheets.
Experience using C, C++, Python, or PowerShell to automate hardware validation, data collection, analysis, or troubleshooting.
Experience with data analytics, data collection/aggregation, and dashboarding.
Experience with platform bring-up including tracing issues across firmware, drivers, and OS; written/verbal communication with partner teams.

Responsibilities

Define memory supportability requirements for Azure first-party silicon platforms, including validation, reliability, and serviceability deliverables.
Identify gaps in platform design, validation, telemetry, and operations, and drive improvements or workarounds to closure.
Partner with silicon, platform, firmware, operating-system, validation, and serviceability teams to evaluate tradeoffs and improve platform readiness.
Own assigned memory workstreams, make data-informed recommendations, communicate risks, and escalate decisions beyond the role’s scope.
Use validation results, reliability data, and telemetry to resolve recurring issues and improve quality, reliability, serviceability, cost, performance, and delivery readiness.