{"id":1528246,"url":"https://alion.io/job/amd-senior-software-engineer-memory-diagnostics","title":"Senior Software Engineer, Memory Diagnostics","company":{"id":93,"name":"AMD","domain":"amd.com","url":"https://alion.io/company/amd","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":8000,"max":10000,"currency":"SGD","period":"month","gross":true,"usd_annual":94008},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":true},{"name":"Git","optional":true}],"status":"live","first_seen_at":"2026-09-30T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-09-30T00:00:00Z","board_verified":false,"closed_at":null,"days_open":13,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":13},"description":"THE ROLE:\nJoin the team working on AMD’s next-generation data center and server processors. The Diagnostics team develops tests that exercise and validate the hardware blocks in the compute processors developed at AMD. We understand the features that go into the hardware design and have the software skills to program them to life. Once developed, these diagnostics are used throughout the product lifecycle, from pre-silicon validation through production.\nTHE PERSON:\nYou’ll join our Memory Diagnostics development team, where you’ll gain an understanding of all the HW clients that generate memory access requests, and drive memory traffic to maximize bandwidth and stress. You will combine your knowledge of computer architecture with a passion to push boundaries and HW to their limits.\nKEY RESPONSIBILITIES:\nDesign innovative diagnostics by applying knowledge of memory subsystems, caches and\nDDR/GDDR/DRAM technologies\nCode, debug and optimize functional and stress tests for memory subsystem and system-on-chip\nhardware IP\nDevelop diagnostic tests to bring-up and validate HW features on pre-silicon environment (HW\nemulators) and post-silicon systems (HW silicon and platform)\nIdentify and resolve chip, board and firmware issues\nDebug and root cause HW and SW issues, ensure high quality software engineering and hardware\ncoverage bar\nIdentify and drive improvements to framework and test architectures to improve HW coverage,\ndebuggability and quality\nLeverage AI-powered coding assistants, agents, and analysis tools for code generation, software\ndesign, review, optimization, root-cause analysis, issue triage, and debug acceleration to improve\nengineering productivity while validating generated code and findings to maintain quality.\nPREFERRED EXPERIENCE:\nFamiliarity with JEDEC specifications and DDR memory technology/standards\nExperience developing and executing DRAM/memory stress tests for bandwidth, latency, data integrity,\naddress-pattern and retention coverage across memory controllers and channels\nInfluence system-level validation using a working knowledge of PCIe, high-speed interfaces and\nPC architecture\nExperience in diagnostic, device-driver, firmware or embedded software development in largescale\nLinux environments\nDrive production-ready test solutions across ATE platforms, wafer sort, functional test with\nscreening-pattern development\nCollaborate with hardware designers, architects and validation teams to resolve complex\nhardware/software issues, production failures and failure-analysis challenges\nDesign and optimize object-oriented software using modern C++ and Git/Gerrit\nCommunicate clearly and collaborate effectively across multidisciplinary engineering teams\nOwn end-to-end testing, issue triage and root-cause analysis to efficiently resolve complex\nhardware and software failures\nInnovate with AI coding assistants, agents and analysis tools to accelerate software design, review,\noptimization and issue resolution, while validating generated code and findings\nACADEMIC CREDENTIALS:\nBachelor’s or Master’s degree in Electrical/Computer Engineering/Computer Science or equivalent\nSkills\nApplication Development, Software Quality Engineering, Coding, Hardware Diagnostics, IP, Debugging, Hardware Testing, Emulation, Software Development, 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