{"id":2051352,"url":"https://alion.io/job/nvidia-principal-gpu-memory-architect","title":"Principal GPU Memory Architect","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":411,"ghost_share":0.015,"stale_share":0.479,"repost_share":0.032,"time_to_fill_p50_days":28,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Hardware","role_family":"Hardware","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":272000,"max":431250,"currency":"USD","period":"year","gross":null,"usd_annual":431250},"salary_estimate":null,"experience_years_min":18,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"Verilog","optional":true},{"name":"VHDL","optional":true}],"status":"live","first_seen_at":"2026-10-07T21:56:07Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-12T21:57:46Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance computing systems, with a focus on enhancing the power-constrained performance of the hardware. Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad perspective across the field of computer architecture and depth in the area of power, performance, and area (PPA) analysis is highly desirable. NVIDIA has pioneered programmable GPUs and the CUDA language and is a world leader in high-performance computing technology, with aggressive plans for future processors. This position offers the opportunity to have a real impact in a fast-moving, technology-focused company.\nWhat you will be doing:\nDevelop innovative high-performance processor and system architectures, focusing on the memory system and energy efficiency.\nDevelop architecture and micro-architecture features to improve the state-of-the-art in GPU memory systems, optimizing along the axes of perf/W, perf/mm, and perf/$.\nDevelop and enhance architecture prototype models for power and noise analysis.\nParticipate in performance and power simulation of features to analyze, define, and improve energy per byte.\nAnalyze benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimizations.\nDebug power, performance, and functional issues with high-level models, RTL simulation and emulation, silicon, and systems.\nCollaborate with outside partners on system infrastructure. \nWhat we want to see:\n18+ yrs of experience in CPU/GPU architecture, memory systems design with a focus on energy efficiency in the system.\nBachelors in Electrical Engineering, Computer Science, or related field (or equivalent experience).\nExpertise in power analysis and modeling in pipeline-based architectures.\nGood understanding of power analysis tools like Ansys Power Artist, Synopsys PTPX, etc.\nExperience with C, C++, and some scripting languages.\nWays to stand out from the crowd:\nMS/PhD in Electrical Engineering, Computer Science, or related field\nExperience with hardware design languages such as Verilog or VHDL\nPrior experience in developing and optimizing algorithms for power efficiency\nDemonstrated ability to innovate and drive continuous improvement in system architecture\nExcellent communication skills, both written and verbal, for effective collaboration with internal teams and external partners.\nYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.\nYou will also be eligible for equity and benefits.\nApplications for this job will be accepted at least until October 11, 2026.This posting is for an existing vacancy.\nNVIDIA uses AI tools in its recruiting processes.\nNVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.","description_format":"text","description_chars":3421,"description_truncated":false,"requirements":{"experience_years_min":18,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Servers & Data Center Hardware","Computer Components","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-10-07T21:56:07Z"}],"visa":[],"liveness":{"score":87,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.874,"p_room":1,"age_days":4,"expected_fill_days":28,"reasons":["conf:2","velocity","win:early","comp:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":431250,"is_top_pay":true},"html_url":"https://alion.io/job/nvidia-principal-gpu-memory-architect","json_url":"https://alion.io/job/nvidia-principal-gpu-memory-architect.json","meta":{"generated_at":"2026-10-13T00:12:46Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":320,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6},"rest":"https://alion.io/mcp/rest/get_company?id=6"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnvidia-principal-gpu-memory-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnvidia-principal-gpu-memory-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnvidia-principal-gpu-memory-architect"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/nvidia-principal-gpu-memory-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnvidia-principal-gpu-memory-architect"}]}