{"schemaVersion":"jobsearcher.job.v1","id":"42e006d49cec5ccb75569cda","url":"https://jobsearcher.com/jobs/42e006d49cec5ccb75569cda","canonicalUrl":"https://jobsearcher.com/jobs/42e006d49cec5ccb75569cda","title":"Senior Staff Engineer, RTL Memory Centric Computing","description":"Senior Staff Engineer, RTL Memory Centric Computing\nSan Jose, California, United States\n\nThe AGI Computing Lab is dedicated to designing and developing scalable platforms that handle the complex memory and computational demands of AI/ML workloads. In this role, you will design, prototype, and optimize next‑generation AI systems through tight hardware–software co‑design, contributing to the advancement of AGI in an affordable and sustainable manner.\n\nWhat You’ll Do\n\nDevelop IP for memory‑centric computing systems using Verilog, SystemVerilog, and HLS.\n\nOptimize the IP for performance, power, and area using techniques such as pipelining, parallelism, and data compression.\n\nCollaborate with verification engineers to design and develop test plans.\n\nMake design decisions across performance, power, thermal, and cost trade‑offs.\n\nTroubleshoot and debug hardware issues and validate design quality through verification and validation.\n\nStay current on advancements in machine learning and hardware architecture and contribute to developing new technologies.\n\nCommunicate effectively with stakeholders—including users, partners, and management—to ensure timely and on‑budget delivery.\n\nPerform additional responsibilities as assigned.\n\nWhat You Bring\n\nBachelor’s with 15+ years, or Master’s with 13+ years, or PhD with 10+ years of industry experience.\n\nStrong background in microarchitecture and computer architecture.\n\n5+ years of front‑end design methodology involving RTL development for complex control and data‑path IPs.\n\nExperience designing Memory Controller, NOC, and interconnect IP.\n\nExperience in memory‑centric computing IP and SoC integration.\n\nExperience with AI/ML workloads.\n\nStrong analytical and problem‑solving skills.\n\nExcellent communication and interpersonal skills.\n\nAbility to work independently and as part of a team.\n\nInclusive, collaborative, and innovative approach to teamwork and problem solving.\n\nCurious, resilient learner who seeks data to build understanding.\n\nLocation\nDaily onsite presence at our San Jose, CA office, in alignment with our Flexible Work policy.\n\nBase Pay Range\n$189,000 – $301,000 USD\n\nBenefits\n\nMedical, Dental, Vision, and 401(k) plans.\n\nInclusive rewards plan supporting whole‑person wellbeing.\n\nPaid time off: 4+ weeks of PTO a year, holidays, and sick leave.\n\nFamily support: fertility care stipend, adoption support, medical travel assistance.\n\nVirtual vet care for pets.\n\nOn‑demand wellness apps and free confidential therapy sessions.\n\nOnsite café and gym, plus virtual fitness classes.\n\nFlexible work environment to balance professional and personal needs.\n\nEqual Opportunity Employment Policy\nSamsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Comprehensive accommodations are provided throughout the recruiting process for candidates with disabilities, long‑term conditions, neurodivergent individuals, or those requiring pregnancy‑related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.\n\n#J-18808-Ljbffr","company":"Conductor","rawCompany":"conductor","city":"San Jose","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-20T03:50:45.889Z","occupations":[{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2072.00","title":"Electronics Engineers, Except Computer","slug":"electronics-engineers-except-computer"}],"industries":[{"code":"334413","title":"Semiconductor and Related Device Manufacturing","slug":"semiconductor-and-related-device-manufacturing"},{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Staff Engineer, RTL Memory Centric Computing","description":"Senior Staff Engineer, RTL Memory Centric Computing\nSan Jose, California, United States\n\nThe AGI Computing Lab is dedicated to designing and developing scalable platforms that handle the complex memory and computational demands of AI/ML workloads. In this role, you will design, prototype, and optimize next‑generation AI systems through tight hardware–software co‑design, contributing to the advancement of AGI in an affordable and sustainable manner.\n\nWhat You’ll Do\n\nDevelop IP for memory‑centric computing systems using Verilog, SystemVerilog, and HLS.\n\nOptimize the IP for performance, power, and area using techniques such as pipelining, parallelism, and data compression.\n\nCollaborate with verification engineers to design and develop test plans.\n\nMake design decisions across performance, power, thermal, and cost trade‑offs.\n\nTroubleshoot and debug hardware issues and validate design quality through verification and validation.\n\nStay current on advancements in machine learning and hardware architecture and contribute to developing new technologies.\n\nCommunicate effectively with stakeholders—including users, partners, and management—to ensure timely and on‑budget delivery.\n\nPerform additional responsibilities as assigned.\n\nWhat You Bring\n\nBachelor’s with 15+ years, or Master’s with 13+ years, or PhD with 10+ years of industry experience.\n\nStrong background in microarchitecture and computer architecture.\n\n5+ years of front‑end design methodology involving RTL development for complex control and data‑path IPs.\n\nExperience designing Memory Controller, NOC, and interconnect IP.\n\nExperience in memory‑centric computing IP and SoC integration.\n\nExperience with AI/ML workloads.\n\nStrong analytical and problem‑solving skills.\n\nExcellent communication and interpersonal skills.\n\nAbility to work independently and as part of a team.\n\nInclusive, collaborative, and innovative approach to teamwork and problem solving.\n\nCurious, resilient learner who seeks data to build understanding.\n\nLocation\nDaily onsite presence at our San Jose, CA office, in alignment with our Flexible Work policy.\n\nBase Pay Range\n$189,000 – $301,000 USD\n\nBenefits\n\nMedical, Dental, Vision, and 401(k) plans.\n\nInclusive rewards plan supporting whole‑person wellbeing.\n\nPaid time off: 4+ weeks of PTO a year, holidays, and sick leave.\n\nFamily support: fertility care stipend, adoption support, medical travel assistance.\n\nVirtual vet care for pets.\n\nOn‑demand wellness apps and free confidential therapy sessions.\n\nOnsite café and gym, plus virtual fitness classes.\n\nFlexible work environment to balance professional and personal needs.\n\nEqual Opportunity Employment Policy\nSamsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. Comprehensive accommodations are provided throughout the recruiting process for candidates with disabilities, long‑term conditions, neurodivergent individuals, or those requiring pregnancy‑related support. All candidates scheduled for an interview will receive guidance on requesting accommodations.\n\n#J-18808-Ljbffr","datePosted":"2026-06-20T03:50:45.889Z","dateModified":"2026-06-20T03:50:45.889Z","hiringOrganization":{"@type":"Organization","name":"Conductor","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"42e006d49cec5ccb75569cda"},"url":"https://jobsearcher.com/jobs/42e006d49cec5ccb75569cda"}}