OpenReq (Acquired) · 4 months ago
Power Architect, AI Data Center Chiplets
OpenReq is leading the industry in cutting-edge AI technology and is looking for a Power Architect specializing in AI Data Center Chiplets. The role focuses on enhancing energy efficiency in RISC-V based CPUs and AI Data Centers, requiring expertise in Power Management and SoC Power Architecture while collaborating with multidisciplinary teams.
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Responsibilities
A hands-on expert in Power Management and SoC Power Architecture, with proven experience in data center power optimization
Skilled at debugging, experimentation, and root cause analysis, thriving in fast-paced, technically challenging environments
A strong collaborator and communicator, comfortable working with multidisciplinary teams across silicon, firmware, and systems
Deep expertise in Power Management, SoC Power Architecture, Power Delivery Networks, Thermal Analysis, and Performance Trade-offs
Proficiency in Power Estimation Methodologies (e.g., using PTPX inputs) and trade-off modeling
Experience with silicon PVT corners, process node trade-offs, binning, voltage droop mitigation techniques
Ability to analyze AI and ML workloads for performance and efficiency
Strong debugging skills and ability to design experiments to root cause issues
Great interpersonal and collaboration skills to work with diverse engineering teams
Qualification
Required
A hands-on expert in Power Management and SoC Power Architecture, with proven experience in data center power optimization
Skilled at debugging, experimentation, and root cause analysis, thriving in fast-paced, technically challenging environments
A strong collaborator and communicator, comfortable working with multidisciplinary teams across silicon, firmware, and systems
Passionate, optimistic, and driven to make bold contributions that push the boundaries of AI hardware
Committed to execution and impact — you enjoy doing, not just talking, and are motivated to leave your mark on the future of AI
Deep expertise in Power Management, SoC Power Architecture, Power Delivery Networks, Thermal Analysis, and Performance Trade-offs
Proficiency in Power Estimation Methodologies (e.g., using PTPX inputs) and trade-off modeling
Experience with silicon PVT corners, process node trade-offs, binning, voltage droop mitigation techniques
Ability to analyze AI and ML workloads for performance and efficiency
Strong debugging skills and ability to design experiments to root cause issues
Great interpersonal and collaboration skills to work with diverse engineering teams
Benefits
Highly competitive compensation package and benefits