Tenstorrent · 1 day ago
Power Architect, Automotive Chiplets
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. The Power Architect role involves optimizing power management and architecture for SoCs and chiplets, focusing on energy efficiency in autonomous driving and robotics.
Application Specific Integrated Circuit (ASIC)Artificial Intelligence (AI)ElectronicsMachine LearningSemiconductor
Responsibilities
Deep expertise in Power Management, SoC Power Architecture, Power Delivery Networks, Thermal Analysis, Power and Performance Trade-offs, and Throttling Algorithms
Knowledge of Silicon PVT corners, process node trade-offs, binning, voltage droop mitigation techniques, latency analysis, and responsiveness
Fluency in Power Estimation Methodologies (e.g., using PTPX inputs) and ability to define and execute power/performance trade-off modeling
Strong debugging and experimental design skills to root cause complex system issues
Excellent interpersonal skills to collaborate with cross-functional engineering teams
Familiarity with AI/ML workload analysis, Open Chiplet Architecture, and OCMI (Open Chiplet Management Interface)
Experience with D2D (Die-to-Die) links, package design trade-offs, or firmware development for power/performance optimization
Qualification
Required
A hands-on expert in Power Management and SoC Power Architecture, with proven experience in performance and energy efficiency 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, Power and Performance Trade-offs, and Throttling Algorithms
Knowledge of Silicon PVT corners, process node trade-offs, binning, voltage droop mitigation techniques, latency analysis, and responsiveness
Fluency in Power Estimation Methodologies (e.g., using PTPX inputs) and ability to define and execute power/performance trade-off modeling
Strong debugging and experimental design skills to root cause complex system issues
Excellent interpersonal skills to collaborate with cross-functional engineering teams
Experience with D2D (Die-to-Die) links, package design trade-offs, or firmware development for power/performance optimization
Preferred
Familiarity with AI/ML workload analysis, Open Chiplet Architecture, and OCMI (Open Chiplet Management Interface)
Benefits
Highly competitive compensation package and benefits
Company
Tenstorrent
Tenstorrent develops AI hardware and software solutions for data processing and machine learning application.
Funding
Current Stage
Late StageTotal Funding
$1.03BKey Investors
FidelityEPIQ Capital GroupEclipse Ventures
2024-12-02Series D· $693M
2023-08-02Series Unknown· $100M
2021-05-20Series C· $200M
Recent News
2026-01-06
2025-12-10
Company data provided by crunchbase