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[India] Physical Design Engineer

EdgeCortix

RTL / HDLCompilersPhysical designSoC / ASICFull-TimePosted Jan 27, 2025
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Skills named in this posting

  • Logic synthesis
  • STA
  • Place and route
  • Low-power design (UPF)
  • UCIe / chiplets
  • Python
Introduction We are seeking an experienced Physical Design Engineer to join our team developing next-generation AI acceleration SoCs and chiplets at EdgeCortix. In this role, you will play a key part in driving synthesis, timing closure, and design optimization in close collaboration with our RTL, architecture, and external implementation partners. This is an exciting opportunity to contribute to cutting-edge silicon development that powers advanced AI systems at the edge. The Team As a team, we are working to define and solve the hardest problems in AI including computer vision, speech, and natural language, geared towards real-time capabilities on small to medium-form factor devices. We originated out of multiple years of research, as such at our core we value learning, intellectual curiosity, and self-starters. We have the ambitious goal of enabling cloud-level performance with significantly better energy efficiency for AI inference at the edge. About EdgeCortix EdgeCortix is a deep-tech, fabless semiconductor startup revolutionizing edge computing with artificial intelligence and high-efficiency system-on-chip (SoC) design. Founded on years of advanced research, our proprietary hardware-software co-design methodology and Dynamic Neural Accelerator® AI processor IP are reshaping the AI hardware space. Headquartered in Tokyo, Japan, we also operate in Singapore, the United States (California and Virginia), and India. Your Role and Responsibilities As a Physical Design Engineer, you will contribute to the implementation of our next-generation AI acceleration SoCs and chiplets. As part of small internal PD team, you will be responsible for driving key aspects of the front-end synthesis experiments to determine optimal PPA operating point and taking the IPs through Place and Route flow through close collaboration with RTL design and architecture teams. The sign-off activities and regular P&R progress has to be closely collaborated with our external implementation partners. This role emphasizes synthesis, timing analysis, floorplanning, power optimization, and design closure, with a strong focus on communication and coordination across internal and external teams. Key Responsibilities • Drive and maintain RTL-to-GDSII flow, focusing on synthesis, STA, and design closure. Knowledge of DVFS, MMMC is important • Strong Synthesis knowledge essential. Able to conduct multiple experiments at Synthesis and take it to P&R and provide feedback to IP teams • Define floorplans and block partitioning strategies for hierarchical designs. • Coordinate with external vendors for backend P&R execution; review their outputs for quality and correctness. • Analyze timing paths and lead STA closure across PVT corners and operating modes. • Develop and optimize physical constraints (SDC, TCL) and run equivalence checks. • Placement analysis, congestion analysis, Clock Tree implementation experience needed • Evaluate standard cell libraries and implementation methodologies to improve PPA. • Implement low-power design strategies using UPF (Unified Power Format). • Review power grid planning and sign-off reports (IR-drop, EM). • Drive ECO implementation based on RTL changes or timing requirements. • Collaborate with internal RTL and architecture teams to improve logic and system-level PPA. • Participate in early feasibility studies and contribute to PPA projections. • Maintain and improve internal automation scripts and flows. Minimum Qualifications • Bachelor's degree in Electrical Engineering, Computer Engineering, or related field. • 5+ years of experience in physical design of SoCs with a focus on synthesis and timing. • Proficiency in STA and synthesis tools (e.g., Primetime, Design Compiler, Genus). • Familiarity with backend flows and interaction with P&R teams (internal or external). • Good scripting skills (TCL, Python, Shell). • Experience working with advanced technology nodes ( 12nm and below). Preferred Qualifications • Master’s degree in relevant field. • 8–10+ years of experience in physical design or chip implementation. • Prior experience coordinating with remote backend implementation teams. • Experience in chiplet architecture or hierarchical SoC designs. • Understanding of sign-off checks (LVS, DRC), IR-drop, crosstalk, and EM analysis. • Proficiency in UPF-based low-power flows and ECO handling. • Strong communication and project coordination skills. What’s in it for you? Make a difference: you will have the opportunity to join a well-funded fabless AI semiconductor startup that is disrupting the AI software and hardware co-design space. Be an integral part of its growth and momentum. Location - Hyderabad Benefits and Perks • Highly competitive salary and stock options Flex work time Top-tier employee benefits

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Original posting: edgecortix.bamboohr.com

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RISC-V ecosystem

EdgeCortix in the RISC-V ecosystem

AI accelerators for edge devices · AI · US · founded 2019

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