Principal Chip Architect

4 weeks ago

Bengaluru, Karnataka, India SandLogic Full time
Job Title: Principal Chip Architect

We are seeking a highly skilled Principal Chip Architect to lead the design and development of advanced AI chips at SandLogic.

About the Role:

  • Define and drive the development of SandLogic's AI processors, including the ExSLerate chip.
  • Oversee the complete lifecycle of semiconductor development, from architectural definition to physical implementation.
  • Work closely with cross-functional teams to optimize power, performance, and area (PPA) and deliver world-class products.

Key Responsibilities:

  • Lead the architectural design of AI co-processors, including system-on-chip (SoC) and specialized accelerators for Generative AI and Edge AI applications.
  • Oversee the RTL design process, creating microarchitecture specifications, optimizing data paths, and driving the development of efficient digital circuits.
  • Develop and execute robust verification strategies, guiding the verification team to validate the chip's functional correctness and performance across all design phases.
  • Work closely with the physical design team to guide synthesis, floor planning, placement, routing, timing closure, and power analysis.
  • Ensure that the chip architecture and design meet the PPA targets required for AI workloads, including low-latency inference and real-time processing on edge devices.
  • Mentor junior engineers, setting best practices in chip design, verification, and implementation, while also fostering a culture of innovation.
  • Partner with the software and systems teams to ensure seamless integration of the AI co-processor into broader hardware and software ecosystems.
  • Lead technical documentation efforts and participate in architecture and design reviews to ensure best practices and technical excellence.

Qualifications:

  • 10+ years of experience in semiconductor design, with extensive experience across the entire lifecycle.
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
  • Expertise in VLSI design, digital logic design, RTL development (Verilog/VHDL), and microarchitecture.
  • Proficiency with EDA tools for synthesis, verification, and physical design (Cadence, Synopsys, etc.).
  • Experience with advanced nodes (e.g., 7nm, 5nm, or below), DFT methodologies, and low-power design techniques.
  • Strong background in programming and scripting languages (Python, Perl, TCL).
  • Experience in designing AI accelerators, DSPs, or specialized processors.

Preferred Qualifications:

  • Experience in AI hardware design, including accelerators for machine learning and inference.
  • Familiarity with high-bandwidth memory interfaces, multi-chip configurations, and multi-modal AI workloads.
  • Background in edge computing and energy-efficient processor design.

What We Offer:

  • Competitive salary and benefits, including performance-based incentives.
  • Opportunity to work on cutting-edge AI and semiconductor projects.
  • A collaborative work environment that fosters innovation and growth.
  • Exposure to the latest technologies in Generative AI and Edge AI.

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