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Architect Labs

AI-driven automated ASIC chip design platform

Microarchitect / RTL Design - Interconnect & Fabric

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

  • Bachelor’s, Master’s, or PhD in Electrical Engineering, Computer Engineering, or a closely related field.
  • At least 5 years of RTL design experience, including at least one advanced-node tapeout involving on-chip interconnects, network-on-chip fabrics, or high-speed I/O subsystems.
  • Deep familiarity with the ARM AMBA protocol suite, including AXI4/AXI5, ACE/ACE-Lite, CHI, and legacy AHB/APB.
  • Hands-on experience designing or owning crossbar switches, network-on-chip routers, or multi-layer interconnects, including arbitration schemes, virtual-channel management, flow control, and quality-of-service mechanisms.
  • Experience with high-speed I/O bridge logic, such as PCIe root complex/endpoint bridge design, CXL protocol translation, or custom chip-to-chip links including link-layer protocols, credit management, and replay/retry logic.
  • Experience with peer-to-peer DMA architectures, zero-copy data transfer engines, scatter-gather descriptors, and direct device-to-device communication paths that bypass host memory bottlenecks.
  • Strong SystemVerilog skills for clear, synthesizable, lint-clean RTL, including parameterization, modularity, and configurability for topology and quality-of-service instantiations.
  • Solid understanding of synthesis, timing constraints, clock-domain crossings, reset strategies, and power management for interconnect logic.
  • Strong Python skills for design automation, traffic generation and analysis, network-on-chip configuration scripting, regression infrastructure, and tooling.
  • Experience taking an interconnect or fabric block from RTL through synthesis and working with physical-design teams on timing, area, and power closure.

Responsibilities

  • Own the on-chip fabric RTL end-to-end, from network-on-chip topology and router microarchitecture through code generation, lint, clock-domain-crossing checks, synthesis, and timing closure using the AI-driven design flow.
  • Design and implement AMBA-based interconnect fabrics, including AXI/ACE/CHI-compliant crossbar switches, network interfaces, protocol converters, and multi-layer interconnect configurations optimized for machine-learning accelerator traffic patterns.
  • Architect network-on-chip routers and topologies, including virtual-channel routers, wormhole/flit-based switching, adaptive routing algorithms, quality-of-service-aware arbitration, and deadlock-free mesh, ring, and tree networks.
  • Design high-speed I/O fabric bridges and peer-to-peer engines, including PCIe/CXL-to-fabric bridges, chip-to-chip interconnect logic, peer-to-peer DMA controllers, and coherent or non-coherent multi-chip fabric extensions.
  • Work with the principal architect to refine microarchitectural specifications, resolve implementation trade-offs, and feed area, timing, and power realities back into the architecture and internal AI systems.
  • Define and maintain interface specifications for AMBA AXI4/AXI5, ACE/ACE-Lite, CHI, AXI-Stream, custom sideband channels for quality of service and ordering, and high-speed SerDes-facing interfaces for off-chip links.
  • Build and maintain RTL infrastructure for the in-house AI-driven flow, including design-automation scripts, network-on-chip configuration generators, regression flows, lint/clock-domain-crossing waivers, and integration collateral for the interconnect subsystem.
  • Support verification bring-up with interconnect reference models, protocol compliance checkers, SystemVerilog Assertions for ordering rules and deadlock freedom, coverage plans targeting corner-case traffic scenarios, and architectural documentation for verification closure.
  • Guide software and machine-learning experts in revising and improving the in-house AI flow based on interconnect domain expertise, particularly around traffic modeling and fabric configuration optimization.
  • Support FPGA prototyping on Xilinx for early functional validation of the fabric, including multi-master traffic generation and performance characterization on FPGA platforms.

Desired Qualifications

  • 10 or more years of RTL design experience.
  • Experience with coherent multi-chip or multi-die interconnect architectures, including chiplet-based designs, UCIe, or BoW.
  • Familiarity with hardware coherence protocols, including MOESI/MESIF state machines, snoop-filter design, and directory-based coherence.
  • Experience with network-on-chip research, including adaptive routing, congestion management, topology optimization, or formal deadlock analysis.
  • Experience with low-power interconnect design techniques, including clock-gating idle ports, power-gating unused links, link-level power states, and dynamic frequency/width scaling.
  • FPGA prototyping experience with Xilinx Vivado/Vitis, especially AXI interconnect IPs, network-on-chip IPs, or custom fabric implementations.
  • Experience using SystemVerilog Assertions for protocol compliance, including AXI ordering rules, CHI transaction flows, deadlock detection, and livelock/starvation monitors.
  • Prior IP building and delivery experience for network-on-chip IPs, AXI interconnect IPs, PCIe controllers, or CXL endpoint/switch IPs.
  • Experience building or using network-on-chip simulators such as BookSim or Garnet, or system-level traffic models to validate fabric microarchitecture.
  • Publications or patents in on-chip networks, interconnect architectures, or high-performance data movement for machine-learning or high-performance-computing workloads.

About the Company

Architect Labs

AI-driven automated ASIC chip design platform

Architect Labs develops AI-powered tools to automate and speed up ASIC design for the semiconductor industry. It combines artificial intelligence with an integrated workflow for hardware exploration, SystemVerilog construction, verification, and physical design to produce end-to-end, verified chip designs. The platform aims to discover new architectures and generate ready-to-tute designs that are validated for modern machine learning workloads, enabling hardware/material co-optimization between AI models and specialized silicon. Compared to traditional EDA and ASIC design services, Architect Labs focuses on AI-guided architecture search, automated verification, and full-stack co-design to reduce time, cost, and labor in chip development. The goal is to shorten multi-year design timelines, lower upfront costs, and empower more specialized, high-performance silicon for data centers, automotive, robotics, and edge applications.

Company size
11-50
Company stage
Seed
Total funding
$24M
Headquarters
Palo Alto, CA
Founded
2025

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