Microarchitect / RTL Design - Interconnect & Fabric

About this role

ABOUT ARCHITECT

Architect is a frontier AI lab for chip design. We build AI models and tools for on-demand custom ASICs at scale. Our goal is to co-design custom ASICs alongside evolving ML workloads, and enable a new era of domain-specific chips that unlock capabilities impossible with current hardware paradigms. Born out of Stanford Research, our team blends AI with Silicon with a founding team from Anthropic, Google DeepMind, Meta SuperIntelligence, xAI, Apple and Intel.

WHAT YOU’LL DO

As a Founding Member of the Technical Staff on the RTL Design team at Architect, you’ll own the AI-driven microarchitecture and RTL design of the on-chip interconnect fabric and high-speed I/O data movement subsystems going into production silicon. You will define, drive, and revise the block-level micro-architecture specification for NoC routers, crossbar switches, high-speed fabric bridges, and peer-to-peer data transfer engines — ensuring low-latency, high-bandwidth, and deadlock-free communication across all SoC agents.

CORE RESPONSIBILITIES

- Own the on-chip fabric RTL end-to-end: from NoC topology and router microarchitecture through code generation, lint, CDC, synthesis, and timing closure using our AI-driven design flow.

- Design and implement AMBA-based interconnect fabrics: including AXI/ACE/CHI-compliant crossbar switches, network interfaces (NIs), protocol converters (AXI-to-CHI bridges, AXI-to-AHB/APB downconverters), and multi-layer interconnect configurations optimized for ML accelerator traffic patterns.

- Architect NoC routers and topologies: including virtual-channel routers, wormhole/flit-based switching, adaptive routing algorithms, QoS-aware arbitration (bandwidth regulation, latency-critical path prioritization), and deadlock-free network design for mesh/ring/tree topologies.

- Design high-speed I/O fabric bridges and peer-to-peer engines: including PCIe/CXL-to-fabric bridges, chip-to-chip interconnect logic (UCIe, custom die-to-die links), peer-to-peer DMA controllers for direct device-to-device transfers bypassing host memory, and coherent/non-coherent multi-chip fabric extensions.

- Work directly with the principal architect to refine microarchitectural specs, resolve implementation trade-offs (latency vs. bandwidth vs. area, coherence overhead vs. performance), and feed area/timing/power realities back into the architecture and internal AI systems.

- Define and maintain interface specifications: AMBA AXI4/AXI5, ACE/ACE-Lite, CHI (with snoop filter interfaces), AXI-Stream for streaming datapaths, custom sideband channels for QoS/ordering, and high-speed SerDes-facing interfaces for off-chip links.

- Build and maintain RTL infrastructure for our in-house AI-driven flow: design automation scripts, NoC configuration generators, regression flows, lint/CDC waivers, and integration collateral for the interconnect subsystem.

- Close collaboration with DV: Support verification bring-up with interconnect reference models, protocol compliance checkers (AXI/CHI protocol monitors), SVA assertions for ordering rules and deadlock freedom, coverage plans targeting corner-case traffic scenarios (multi-master contention, QoS starvation), and architectural documentation for verification closure.

- Close collaboration with SW and ML: Support and guide our SW and ML experts to revise and improve our in-house AI flow based on your 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.

WHAT WE’D LIKE TO SEE

REQUIRED QUALIFICATIONS

- Degree: Bachelor’s, Master’s, or PhD in Electrical Engineering, Computer Engineering, or a closely related field.

- Experience: 5+ years (10+ preferred) in RTL design with at least one advanced-node tapeout experience involving on-chip interconnects, NoC fabrics, or high-speed I/O subsystems.

- AMBA Protocol Expertise: Deep familiarity with ARM AMBA protocol suite — AXI4/AXI5 (channel mechanics, burst types, ordering, exclusive access), ACE/ACE-Lite (coherence transactions, snoop channels), CHI (request/response/data/snoop flits, home nodes, snoop filters), and legacy AHB/APB for peripheral integration.

- NoC/Fabric Design: Hands-on experience designing or owning crossbar switches, NoC routers, or multi-layer interconnects including arbitration schemes (round-robin, priority, age-based, bandwidth-regulated), virtual channel management, flow control (credit-based, ready/valid), and QoS mechanisms.

- High-Speed I/O Integration: Experience with HSIO bridge logic — PCIe root complex/endpoint bridge design, CXL.io/CXL.mem/CXL.cache http://CXL.io/CXL.mem/CXL.cache protocol translation, or custom chip-to-chip links (UCIe, proprietary die-to-die) including link-layer protocols, credit management, and replay/retry logic.

- Peer-to-Peer Data Movement: 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.

- SystemVerilog: Clear, synthesizable, lint-clean RTL with strong design habits — parameterization for configurable port counts and data widths, modularity for hierarchical fabric composition, and configurability for different topology and QoS instantiations.

- SoC Methodology: Solid grasp of synthesis, timing constraints (especially for wide crossbar paths and high-radix switches), clock domain crossings (fabric-to-IP clock boundaries, async bridge design), reset strategies, and power management for interconnect logic.

- Python: Strong skills for design automation, traffic generation/analysis, NoC configuration scripting, regression infrastructure, and tooling.

- PPA Ownership: Experience taking an interconnect or fabric block from RTL through synthesis and working…