Senior Network-on-Chip (NoC)/Fabric Engineer
Senior Network-on-Chip (NoC)/Fabric Engineer
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
US Citizen or US Permanent Resident
San Jose California or remote from any US location
Responsibilities
Architect the on-chip interconnect fabric for AI SoCs and/or chiplets supporting high-throughput communication between compute memory DMA and IO blocks.
Define and model topology (mesh ring crossbar hierarchical) and routing schemes for performance and scalability.
Develop and maintain high-quality Verilog/SystemVerilog RTL for custom system interconnect fabrics; own full RTL design cycle including coding integration of third-party IPs synthesis readiness and lint/sanity checks.
Develop policies for flow control congestion avoidance and traffic prioritization (QoS) across heterogeneous traffic classes.
Collaborate with compute memory and accelerator IP teams to define interface protocols (AXI custom NoC) and bandwidth requirements.
Perform performance modeling/analysis simulation and tradeoff analysis for latency throughput area and power.
Drive microarchitectural choices around buffer sizing arbitration logic reset schemes and clock gating.
Partner with synthesis and verification teams to guide block-level implementation and testbench coverage.
Support multi-chiplet and package-level interconnect strategies including die-to-die fabrics chiplet tiling or optical/electrical bridges.
Monitor technology trends (e.g. CXL UALink advanced packaging) and propose integration opportunities.
Requirements:
MS or PhD in Electrical Engineering Computer Engineering or related field.
8 years of experience in SoC architecture with 3 years focused on NoC/Fabric design.
Proficiency in Verilog/SystemVerilog with hands-on experience designing and integrating complex SoC subsystems including bus fabrics and third-party IPs.
Strong grasp of computer architecture interconnect theory and hardware dataflow.
Hands-on understanding of bus protocols (AXI/APD/proprietary) and bus-level SoC integration.
Solid knowledge of performance/power tradeoffs and congestion bottlenecks in complex SoC designs.
Desired:
Experience building AI-specific SoCs GPUs or domain-specific accelerators.
Exposure to chiplet interconnects 2.5D/3D stacking or EMIB/CoWoS.
Familiarity with traffic modeling of ML workloads and how they influence NoC behavior.
Experience with EDA tools for NoC synthesis verification and signoff.
Proficiency in scripting (Python Tcl) for automation and data analysis.
Required Experience:
Senior IC
Employment Type
Full Time
