
Leading Edge AI Network Architect
1 week ago
At our organization, we seek an accomplished IP/RTL Design Engineer to develop and refine intellectual property (IP) and RTL for high-performance Ethernet switches tailored for AI datacenter backend networks. The ideal candidate will have a solid background in digital design, ASIC/FPGA development, Ethernet protocols, and experience with high-speed interconnect protocols such as InfiniBand, NVLink, Infinity Fabric, focusing on delivering low-latency solutions for large-scale AI workloads.
The primary responsibilities of this role include:
- Designing and optimizing IP blocks (MAC, PCS, packet processors) for Ethernet switches.
- Developing synthesizable RTL (Verilog/SystemVerilog) meeting performance and timing goals.
- Optimizing designs for low latency, high throughput, and power efficiency.
- Implementing Ethernet protocols (IEEE 802.3, 100G/400G/800G), ECMP, and congestion control.
- Applying knowledge of InfiniBand, NVLink, or similar protocols for feature implementation.
- Utilizing P4 or related languages for programmable packet processing.
- Collaborating with teams for synthesis, timing closure, and IP integration.
- Documenting designs and staying updated on AI networking trends.
The required qualifications for this role include:
Education & Technical Skills- Education: Bachelor's/Master's/Ph.D. in Electrical or Computer Engineering.
- Technical Skills:
- Proficient in Verilog/SystemVerilog for design.
- Knowledge of Ethernet (IEEE 802.3, 100G/400G/800G), ECMP, and congestion control.
- Experience with InfiniBand, NVLink, or similar protocols.
- Proficiency in P4 or programmable data plane languages.
- Knowledge of UALink, Ultra Ethernet, or RDMA/RoCE.
- Familiarity with power optimization or SDN.
- Familiarity with synthesis (e.g., Synopsys Design Compiler) and timing tools.
- Strong problem-solving, communication, and teamwork skills.
By taking on this role, you will be part of a team working on cutting-edge projects aiming to deliver high-performance, low-latency solutions for large-scale AI workloads.
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