Ethernet Scale-Up Design Lead/Principal Engineer

TYLsemiSan Jose, CA
$237,500 - $286,000

About The Position

TYLsemi is developing purpose-built connectivity chiplets for HPC/rack-scale AI systems. We are seeking a Principal Engineer Ethernet Scale-up to lead the architecture and design of next-generation Ethernet Scale-Up Networking (ESUN) solution. This is a high-impact technical role.

Requirements

  • 15+ years of ASIC/SoC architecture and design experience.
  • Proven track record delivering networking, NIC, switch, DPU, accelerator interconnect, or high-speed connectivity silicon.
  • Deep expertise in SystemVerilog/RTL design and high-performance datapath architecture.
  • Strong knowledge of Ethernet, RDMA, traffic management, congestion control, and scalable fabric architectures.
  • Experience across the full ASIC lifecycle, from architecture to production silicon.

Nice To Haves

  • Ultra Ethernet, UALink, RoCEv2, InfiniBand
  • PCIe Gen6/Gen7, UCIe, CXL
  • AI/HPC interconnects and collective communication acceleration
  • 400G/800G/1.6T Ethernet systems
  • High-speed SerDes and advanced networking architectures

Responsibilities

  • Define architecture for Ethernet-based AI scale-up interconnects and accelerator fabrics.
  • Lead development of high-performance Ethernet Subsystem microarchitectures including RDMA, packet processing, network offload, traffic management, congestion control, and reliability mechanisms.
  • Drive execution from architecture through RTL, verification, physical design, silicon bring-up, and production.
  • Optimize performance, latency, scalability, power, and reliability for demanding AI and HPC workloads.
  • Collaborate across hardware, firmware, software, and system teams to deliver industry-leading AI networking solutions.
  • Serve as a company-wide technical leader, influencing product strategy, roadmap, and architectural direction.

Benefits

  • Define the future of AI infrastructure and rack-scale computing.
  • Own architecture decisions with company-wide impact.
  • Deliver technology that directly impacts AI performance, scalability, and efficiency.
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