L

Lumilens

Photonic interconnects for AI infrastructure

RTL Design Lead/IC Front-End Architect/Datapath Lead

Silicon & ASIC DesignConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of experience in digital design and micro-architecture, including lead ownership of a high-throughput datapath or SerDes-adjacent system-on-chip.
  • Experience designing the datapath of a network switch, network interface card, or memory controller at a major XPU or fabric vendor, or an equivalent high-throughput, high-reliability datapath.
  • A solid understanding of scale-up versus scale-out interconnect architectures and their bandwidth and latency trade-offs.
  • Strong SystemVerilog RTL skills and timing-aware micro-architecture experience at multi-hundred-gigabits-per-second aggregate rates, with disciplined clock-domain crossing practices.
  • Working knowledge of UCIe, PCIe, and CXL datapath concepts and high-speed lane alignment and deskew.
  • Proven ownership of front-end design methodology, including lint and CDC/RDC signoff, clocking and reset architecture, design-for-test, and physical-closure collaboration.
  • A track record of translating system requirements into an implementable and verifiable architecture specification.

Responsibilities

  • Own verification end to end for a first-of-its-kind chiplet and define the verification methodology, coverage strategy, and regression infrastructure before RTL is available.
  • Define the digital front-end micro-architecture, block partitioning, interfaces, and architecture specification implemented by the RTL team.
  • Establish front-end RTL coding standards, lint, CDC/RDC signoff, and clean-RTL policy across the team.
  • Own the high-speed datapath, including per-lane alignment, deskew, multiplexing, the UCIe streaming/RDI adapter, elastic FIFOs, and custom logic.
  • Own transport and link framing, mapping, and adaptation logic.
  • Develop timing- and floorplan-aware micro-architecture through pipelining, retiming, and partitioning for physical closure at multi-hundred-gigabits-per-second rates in collaboration with the backend team.
  • Define clocking, reset, and low-power architecture, including clock and reset domains, gating strategy, and UPF power intent.
  • Establish designer-level verification through block-level testbenches, sanity checks, and assertion coverage using SystemVerilog Assertions before handoff to design verification.
  • Provide architectural design-for-test and debug provisioning, including scan-friendly structure and on-die observability and controllability, in collaboration with the DFT and DV leads.
  • Own IP integration and interface/register conventions, including parameterization for configurability across lane counts and configurations.
  • Make architectural trade-offs with the modelling lead regarding latency, buffering, datapath sampling, and observability, and with the DV lead regarding verifiability and debug.
  • Lead, grow, and mentor the front-end design team as the group scales across datapath, interfaces, and integration.

Desired Qualifications

  • Experience with UCIe, PCIe, CXL, or CHI interface architecture and die-to-die or chiplet designs.
  • Familiarity with FEC/coding datapaths, including Reed-Solomon, and gray-code mapping.
  • Background in optical transceivers, co-packaged optics, or linear-drive optics.
  • Experience with advanced-node N5, N3, or N2 design.

About the Company

Lumilens

Photonic interconnects for AI infrastructure

Lumilens designs and manufactures optical interconnect products to accelerate AI infrastructure. It provides high-density photonic interconnects—such as high-density pluggable, near-packaged, and co-packaged optics—built with in-house silicon photonics to scale GPU clusters in AI data centers. Its products include 800G and 1.6T optical transceivers for AI networking, and it is pursuing broader integration like Electrical-Optical Interposers through a strategic partnership with POET Technologies. The company differentiates itself through vertical integration, custom robotics-driven manufacturing, and AI-optimized production processes that aim to improve yield and supply chain stability. Lumilens targets hyperscalers and large AI providers, seeking to move interconnect bottlenecks from compute to scalable, efficient data-center networks. Its goal is to enable faster, denser GPU connectivity to support growing AI workloads and models.

Company size
51-200
Company stage
Series C
Total funding
$839.5M
Headquarters
San Jose, CA
Founded
2024

Recently Posted Jobs

Explore more opportunities at Lumilens

See more jobs