About the role. You design and implement the digital front-end RTL at the heart of the chip — including the high-speed datapath that moves data between UCIe and the optical front end. Guided by the interface specs and coding standards, you take blocks from micro-architecture through clean, timing-aware RTL and block-level verification. It's a hands-on role with room to grow your scope as the team and the chip mature.
What you'll do
Develop block-level micro-architecture for your assigned blocks, and contribute to interface and register definitions.
Design and implement front-end RTL blocks in SystemVerilog — datapath elements, the UCIe streaming/RDI adapter, elastic FIFOs, and supporting logic.
Integrate IP and support parameterization for configurability.
Write clean, lint-clean, CDC/RDC-clean RTL that follows the coding and quality standards.
Write block-level testbenches, sanity checks, and assertions (SVA) for your own blocks before handoff to DV.
Power- and timing-aware design — managing block activity, clock-gating, pipelining, and retiming; partner with the backend team on physical closure for your blocks.
Bring-up and debug across simulation and emulation / FPGA prototyping; support DV and silicon bring-up, including DFT/debug hooks in your blocks.
Collaborate with the architecture, modelling, DV, DFT, and backend teams as your blocks move through the flow.
Required
BS or MS in Electrical/Computer Engineering (or equivalent experience).
3+ years of digital RTL design in SystemVerilog, with blocks taken from micro-architecture through to verification handoff.
Solid digital design fundamentals: pipelining, FSMs, FIFOs, clock-domain crossing, and streaming/bus interfaces (e.g., AXI).
Lint and CDC/RDC discipline and clean-RTL practices.
Power- and timing-aware design practices; comfort with synthesis and timing closure, working with the backend team.
Strong debug skills in simulation; scripting in Python, Perl, or TCL.
Preferred
High-speed datapath, SerDes-adjacent, or interface design exposure (UCIe, PCIe/CXL, or similar).
FEC/coding datapath familiarity (e.g., Reed-Solomon) and gray-code mapping.
Assertion-based verification (SVA) and familiarity with UVM block-level testbenches; emulation / FPGA prototyping experience.
Exposure to scale-up / scale-out interconnects or network switch / NIC / memory-controller datapaths.
This hands-on IC/RTL Design Engineer role develops digital front-end logic for a chip, from block micro-architecture through timing-aware RTL and verification handoff. The work centers on datapath and interface blocks, including a UCIe adapter, with collaboration across design, verification, and backend teams.
Role at a glance
Digital front-end RTL designBlock micro-architectureSystemVerilog implementationDatapath and interface logicBlock-level verificationPower- and timing-aware design
Define block micro-architecture and contribute to interface and register specifications.
Implement SystemVerilog datapath, UCIe streaming/RDI adapter, FIFO, and supporting logic; integrate and parameterize IP.
Produce lint-clean and CDC/RDC-clean RTL that follows design and quality standards.
Build block-level testbenches, sanity checks, and assertions before verification handoff.
Apply power and timing techniques such as activity management, clock gating, pipelining, and retiming; work with backend engineers on physical closure.
Debug through simulation and emulation or FPGA prototyping, and support design verification and silicon bring-up, including DFT/debug hooks.
Coordinate block progress with architecture, modeling, verification, DFT, and backend teams.
Good fit signals
You have at least three years of digital RTL design experience using SystemVerilog, including blocks carried from micro-architecture to verification handoff.
You bring solid digital design knowledge spanning pipelining, FSMs, FIFOs, CDC, and streaming or bus interfaces.
You are comfortable with lint and CDC/RDC practices, synthesis, timing closure, and simulation debugging.
You can script in Python, Perl, or TCL; experience with high-speed interfaces, verification methods, or optical/interconnect datapaths is an advantage.
Meet Lumilens
Lumilens is a San Jose-based photonics company building optical interconnect infrastructure for large AI data centers. Its LumiCore platform combines in-house silicon photonics, mixed-signal ICs, electrical-optical interposers and optical systems to power pluggable transceivers, near-package optics and co-packaged optics. These products address scale-out networking between racks and scale-up connectivity between GPUs, where copper links face bandwidth and distance limits. Lumilens also develops proprietary manufacturing processes, robotics and automated testing for high-volume optical production. The company emerged from stealth in 2026 and is already shipping its first scale-out product into a hyperscaler's production AI data centers under a multi-billion-dollar customer agreement.
Founded
2024
Company size
51-200 employees
Company stage
Not known
Headquarters
San Jose, USA
Why work here
Lumilens offers candidates the opportunity to work on silicon photonics, mixed-signal ICs, optical systems, embedded software, robotics and high-volume manufacturing for AI infrastructure. The company has raised more than $900 million, reached a $5.51 billion valuation and is already shipping products into a hyperscaler's production data centers under a multi-billion-dollar agreement. Its careers material emphasizes significant technical ownership, hands-on collaboration and work across system boundaries. The company is rapidly expanding engineering and manufacturing teams across the US, India and Asia, creating scope to work on products moving from silicon design through qualification and large-scale production.
Industry
Silicon Photonics / AI Data Center Optical Interconnects
Mayfield, Spark Capital, Atreides Management, Bain Capital Ventures, Meritech, Seligman Ventures, Peak XV Partners, Qualcomm Ventures, Addition, Redpoint Ventures
Tech stack
Python
Programming Language
C++
Programming Language
C#
Programming Language
MATLAB
Engineering Computing
SystemVerilog
Hardware Description Language
UVM
Hardware Verification
Cadence Virtuoso
EDA
Synopsys HAPS
FPGA Prototyping
Linux
Operating System
Microsoft Azure
Cloud Infrastructure
GitHub Actions
CI/CD
SolidWorks
Mechanical CAD
Key people
5 people
ASAnkur SinglaCEO & FounderView bioHide bio
Founder and CEO of Lumilens and a repeat networking entrepreneur. Singla previously founded Contrail Systems, acquired by Juniper Networks, and Volterra, acquired by F5, and earlier served as CTO at Aruba Networks. He holds an MS in Electrical Engineering from Stanford University and a BS from the University of Southern California.
RKRitesh KapahiVP/GM India & FounderView bioHide bio
Co-founder and VP/GM India at Lumilens. Kapahi has more than two decades of networking and hardware engineering experience and previously served as Vice President of Engineering at Cisco after senior engineering roles at Aruba. He studied Electrical and Electronics Engineering at BITS Pilani and completed Cornell's CXO Leadership Program.
Co-founder and VP Products at Lumilens. Liu previously held optical-networking product leadership roles at Marvell and Inphi and has experience scaling high-speed optical and signal-processing products. He holds a BS in Optical Engineering from Zhejiang University and a PhD in Electrical Engineering from Illinois Institute of Technology.
DFDavid FriedmanVP Operations & FounderView bioHide bio
Co-founder and VP Operations at Lumilens. Friedman previously co-founded and led IoT platform company Ayla Networks and held roles spanning wireless technology, semiconductors, business development and operations. He studied at the University of Michigan's Ross School of Business and leads operational scaling at Lumilens.
Co-founder and CTO of Lumilens. Schmidt previously served as a senior distinguished engineer at Juniper Networks, where he led work in silicon photonics, co-packaged optics and optical integration following Juniper's acquisition of silicon-photonics company Aurrion. He leads Lumilens's core photonics technology development.
Lumilens Emerges from Stealth with More Than $900 Million in Funding to Break AI's Connectivity Constraint
Lumilens·
Lumilens emerged from stealth after raising more than $700 million in new financing, bringing total funding above $900 million at a $5.51 billion valuation. It also disclosed that its first scale-out product was shipping into a hyperscaler's production AI data centers under a multi-billion-dollar customer agreement.
POET Technologies and Lumilens Advance Wafer-Level Photonic Integration for Next-Generation AI Optical Networks
POET Technologies·
POET Technologies and Lumilens announced a joint development and supply agreement for wafer-level electrical-optical interposer technology spanning 800G and 1.6T pluggable transceivers and future NPO and CPO systems. Lumilens placed an initial $50 million purchase order tied to the program.