Jobs at Lumai

Build and own Python-based performance and power modelling frameworks for photonic AI hardware. Model concurrency, event-driven behavior, compute, memory, interconnects, and accelerator blocks; characterize AI workloads against hardware and RTL results; consume MLIR and compiler outputs; analyze simulation traces and benchmarks; validate power models; maintain CI/CD and simulation flows; and guide architecture and compiler decisions while developing future team members.

Own the architecture, technical roadmap, design, verification, tapeout, and post-silicon bring-up of analog and mixed-signal IC blocks for a photonic AI accelerator. Lead and mentor a design team, establish methodology, manage foundry and PDK partnerships, and co-design photonic receiver interfaces and calibration systems with cross-functional teams. Communicate technical risks, schedules, and trade-offs to engineering leadership.

Own full-custom analog and mixed-signal layout for advanced CMOS blocks, applying precision matching, parasitic mitigation, floorplanning, and physical verification techniques. Drive DRC, LVS, PEX, ESD, and latch-up sign-off through tapeout, collaborate with circuit designers on back-annotated simulations, support post-silicon debug, and mentor junior engineers.

Design and maintain firmware, drivers, and RTOS-based control software for an AI accelerator. Lead BSP bring-up, implement deterministic RTOS tasks, debug hardware with JTAG/oscilloscope/logic capture, and establish coding standards and testing practices.

Develop and maintain low-level firmware, drivers, and RTOS-based control software for an AI accelerator. Perform BSP bring-up, bootloader configuration, hardware debugging (JTAG/GDB/oscilloscope), write firmware tests and CI, and document interfaces while collaborating with senior engineers and hardware teams.

Integrate and harden the Lumai Iris software stack for data-center deployments, support model onboarding and conversion, work with disaggregated prefill/decode runtimes, troubleshoot software issues in the field, enable and train customer ML and infra teams, and relay field feedback into product and engineering.

Own technical customer engagements for Lumai's optical compute inference platform: lead deep technical discovery, scope and run benchmarks, design solutions and reference architectures, produce proposals/RFIs/RFPs, deliver demos/workshops, and feed customer requirements into product and engineering roadmaps.

Lead integration, validation, and performance characterization of Lumai Iris server units; perform system bring-up and on-site troubleshooting in data centres; train operators and act as primary technical contact; feed deployment feedback into product and engineering.

Lead technical customer engagements for Lumai's optical compute inference platform: run deep discovery with hyperscalers and labs, map requirements to solutions, scope and run benchmarks/POCs, produce proposals/RFP responses, deliver demos and workshops, and feed customer insights into product and engineering roadmaps.

Lead Lumai's North American expansion by building strategic partnerships with hyperscalers, cloud providers, system integrators and data center operators. Drive go-to-market strategy, map ecosystems, represent the company at conferences, feed market insight into product and fundraising, and ultimately build and lead the regional business development team.

Lead and own the AI application software stack architecture for an optical AI accelerator: design SDK and inference runtime, drive framework integration and model optimisation, collaborate with hardware architects, mentor a growing distributed team, hire and deliver production-quality code.