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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.

Own and operate end-to-end ML pipelines from research to hardware-validated production. Build experiment tracking, CI/CD, benchmarking, observability, and resource scheduling for on-prem accelerator clusters and cloud. Collaborate with ML researchers, compiler and hardware teams to optimise models, automate testing, and enable reproducible, hardware-in-the-loop deployments.

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.