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Develops and optimizes signal-processing algorithm pipelines for sensing products and hardware accelerators. Responsibilities include algorithm research, fixed-point modeling, MATLAB/Python simulation, performance validation, HW/SW partitioning, test-vector generation, silicon bring-up, and system integration. The role collaborates with digital front-end, verification, architecture, embedded DSP software, and systems teams to deliver production-ready solutions for applications including radar, LiDAR, robotics, and multimodal sensing.

Own end-to-end integration and productization of sensing modules for robotics, from requirements and prototyping through system bringup, engineering builds, production ramp, and field support. Define specifications, test coverage, traceability, and readiness criteria; lead cross-functional debugging, failure analysis, root-cause investigations, and customer engineering support across optics, silicon, electronics, mechanics, firmware, and software.

Three-month System Software Internship focused on developing and optimizing Jenkins and GitLab CI/CD pipelines, Groovy shared libraries, build automation, regression testing, and hardware-in-the-loop infrastructure. Responsibilities include managing Jenkins agents and Docker environments, improving pipeline reliability, migrating pipelines, building monitoring dashboards, troubleshooting embedded and application software builds, and documenting operational practices while collaborating with hardware, firmware, and software teams.

Develop platform firmware, board support packages, low-level drivers, bootloaders, hardware abstraction layers, and power-management systems for electro-optical sensing hardware. Bring up boards and SoCs, integrate RTOS and Linux drivers, debug hardware and firmware with laboratory tools, and optimize performance, memory usage, and real-time behavior while collaborating with silicon, hardware, and application teams.

Build and operate internal platform software, including data ingestion pipelines, backend APIs, AWS infrastructure, SDKs, dashboards, and analytics tools. Own systems end to end from architecture through deployment, monitoring, and incident triage. Partner with hardware, firmware, and manufacturing teams to deliver reliable tooling and make system design decisions involving schemas, APIs, storage, and scalability.

Build host-side SDKs, APIs, drivers, data pipelines, and developer tools for perception hardware. Develop cross-platform C/C++ and Python interfaces, optimize streaming performance, create samples and documentation, collaborate with firmware and perception teams, and support customer integrations and SDK debugging.

Design and optimize hard real-time firmware for sensing and control systems. Responsibilities include RTOS scheduling, IPC, synchronization, device drivers, middleware, SoC and board porting, latency and memory optimization, and debugging concurrency issues. The role collaborates with platform, DSP, and application teams while supporting embedded systems for robotics, mobility, and automation.

Develop and maintain end-to-end LiDAR and camera perception software for robotics platforms. Responsibilities include sensor drivers, ROS 2 packages, GPU-accelerated processing, calibration, synchronization, recording and playback tools, Docker environments, packaging, CI/CD, hardware-in-the-loop testing, and production release automation. The engineer will support integration issues and collaborate closely with hardware, silicon, algorithm, manufacturing, and customer teams.

Leads III-V photonic component manufacturing across Taiwan and Asia, from NPI and process qualification through pilot builds and high-volume production. Manages foundry, OSAT, and contract manufacturing partners; improves wafer, coating, testing, assembly, burn-in, yield, quality, capacity, and reliability. Establishes process controls, analyzes production data, drives corrective actions, supports DFM/DFT, coordinates supply, and reports ramp performance while collaborating with global engineering teams.

Build, align, integrate, and characterize optical subsystems and laboratory setups. Perform optical alignment, system validation, testing, troubleshooting, data analysis, and failure investigations. Develop Python-based automation and analysis tools, support sensor prototyping and manufacturing-process validation, document results, and collaborate with electrical, firmware, DSP, software, and mechanical engineering teams.