Top Tech Jobs & Startup Jobs

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.

Build and own an internal manufacturing data platform, including a web portal, REST API, databases, automated pipelines, dashboards, data validation, traceability, cost and inventory tools, and reporting. Collaborate with engineering, test, operations, and supply-chain teams across sites; administer access, security, backups, and documentation; train users and drive adoption.

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.

Manages daily front-desk and office operations, including visitor reception, badges, mail and packages, meeting-room preparation, supplies, catering, vendors, maintenance requests, workplace events, and employee onboarding or offboarding. Provides reliable on-site coverage, maintains organized shared spaces, supports company meetings and visitors, and delivers administrative and operational support across teams.

Owns internal IT infrastructure and information security across cloud, SaaS, endpoints, identity, networking, Linux, firewalls, and hybrid systems. Manages Microsoft environments, security operations, vulnerabilities, incidents, vendors, technology costs, and compliance support. Partners with engineering on secure infrastructure, backups, business continuity, and AI tools. Automates workflows using scripting and independently drives technical issues and infrastructure improvements from identification through implementation.

Research and develop end-to-end sensing algorithms for robotics and Physical AI, spanning signal processing, detection, estimation, camera and image processing, computer vision, machine learning, and multisensor fusion. Prototype in Python and C/C++, validate against simulated and real-world sensor data, define performance KPIs, optimize algorithms for embedded platforms, and support hardware, firmware, silicon, customer integration, and product bring-up.

Develop and test signal-processing and perception algorithms for sensing systems, prototyping on FPGA and GPU platforms and transitioning solutions to silicon-optimized production implementations. Build digital twins, define algorithm specifications, evaluate system performance, bring up revised chipsets, and automate testing and engineering workflows. Collaborate with hardware, software, and systems teams across robotics and autonomous-systems development.

Design and implement complex digital SoC blocks and DSP pipelines from architecture through synthesis and mass production. Collaborate with backend, DFT, and verification teams; define specifications and test suites; debug designs and contribute to design methodologies, including AI-assisted tools. Participate in post-silicon validation and silicon bring-up. The role requires deep expertise in embedded and mixed-mode SoCs, Verilog, SystemVerilog, and logic synthesis.

Develop and integrate robotics algorithms and machine-learning systems for perception, state estimation, localization, mapping, sensor fusion, planning, control, and learned behaviors. Build and deploy autonomy software across mobile robots, robotic arms, quadrupeds, and humanoids. Integrate camera, LiDAR, and IMU data, optimize software for embedded and edge platforms, support real-robot testing and demos, and debug system-level autonomy issues.