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Integrate, debug, test, and validate embedded operating-system software for autonomous driving platforms. Responsibilities include Boot, hardware initialization, device drivers, Linux Kernel, user-space libraries, automated Python tests, CI systems, release management, and feature integration. The engineer will collaborate with Boot and OS development teams to automate testing, improve coverage, manage software changes, and isolate and resolve system-level issues across multiple projects.

Integrate, debug, test, and validate boot and Linux operating system components for autonomous driving platforms. Responsibilities include working with hardware initialization, device drivers, the Linux kernel, user-space libraries, automated Python tests, CI systems, feature and release management, and system-level integration across multidisciplinary teams.

Integrate, debug, test, and validate boot and Linux operating system components for autonomous driving platforms. Responsibilities include testing device drivers, kernel components, user-space libraries, hardware initialization, and automated Python tests. The role coordinates with development teams, manages releases and features across projects, and maintains CI systems to improve testing coverage and system-level reliability.

Own physical design blocks end to end from RTL and constraints through floorplanning, synthesis, place and route, timing analysis, optimization, and final GDS signoff. Collaborate with front-end design and architecture teams on RTL changes, design reviews, implementation flows, and PPA optimization. Responsibilities include scan insertion, UPF integration, lint and SpyGlass checks, and first-level block and top-level STA.

Design, develop, and maintain testing tools, data-processing scripts, and automation workflows for autonomous driving technologies. Perform AV test-data annotation and quality checks, analyze issues and root causes, support data collection and reproduction, and track resolutions through closure. Collaborate with global R&D, QA, and customer teams to improve testing efficiency, data quality, and product validation.

Develop embedded and real-time C++ and Python software infrastructure for Radar and LiDAR sensor platforms. Build integration, automation, testing, deployment, and monitoring frameworks across multiple hardware platforms. Troubleshoot system-level issues, perform root-cause analysis, optimize performance, and improve software reliability. Collaborate with software, firmware, DevOps, validation, infrastructure, and systems engineering teams to support perception algorithms and next-generation autonomous vehicle sensing.

Technical Project Manager responsible for coordinating autonomous-driving project execution across multiple teams and technical domains. Duties include establishing governance, maintaining integrated plans, tracking milestones and dependencies, managing risks and blockers, facilitating technical decisions, reporting to leadership, and improving delivery through automation, live status tooling, and AI-assisted workflows.

Lead technical program planning and execution across large cross-functional R&D projects. Coordinate stakeholders, remove obstacles, define metrics, drive decisions, and improve team processes. Communicate with senior technical and non-technical leaders and apply hands-on engineering experience to deliver complex platform and algorithmic products.

Design and develop autonomous-vehicle platforms from architecture and hardware design through board bring-up and product launch. Review schematics, layouts, and signal, power, and timing simulations; collaborate with hardware, software, and systems teams; troubleshoot complex integration issues; create lab test setups and procedures; and develop efficiency-enhancing tools.

Develop and deploy multi-camera vision localization algorithms combining deep learning and classical geometry to achieve centimeter-level vehicle localization on HD 3D maps. Design models (Transformers, GNNs, CNNs), prototype to production, analyze driving data, and improve robustness and map consistency under diverse conditions.