Staff Robotics System Engineer

Description Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing ecommerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. Job Overview Global Operations Automation and Robotics Technology (GO ART) is the Zero-One organization within Coupang chartered to design, build, and deploy the most advanced fulfillment and transportation automation and robotics solutions in the industry. We are transforming Coupang's logistics network through in-house robotics, computer vision, and AI — at a scale and speed unmatched in Asian e-commerce. The team is based in Mountain View, Seattle, and Seoul.  We are seeking a Staff Robotics System Engineer to develop robust, high-performance autonomy software for real-world robotic systems. In this role, you will own the full-stack development and production deployment of autonomous robotics systems, bridging perception, planning/control, hardware, WMS, and enterprise workflows at scale.  You will work closely with multidisciplinary teams spanning hardware, perception, plan & control, WMS, and product engineering to deploy robotic capabilities in industrial environments. The ideal candidate combines deep expertise in robotics algorithms with a systems-level mindset and hands-on experience taking solutions from prototype through validation and production deployment.   Key Responsibilities Lead the architecture, design, and integration of full-stack robotics systems, coordinating across perception, planning/control, and hardware subsystems  Define system requirements, interfaces, and data contracts between perception ML, Plan and Control teams; ensure seamless integration  Own the design and implementation of control logic orchestration using Groot and ROS2, enabling flexible and maintainable behavior trees for robot autonomy  Own the robotics software infrastructure including drivers, middleware (ROS/ROS2), simulation environments, and system-level tooling  Own the integration of robotics systems with Coupang WMS and operational workflows; design APIs and data models to enable bidirectional communication  Build and maintain production-quality robotics software.  Develop simulation, testing, and validation workflows that assess safety, robustness, latency, repeatability, and task success across representative operating conditions.  Lead system-level debugging and troubleshooting across hardware-software boundaries; drive root cause analysis when issues span multiple teams  Own deployment pipelines, containerization, and edge compute optimization for production robotics systems  Define system SLAs/SLOs (e.g., latency, throughput, availability, accuracy) and establish metrics to track performance against these targets  Implement monitoring, observability, and alerting systems to track system health, bottlenecks, and SLO compliance across all subsystems  Contribute to technical roadmaps, architecture decisions, code reviews, documentation, and engineering best practices.  Mentor and provide technical guidance to junior and mid-level engineers; establish engineering best practices and standards  Basic Qualifications B.S., M.S., or Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related fields.   8+ years of hands-on experience in robotics systems engineering, with demonstrated progression in scope and ownership  Deep proficiency in Python for real-time and systems-level robotics development  Proven track record of integrating hardware peripherals (cameras, sensors, PLCs, etc.) into production robotics systems  Strong experience with ROS/ROS2 ecosystem including custom message types, services, nodes, and lifecycle management  Experience integrating and debugging a full robotic system across software, sensors, actuators, middleware, simulation, and hardware.  Real-world industrial robotics experience, including deploying, validating, or supporting robots in manufacturing, logistics, warehousing, inspection, service, or comparable operational environments.  Strong analytical, communication, and cross-functional collaboration skills.  Preferred Qualifications Experience with edge AI inference pipelines and GPUs.  Experience with development and deployment of AI Inference Servers, eg. Triton, vLLM.  Expertise in modern GPU-accelerated planning, differentiable optimization, sampling-based planning, model predictive control (MPC), whole-body control, or real-time trajectory generation.  Understanding of computer vision and perception system requirements (latency, accuracy, throughput)  Familiarity with CI/CD systems and DevOps practices for robotics (e.g., Docker, containerized deployments)  Experience in warehouse automation, industrial robotics, or logistics environments  Experience with observability tools and f