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Meta is seeking a Robotics Manipulation Engineer to join our Infra Robotics team. This team implements advanced robotics technologies to enable efficient and safe data center operations. The Robotics Manipulation Engineer is responsible for driving the integration of industrial robotic arms and automated workcells into Meta’s infrastructure operations. This includes solution architecture, requirements gathering, system integration, programming, verification and validation, concept of operation (ConOps), product release (including site acceptance testing), hands-on commissioning, and post-deployment support. The role involves close collaboration with mechanical, electrical, and software engineering teams, as well as operations partners, to deliver robust, high-performance, and reliable automation solutions across Meta’s global infrastructure.
Job Responsibility:
Program and configure industrial robotic arms using OEM teach pendants and controller environments (e.g., ABB RAPID, FANUC TP, KUKA KRL, URScript), ensuring reliable and efficient operation
Integrate robotic arms with end-of-arm tooling, sensors, PLCs, and safety systems to deliver fully automated workcell solutions
Develop, test, and optimize motion paths, calibration routines, and IO logic to achieve consistent, high-performance automation
Lead on-site bring-up, commissioning, and troubleshooting of robotic systems, driving rapid resolution of technical issues
Collaborate with mechanical, electrical, and software teams to define system requirements, architecture, and technical specifications
Build and maintain robust interfaces between robot controllers and higher-level software platforms using C++, Python, or similar languages
Perform system diagnostics, analyze failure modes, and lead root cause analysis and mitigation efforts to ensure system reliability
Develop and execute testing strategies, including functional, stress, and regression testing, to validate robotic solutions against requirements
Contribute to the creation and standardization of scalable engineering processes, tools, and best practices for robotic workcell development and deployment
Support product release processes, including site acceptance testing, operational workflow documentation, and post-release support
Stay current with industry trends and emerging technologies in robotics, automation, and AI-driven motion planning
Mentor and support team members in technical development and process improvement initiatives
Visit Meta data center and infrastructure sites for engineering studies, system audits, and collaboration with local subject matter experts
Requirements:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6+ years of experience with industrial robotic arms in production or R&D environments, including hands-on programming and integration
Proficiency in at least one major robot programming ecosystem (ABB, FANUC, KUKA, UR, Yaskawa, etc.)
Experience with field integration, commissioning, and troubleshooting of robotic workcells and automation systems
Practical experience of mechatronic systems, including mechanical design, electrical hardware, sensors, and motion control
Experience developing automation-adjacent software (C++, Python, or similar languages)
Familiarity with safety standards and best practices for industrial automation and robotics
Effective communication and leadership, and skills, with the ability to collaborate across cross-functional teams
Technical troubleshooting and data analytics skills
Ability to travel up to 15% domestically and internationally as required
Nice to have:
Master’s in a relevant field
Experience with ROS or ROS 2 for robotic system integration and development
Experience with NVIDIA Isaac, simulation, or GPU-accelerated robotics tools
Familiarity with machine learning/AI-based motion planning, adaptive control, or advanced automation algorithms
Experience with vision-guided robotics, force control, or advanced sensing technologies
Experience developing and standardizing automation processes, safety protocols, and scalable deployment practices
Knowledge of data center technology stacks (compute, network, storage, software architectures) is a plus
Experience mentoring team members and driving process improvements in automation engineering