Robotics Engineer, Logistics Automation
MetaPartner with infrastructure and logistics teams to understand operational requirements and identify opportunities for robotics and automation to improve efficiency and safety
Translate customer and operational needs into actionable product requirements and technical specifications. Make tradeoffs between software and hardware solutions, and drive build-versus-buy decisions
Collect, analyze, and interpret data center operational workflows using advanced tools to drive automation requirements and quantify risks and opportunities
Lead the design and implementation of robotic solutions for material handling (inventory movement, equipment transport, automated storage/retrieval) with internal and external partners
Lead software and hardware architecture reviews to identify and address gaps in solution design, ensuring performance and scalability of both software and hardware systems
Drive proof-of-concept development and evaluation, building and testing prototypes to validate feasibility and operational improvements
Conduct rigorous testing and validation of software modules and systems, employing simulation tools and real-world testing scenarios to verify functionality, performance, and safety requirements
Create engineering development plans and milestones, coordinating cross-functional teams to deliver R&D milestones on time and with high quality
Develop and execute testing strategies, leading QA/QC to verify and validate robotic solutions against product specifications and customer requirements
Lead root cause analysis for product failures, communicating findings and driving mitigation and improvement plans with partners
Define product release processes (field pilots, site acceptance testing, operational workflows, software version control) and post-release support strategies
Create and maintain product and technology roadmaps to drive ongoing innovation
Develop industry relationships with other data center peers and external organizations to remain current on industry trends and future directions
Visit data center sites for engineering studies, robotics systems audits, and collaborations with local subject matter experts
15% domestic and/or international travel required to Meta Data Centers/offices
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
B.S. or M.S. in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, Robotics, or equivalent experience
8+ years of experience in end-to-end management and product release of material flow solutions
5+ years in large-scale automation at factories, fulfillment centers, or similar industries using AGVs or similar robotic platforms
Expertise in relevant safety standards for material handling and logistics automation
Comprehensive understanding of robotics principles and concepts, including perception, motion planning, and control
Proven experience in collecting, analyzing, and interpreting operational workflows to drive automation requirements
Experience navigating ambiguity, pioneering new technology adoption, and deploying products for field operational success
Familiarity with hardware/software development and system integration for automation solutions
Familiarity with software version control and branching for medium-scale deployments
Familiarity with QA/QC testing (functional, use-case, stress, regression) and release processes
Familiarity with product field operational workflows
Experience coding in higher-level languages (e.g., Python, PHP, or C++)
Technical troubleshooting and data analytics skills
Effective communication, leadership, organizational, engineering, and program management skills
Experience building cross-functional relationships and influencing stakeholders at all levels, including policies and procedures for robotics integration
Mentorship experience for team members in product development and process improvement
Hands-on system engineering and architecture experience across the full product lifecycle (definition, requirements, specification, design, integration, QA, NPI, field deployment, operations)
Master’s in a relevant field
Familiarity with data center technology stack (compute, network, storage, software architectures)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Knowledge of robotics technologies (sensing, planning, navigation, decision-making, robot manipulation, ROS, machine learning)
Experience designing and building automation and tooling for operational workflows
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Understanding of system interactions (hardware, software, firmware, frameworks, network, latency, interfaces)
Experience standardizing incident response and crisis management plans
Experience in large/complex system design (robotics, industrial automation, consumer electronics)