Robotics Engineer, Logistics Automation

Meta•Fremont, CA

15h•$173,000 - $245,000•Onsite

About The Position

Meta is seeking a Robotics Engineer to join its Infra Robotics team, which implements advanced robotics technologies to enable efficient and safe data center operations. The role integrates robotics hardware and software into Meta’s data center logistics, spanning solution architecture, requirements gathering, system integration, verification and validation, concept of operations, product release (including site acceptance testing), and post-release support. The engineer collaborates closely with software, hardware, infrastructure, and logistics partners to improve operational efficiency and reduce risks across Meta’s global infrastructure. The role requires significant experience across the product development lifecycle, particularly in robotics and large-scale robotics applications such as warehouses, fulfillment centers, and factory automation. It involves hands-on work with large-scale automation systems and AGVs, analysis of operational workflows, robotics technologies, troubleshooting, and deployment of solutions. The position is full-time, based in Fremont, California, and requires 15% domestic and/or international travel to Meta data centers and offices.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
B.S. or M.S. in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or equivalent experience.
8+ years of experience in end-to-end management and product release of material-flow solutions.
5+ years of experience 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 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, including functional, use-case, stress, and regression testing, and release processes.
Familiarity with product field operational workflows.
Experience coding in higher-level languages such as 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 development of policies and procedures for robotics integration.
Mentorship experience for team members in product development and process improvement.

Nice To Haves

Hands-on systems engineering and architecture experience across the full product lifecycle, including definition, requirements, specification, design, integration, QA, NPI, field deployment, and operations.
Master’s degree in a relevant field.
Familiarity with data center technology stacks, including compute, network, storage, and software architectures.
Demonstrated ongoing AI skill development, such as prompt/context engineering or agent orchestration, and staying current with emerging AI technologies.
Knowledge of robotics technologies, including sensing, planning, navigation, decision-making, robot manipulation, ROS, and machine learning.
Experience designing and building automation and tooling for operational workflows.
Experience adhering to and implementing responsible, ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.
Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact, such as efficiency gains or quality improvements.
Understanding of system interactions across hardware, software, firmware, frameworks, networks, latency, and interfaces.
Experience standardizing incident response and crisis management plans.
Experience in large or complex system design, including robotics, industrial automation, or consumer electronics.

Responsibilities

Partner 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 product requirements and technical specifications; make software-versus-hardware tradeoffs and drive build-versus-buy decisions.
Collect, analyze, and interpret data center operational workflows using advanced tools to develop automation requirements and quantify risks and opportunities.
Lead the design and implementation of robotic material-handling solutions, including inventory movement, equipment transport, and automated storage and retrieval, with internal and external partners.
Lead software and hardware architecture reviews to identify and address design gaps and ensure system performance and scalability.
Drive proof-of-concept development and evaluation by building and testing prototypes to validate feasibility and operational improvements.
Test and validate software modules and systems using simulation tools and real-world 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, communicate findings, and drive mitigation and improvement plans with partners.
Define product release processes, including 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 data center peers and external organizations to stay current on industry trends and future directions.
Visit data center sites for engineering studies, robotics system audits, and collaboration with local subject matter experts.