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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 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
Minimum Qualifications
- B.S. or M.S. in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, Robotics, or equivalent experience
- 10+ 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
Preferred Qualifications
- Master’s in a relevant field
- Hands-on system engineering and architecture experience across the full product lifecycle (definition, requirements, specification, design, integration, QA, NPI, field deployment, operations)
- Understanding of system interactions (hardware, software, firmware, frameworks, network, latency, interfaces)
- Experience in large/complex system design (robotics, industrial automation, consumer electronics)
- Knowledge of robotics technologies (sensing, planning, navigation, decision-making, robot manipulation, ROS, machine learning)
- Familiarity with data center technology stack (compute, network, storage, software architectures)
- Experience standardizing incident response and crisis management plans
- Experience designing and building automation and tooling for operational workflows
$208,000/year to $289,000/year + bonus + equity + benefits
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