Karl Muecke

About Karl Muecke

Transformational technology leader driving innovation and business growth through strategic vision, technical expertise, and collaborative leadership. Proven track record of building high-performing teams, driving technical strategy, and delivering complex solutions that drive business results. Skilled at navigating complex technical landscapes, fostering cross-functional partnerships, and developing talent. Expertise in scaling data infrastructure and pipelines for ML to drive business insights and decision-makingSpecialties-Building, leading, and managing teams and organizations-Identifying, developing, coaching, and mentoring leaders-Scaling distributed solutions with massive data throughput and reliability requirements-Cross-functional collaboration-Planning, executing, and delivering high-visibility high-impact projects-Commercializing and productizing robotics and automation technologiesIndustries-Tech / Technology-Autonomous vehicles-AR/VR-Industrial automation-Mining-Military-Agriculture-ConsumerOther keywords-Management, software engineering, leadership, products-Data analysis, ML pipelines-Perception-Autonomous system design and integration-Kinematics, dynamics, controls, autonomy, and novel robot locomotion-Robust localization for GPS denied environments-Collision avoidance-Large-scale accurate 3D point cloud mapping and meshing: graph optimization, cloud registration, sensor calibration, cloud meshing/surfacing, cloud filtering, GPU optimization, cloud classification, accuracy and precision test and validation

Experience

1. Senior Engineering Manager

   Meta

   Mar 2024 — Present · Pittsburgh, PA, US

   Scope: Leading teams of software engineers (C++/ Python), hardware engineers, research scientists, and research engineers. Creating large-scale data platforms and infrastructure; distributed systems, tooling for operation, networking, logging, data monitoring, data analysis, and reporting. Data used for Machine Learning pipelines and building consumer products.Leadership: Setting technical direction and strategy to maximize impact for direct teams, cross-functional partners, and the organization/business. Designing, creating, and maintaining an organization the best supports business outcomes.Managing and coaching: Coaching, developing, and managing other managers and senior ICs; managing individual performance; managing out low-performers; finding and hiring hard-to-find top talent through recruiter collaboration, targeted interview construction/execution, and leveraging personal professional networksKey areas: Data generation for ML training; distributed system management, control, and coordination; hardware-in-loop testing and continuous integration; data analysis, scaling novel camera/audio capture systems, data visualization

Education

• Carnegie Mellon University - Tepper School of Business

  Master of Business Administration - MBA

  2020

• Virginia Tech

  Doctor of Philosophy (Ph.D.), Mechanical Engineering

  2006 — 2009

• Virginia Polytechnic Institute and State University

  Bachelor of Science (B.S.), Mechanical Engineering

  2003 — 2006

Skills

• Software Engineering
• Algorithms
• C++
• Mechanical Engineering
• Embedded Systems
• Linux
• Point Cloud Library (Pcl)
• Matlab
• Visual Studio
• Collision Avoidance
• Mechatronics
• Localization
• Communication Skills
• Robotics
• Slam
• Mathematica
• Cad
• Machine Vision
• Solidworks
• Path Planning
• Automation
• Commercialization
• 3d Environment Simulation
• Labview
• Data Acquisition
• Windows
• Technical Writing
• Mapping