Executive Dossier // 13 Years Hyperscale Datacenter Robotics

Addison Hammer

Principal Systems Architect & Robotics Engineering Leader

Executive Summary

Hands-on technical leader and systems architect with 13+ years specializing in hyperscale datacenter robotics, manufacturing automation and machine vision, and distributed edge fleet infrastructure. Former Google Senior Staff / Area Lead with 20+ years total engineering experience spanning physical AI, robotic manipulation, datacenter thermal and mechanical constraints, trustless machine-vision verification, and zero-trust firmware deployments. Track record directing $20M+ annual CapEx/OpEx engineering programs, leading 35+ person multi-disciplinary engineering organizations, advising robotics ventures, and deploying autonomous systems across live global datacenter footprints.

13+ Years Datacenter Automation Led Google robotics and physical automation programs across live facilities from 2013 to 2026.
700+ Units Global Autonomous Fleet Architected edge software, telemetry, and zero-trust OTA platforms operating across global datacenter footprints.
12+ Products Production Robotics Directed concept-to-deployment engineering for physical AI and automated robotics across Google infrastructure and venture startups.

Core Competencies & Technical Arsenal

// HYPERSCALE SPECIALIZATION (13+ YRS)

Datacenter Facilities, Operations & Robotics

Hyperscale Datacenter Ops Accelerator Deployments and Maintenance Datacenter Infra Design Data Security DCIM Software and Strategy Datacenter Logistics Open Compute Project (OCP)
// AUTONOMY & VISION

Physical AI & Autonomous Robotics

Autonomous Mobile Robots (AMR) Visual SLAM AI Machine Vision Sensor Fusion PyTorch / CUDA ROS2 / Nav2 / MoveIt2 Kinematics & Motion Planning
// EMBEDDED & HARDWARE

Edge & Embedded Systems

NVIDIA Jetson (Orin/Thor) Embedded Linux / RTOS Microcontroller Firmware (C/C++) Hardware-in-the-Loop (HIL) Root-of-Trust Hardware Security
// LEADERSHIP & FLEET INFRASTRUCTURE

Hands-On Leadership & Fleet Systems

0-to-1 System Architecture Distributed Fleet Telemetry Technical Due Diligence Lean Eng Leadership Zero-Trust OTA Pipelines Golang / GCP / Kubernetes

Professional Experience

Hammer Labs LLC | Charleston, SC
2026 – Present
Principal Systems Architect & Fractional CTO
  • Advise datacenter operators, robotics startups, and venture funds on physical AI architecture, high-density AI cluster servicing constraints, edge compute integration (NVIDIA Jetson, ROS 2), and 0-to-1 engineering roadmaps.
  • Design and prototype production-grade edge hardware/software MVPs, reducing client development cycles by 40%.
  • Perform comprehensive technical due diligence, codebase evaluations, and architectural feasibility audits for seed and Series A investment syndicates.
Google | Charleston, SC & Global
May 2018 – 2026
Datacenter Robotics Area Lead (Senior Staff)
  • Defined the multi-year technical roadmap for global datacenter robotics, directing $20M+ annual CapEx/OpEx and leading a 35+ person cross-functional organization of software and robotics hardware engineers.
  • Represented Google within the Open Compute Project (OCP) Datacenter Facilities working group; led 'Design for Robotics' technical sessions in collaboration with Meta and Microsoft.
  • Directed Google's Robotics Startup Outreach & Partnership Program; sourced emerging hardware/software ventures, managed strategic vendor allocations, and negotiated production pilots inside live datacenters.
  • Architected and deployed an enterprise fleet management and telemetry platform (Golang, Python, GCP, Pub/Sub, Kubernetes) orchestrating 700+ autonomous edge devices globally with zero-trust OTA deployment pipelines.
  • Patented and deployed a trustless machine-vision verification system achieving 99.999% reliability, enforcing automated data-handling compliance and generating auditable logs across 27% of Google's global enterprise media operations.
  • Architected the software integration and fleet management system for Google's robotic hard disk lifecycle automation program.
  • Instructed and mentored 75+ engineers across the global organization on scalable software standards via 1,400+ technical code reviews.
Google | Charleston, SC
July 2013 – May 2018
Datacenter Automation TPM
  • Pioneered the initial datacenter automation roadmap, directing early cross-functional engineering teams in deploying automated disk erasure and physical hardware servicing platforms across global facilities.
  • Eliminated high-risk manual procedures with auditable automated workflows, achieving multi-million-dollar labor and compliance savings.

Venture & Advisory Leadership

X1 Pipeline | Charleston, SC
2024 – Present
Chief Technology Officer (Venture Partner)
  • Built the 0-to-1 technology architecture for an AI-driven venture due diligence platform; delivered investor pitches and participated in capital syndication rounds.
  • Architected automated LLM data-extraction pipelines processing 500+ monthly startup evaluations, compressing diligence workflows by 65%.
  • Directed a distributed team of 6 engineers across backend infrastructure, cloud APIs, and security compliance.
VisionAnchor | Ljubljana, Slovenia
2023 – 2026
Head of Technology (Advisor)
  • Directed technical architecture for a smart marine IoT platform; supported founders in investor presentations, fundraising strategy, and technical due diligence defense.
  • Supervised embedded C/C++ firmware, sensor fusion pipelines, and mobile edge interfaces, successfully transitioning hardware from prototype to production deployment.
  • Advised core founders on technical risk mitigation, roadmap prioritization, and pilot deployments.
VentureSouth | Charleston, SC
2024 – Present
Angel Investor & Technical Advisor
  • Evaluate early-stage deep-tech, robotics, and SaaS startup investment pitches, advising syndicate members on technical feasibility, engineering risk, and IP defensibility.

Founding & Early Career Experience

  • Aegisound, LLC | Head of Engineering (Employee #2) (2006 – 2011) — Bootstrapped engineering operations for an early-stage defense hardware startup; architected automated acoustic test cells, implemented ERP infrastructure, and built quality systems compliant with SBIR and U.S. Air Force contract mandates.
  • Robert Bosch GmbH | Automation / Maintenance Engineer (2012 – 2013) — Managed cycle uptime and industrial robotics across 100+ automated assembly stations.
  • Quadrant EPP | Manufacturing Engineering Manager (2011 – 2012) — Managed plant-wide automation and manufacturing engineering.

Granted Patents

US Patent (Granted) Assignee: Google LLC

Trustless Machine-Vision Automated Compliance and Media Verification Systems

Invented high-reliability optical verification architecture providing cryptographic audit trails and automated data-handling compliance for mission-critical hyperscale infrastructure.

US Patent (Granted) Assignee: Google LLC

Autonomous Robotic Systems and Methods for Datacenter Media Servicing and Lifecycle Operations

Invented robotic end-effectors, precision kinematics, and autonomous handling systems for automated server media servicing across global datacenter footprints.

Education & Academic Credentials

// GRADUATE DEGREE

Johns Hopkins University

M.S. in Mechanical Engineering

Focus: Robotics & Control Systems

// UNDERGRADUATE DEGREE

Virginia Tech

B.S. in Mechanical Engineering

Minor: Business Management (30+ Additional Credits)

Active Work & Technical Demos

// PRODUCTION CASE STUDY • GOOGLE LLC

Autonomous Hard Drive Servicing & Fleet Management

Autonomous Mobile Robots Fleet Orchestration (Golang/GCP) Machine Vision Compliance Zero-Trust OTA Open Compute Project (OCP)

Autonomous robotic platform replacing failed datacenter hard drives directly from floor-staged kits. Architected the software and telemetry platform orchestrating the global robot fleet, including cryptographic media verification and automated data-handling compliance.

COMING SOON // Q4 2026 [CASE STUDY]
// PHYSICAL AI & EDGE SYSTEMS • COMING SOON

Autonomous Edge Vision & Spatial SLAM Pipeline

NVIDIA Jetson AGX TensorRT ROS 2 Visual SLAM

Low-latency edge inference runtime executing spatial SLAM, real-time vision-language models, and sub-50ms obstacle pose estimation for ruggedized autonomous mobile manipulators.