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Robert Crimmins

Staff R&D Engineer, Data Solutions - Power & Liquid Cooling · HVDC Systems · AI Factory Infrastructure


Professional Experience

Staff R&D Engineer, Data Solutions

2023 – Present

nVent · Full-time

New York City Metropolitan Area · Remote

  • Technical Lead for nVent’s HVDC portfolio, driving integration and testing of emerging 800 VDC and ±400 VDC AI-factory power architectures, including HVDC power shelves and PSUs, touch-safety and grounding, and sidecar-to-rack interfaces feeding GPU compute; engage NVIDIA and AMD on their evolving power designs
  • Evaluate facility-to-rack power architectures spanning AC overhead busway (tap boxes and cable whips); high-power LVDC rectification; emerging 800 VDC and ±400 VDC distribution and DC bus; HVDC distribution-panel-to-rack cabling; solid-state transformers (rack and facility level); and rack-, row-, and facility-scale battery energy storage (e.g., Tesla Megapack)
  • Contributed power-distribution and liquid-cooling content to the Siemens × nVent 100 MW Hyperscale AI Blueprint - a Tier III reference architecture for NVIDIA GB200 NVL72 (127 kW/rack) AI factories
  • Own the electrical architecture and full product lifecycle of nVent’s intelligent rack-level AC and DC power-distribution portfolio - horizontal/vertical AC PDUs and low-voltage DC iPDUs with input and output metering and switching - integrated across the utility-to-chip power path
  • Architected nVent’s first switched and metered DC iPDU (Smart DCDU) for an international telecom partner in Finland - captured requirements on-site, delivered the first prototype in 87 days, and supported multimillion-dollar revenue
  • Modeled and tested transient behavior, protection, and soft-start across AC and DC power products, using regenerative test equipment to reproduce characterized AI-workload power pulses
  • Owned DCDU product compliance end-to-end - mapped the applicable safety and EMC standards and led UL/IEC/CSA/ETL safety and EMI/EMC qualification on-site at Intertek (Lake Forest, CA)
  • Designed and built an AI-assisted liquid-cooling configurator (routing, fitment, and BOM) across nVent’s modular TCS catalog - enabling rapid quoting, shipping, and deployment of liquid-cooled systems
  • One of nVent’s AI leaders driving AI-tool adoption across the company: running engineering workshops and continuously benchmarking and qualifying frontier models (cost vs. capability) for the software organization
  • Conduct on-site facility site-walks and provide commissioning support for PDU, CDU, and liquid-cooling (TCS) deployments - assessing power, cooling, and layout, and partnering with key accounts through integration, bring-up, and lifecycle management
  • Lead trade-show reconnaissance and competitive intelligence (OCP, GTC, SC, DCD, DCW) - surveying mechanical, electrical, software, and system-architecture designs on the show floor, then reporting the competitive landscape and helping steer the SmartPower and Liquid Cooling roadmap with executive leadership
  • Led an NPI-standardization Kaizen with company leadership - instituting formal phase-gate reviews and a RACI ownership model across global EE/ME/SW/MFG teams

Hardware Engineer

2021 – 2023

Argo AI · Full-time

Princeton, NJ · On-site

  • Drove end-to-end development of Argo Lidar, a purpose-built Geiger-mode LiDAR platform for autonomous vehicles
  • Designed hardware and software to bring up, calibrate, test, and debug vehicle sensors
  • Triaged and resolved issues with current and legacy sensors on autonomous vehicles using root cause analysis
  • Scaled prototype designs to volume production with global contract manufacturers and suppliers
  • Worked cross-functionally between engineering teams, TPMs, customers, OEM partners, CMs, and suppliers

Electrical Engineer

2020 – 2021

Raytheon Technologies (Sensors Unlimited) · Full-time

Princeton, NJ · On-site

  • Designed time-of-flight, low-power, small-form-factor shortwave-infrared (SWIR) sensors and camera systems
  • Streamlined performance and reliability testing by automating data ingest, parsing, and trend plotting
  • Unified a modular and scalable HW/SW/FW solution to ensure proper assembly of products at suppliers
  • Tested and validated camera systems to ensure compliance with customer interface control documents (ICDs)
  • Developed electrical equipment for evaluating and characterizing readout integrated circuits (ROICs)

Hardware Technology Engineer

2017 – 2018

Tesla · Internship

San Francisco Bay Area · On-site

  • Integrated a ground-up 48 V decentralized power-distribution and communication architecture for Cybertruck
  • Built a full-scale operational prototype vehicle and converted the Model 3/Y device platform for Cybertruck compatibility
  • Presented platform, roadmap, resource allocation, and production methods to executive leadership; implemented significant platform cost reductions
  • Developed the Wiring System Architecture later patented by Tesla - Application #16231314, Publication #20190217794

Avionics Systems Integration Engineer

2016 – 2017

SpaceX · Internship

Los Angeles, CA · On-site

  • Developed and integrated improved Falcon 9 and Falcon Heavy avionics hardware architecture
  • Built and tested hardware-in-the-loop test racks to validate flight hardware via simulation
  • Created a payload-separation simulator to qualify flight-computer electrical-signal performance
  • Designed NI PXIe data-acquisition PCBAs across the production floor for vehicle sensor testing
  • Deployed onshore and offshore landing pad hardware for post-mission vehicle operations

Education

Worcester Polytechnic Institute

  • Master of Science: Electrical and Computer Engineering
  • Bachelor of Science: Electrical and Computer Engineering
  • Bachelor of Science: Robotics Engineering

Skills

Data Center Power & Cooling

Power distribution (utility to chip), AC / DC / HVDC PDUs (800 VDC and ±400 VDC, power shelves, touch-safety & grounding), metering & switching (iPDU), redundant power architecture, transient & dynamic-load characterization, short-circuit withstand (SCCR), UL / IEC / CSA / EMC compliance & certification, direct-to-chip liquid cooling (CDU / TCS), commissioning support & facility site-walks, requirements capture & Voice-of-Customer, power-path integration (busway, RPP, on-prem generation, BESS), OCP / MGX rack standards

AI / ML

LLM-assisted development (Claude Code, Codex, Grok), frontier-model benchmarking & evaluation, AI workflow automation, prompt engineering, on-prem / local inference

Software

C, C++, Python, Java, MATLAB, Assembly, ROS, TypeScript, React, Next.js, Tailwind, Node.js, HTML, CSS, Git

FPGA & Embedded

Embedded Systems, RTOS, Verilog, VHDL, Logic Synthesis, Simulation, Testable Design

Hardware

Xilinx Zynq MPSoC, Altera Cyclone V, PolarFire SoC, ARM Cortex M-Series, MSP430, Arduino

Networking & Infrastructure

Virtualization (Docker, VMs, Unraid / NAS), redundant networking, homelab / on-prem AI nodes, cellular & Starlink failover

Product Security

Threat modeling, risk assessment, system diagramming, secure-by-design (PSAT)

Applications & Tools

Altium PCB, PADS, Zuken E3, NX, CATIA, Multisim, AutoCAD, Visio, SharePoint, Subversion

Products

nVent Smart DCDU: Switched & metered -48V DC power distribution for mission-critical telecom and edge networks

nVent EdgeNRG: Integrated, remotely managed edge data center node combining power, backup, rack, and cooling

nVent TCS Configurator: AI-built configurator that optimizes liquid-cooling layout, routing, and BOM across nVent’s modular catalog

Argo Lidar: Purpose-built Geiger-mode LiDAR platform for autonomous vehicles

SWIR Sensors & Cameras: Time-of-flight shortwave-infrared imaging systems (Raytheon / Sensors Unlimited)

Tesla Cybertruck Decentralized Architecture: Decentralized power-distribution and communication platform, later patented by Tesla

Falcon 9/Heavy Test Systems: Hardware-in-the-loop flight-termination racks and payload-separation simulator

Academic & Personal Projects

Autonomous Vehicle: Integrated localization, perception, mapping, path-planning, control, and power systems on an EV

Sensor Calibration: Utilized edge detection to calibrate time-of-flight and visible cameras and incorporated into ROS

Path Planning: Implemented navigation algorithms: A* with heuristics, Drunkard’s Walk, BFS, DFS

Robot Platforms: Unified actuators, sensors, feedback, signal processing, and networks for various platforms

Robotic Arms: Developed control software for light assembly line manufacturing using a Dobot robotic arm

Networks: Implemented networks with fault tolerant data arrays, scripting, automation, and virtual machines