Co-Founder · Cayley AI

Autonomy that survives
contact with the real world.

I'm Marcin Rutkowski. For over a decade I've led the engineering behind machines that have to work unattended — underwater, in the air, on industrial sites and in contested environments. Today I build the deployment stack that gets physical AI out of the lab and into the field at fleet scale.

  • subsea
  • aerial
  • ground
  • industrial
  • defense
12yrs
Building field-proven systems, from the well site to the flight line
4
Physical domains fielded: subsea, aerial, ground and industrial
100 lbs 100 ton
Mass range of robots deployed, from light aircraft to heavy mining vehicles
3
Startup exits

Technical leadership

Where I add the most leverage

Autonomy programs rarely fail at the algorithm. They fail at the seams — the link that drops, the firmware that can't be updated, the fleet that can't be operated by fewer people than it has machines. I work on the seams.

Vehicle autonomy & architecture

End-to-end autonomy stacks for vehicles that operate without supervision, and the system architecture that makes them auditable rather than magical.

  • Full-stack autonomy pipelines with no human in the loop
  • Localization and visual odometry in GPS/RF-denied space
  • Mission-level intelligence integrated onto real airframes

Edge compute & embedded systems

Standardizing what runs on the machine — compute modules, sensor suites and firmware — so AI models can be deployed across a fleet instead of one prototype.

  • Organization-wide edge compute standardization
  • Accelerated CNN and point-cloud inference on embedded hardware
  • Firmware ported onto distributed microcontroller platforms

Resilient comms & telemetry

Ultra-low-latency, high-bandwidth links for supervised autonomy — and control planes that keep working as the link degrades instead of falling over.

  • High-performance video transmission pipelines
  • Kernel and TCP-stack tuning for order-of-magnitude latency wins
  • Self-discovering wireless mesh with dynamic load balancing

Field deployment & operations

Getting hardware to the site and keeping it running. Health management, readiness automation, and the bridge between engineering, deployment and the customer.

  • Vehicle health management and pre/post-mission automation
  • Full lifecycle ownership: architecture → manufacturing → field trials
  • Translating field and commercial reality into infrastructure requirements

Co-founder · Present

Cayley AI

Co-founded to build the physical AI deployment stack required to scale autonomous robotics across heavy industry and defense.

The models are arriving faster than the infrastructure that can field them. Cayley works on the layer underneath: telemetry and control that stay reliable in unstructured environments, edge orchestration, standardized embedded hardware, and sensor suites integrated for multi-asset coordination — aimed at the places where conventional solutions either fail outright or become cost-prohibitive.

  • Physical AI
  • Fleet autonomy
  • Edge orchestration
  • Embedded standardization
  • Sensor integration
  • Heavy industry & defense

cayley.ai

“The Deployment Stack for Physical AI” — a short look at what we build.

Selected work

Things that shipped and stayed shipped

The deployment stack being built now, supervised autonomy across a heavy vehicle fleet, and an autonomy suite integrated onto a production airframe.

Flagship Cayley AI

The physical AI deployment stack

The infrastructure that gets autonomous robotics fielded across heavy industry and defense — telemetry, edge orchestration and vehicle autonomy.

Watch the showcase

HavocAI (Teleo)

Supervised autonomy at 1:N

Ultra-low-latency comms and video pipelines for heavy vehicle fleets, letting one operator supervise many machines across an industrial site.

Read the breakdown

Shield AI

Autonomy on the V-BAT

Led integration of the Hivemind autonomy suite onto the V-BAT platform, re-architected its avionics and set the organization's edge-compute standard.

Read the breakdown

All projects & references

Trajectory

Twelve years, one throughline

Every step moved closer to the same problem: machines that have to make their own decisions, in places where help isn't coming.

Full profile on LinkedIn

  1. Present

    Co-Founder

    Cayley AI

    Leading engineering for the physical AI deployment stack — resilient infrastructure, vehicle autonomy, edge orchestration and sensor integration for multi-asset coordination across heavy industry and defense.

  2. May 2024 — Sep 2025

    Principal Engineer

    HavocAI (Teleo) · Palo Alto, CA

    Architected ultra-low-latency, high-bandwidth communication infrastructure for supervised autonomy over heavy vehicle fleets on large industrial sites — unlocking a 1:N operator-to-machine ratio, and bridging sales, deployments and operations to the infrastructure that had to support them.

  3. Dec 2022 — May 2024

    Senior Staff Software Engineer

    Shield AI · Dallas, TX

    Integrated the Hivemind autonomy suite onto the V-BAT, re-architected legacy avionics onto a distributed microcontroller platform, standardized the NVIDIA Jetson edge-compute ecosystem, and built the vehicle health and precision-landing systems behind a 100% readiness envelope.

  4. Nov 2020 — Dec 2022

    Robotics Software Engineer

    Tankbots (Advanced Robotics Group) · Houston, TX

    Architected a first-of-its-kind AUV for 24-hour endurance missions in zero-connectivity environments, including a proprietary underwater visual odometry system for navigation with no GPS or RF.

  5. Dec 2019 — Nov 2020

    Software Engineer

    Microsoft (The Marsden Group) · Greater Houston

    Embedded AI and computer vision on Jetson platforms — 4× faster CNN inference via Tensor Cores, a 500× improvement in LiDAR pipeline execution time, a 20× network latency reduction, and end-to-end hardware/software integration.

  6. Dec 2016 — Dec 2019

    Software Engineer

    Schlumberger · SLIIC, Sugar Land, TX

    Owned ValveCommander end to end — inception, architecture, engineering, manufacturing, field trials and commercialization. Also built characterization systems for nuclear detector photomultipliers and radiation detector accuracy validation.

  7. May 2014 — Dec 2015

    Embedded Software Engineer → Forward Deployed Engineer

    Schlumberger · Sugar Land, TX & Al-Khobar, Saudi Arabia

    Built a fiber-optic acquisition device capturing high-frequency data from downhole perforations through FPGAs and an ARM MCU over TCP/IP — then went to the field, running rigless well intervention with a team of five in the Saudi desert.

Consulting & advisory

Stuck between a demo and a deployment?

That gap is where most autonomy programs stall. I take on a small number of engagements each year — architectural reviews, autonomy development guidance, and specialized subsystem and integration work.