Maritime Field Deployment Engineer - AI Perception on USVs

Tocaro Blue; Forest Park (AL); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Frequent travel

In-house training

401(k) with company match

Health insurance

Dental insurance

Vision insurance

Job summary

Tocaro Blue is seeking a Forward Deployed Engineer to deploy and integrate its AI perception systems on client vessels and USVs. You will work hands-on in dynamic maritime environments, performing field installations, testing, and troubleshooting to ensure mission success.

The role involves extensive travel (often up to 75% per month) and collaboration with ML engineering, product, and field operations teams to optimize system performance and reliability.

Qualifications

• Bachelor’s degree in a relevant field such as ocean engineering, mechanical engineering, electrical engineering, computer science, naval architecture or a related field.
• Two years of experience in Information Technology, specifically experience configuring Local Networks (e.g. using NMCLI).
• Experience working with a Linux-based operating system.
• Comfort interacting with technical and business clients; installing and demonstrating software, training clients on expected system performance.
• Demonstrated attention to detail and the ability to create and follow a plan.
• Hands-on expertise in electrical integration (power systems, cabling, connectors) and mechanical assembly and fabrication.
• Ability to diagnose and debug complex systems, from low-level networking and hardware faults to high-level perception and autonomy behaviors.
• Willingness to work in dynamic, hands-on environments, including on and near the water, with frequent travel to client test sites (often up to 75% per month).
• Comfort working with tools such as wrenches, power tools, and basic electrical test equipment.

Responsibilities

• Serve as a multidisciplinary field engineer responsible for the mechanical, electrical, and software integration of ProteusCore™, ApolloCore™, and marine sensor payloads onto client vessels, USVs, and maritime platforms.
• Deploy and test ProteusCore™ and ApolloCore™ in the field, identifying and resolving issues related to networking, perception, sensor fusion, and system performance in real-world maritime conditions.
• Perform system installation, integration, and troubleshooting of power, networking, sensor, and compute subsystems, including high‑performance GPU edge hardware.
• Own dockside and sea trials—prepare vessels, install new hardware and software packages, and perform system validation in operationally relevant environments.
• Analyze performance data from real‑world missions and deployments, using insights to drive improvements to software performance.
• Work directly with operators and end‑users, gathering feedback and adapting the system to operational requirements.
• Collaborate with cross‑functional teams—including our ML engineering, product, and field operations personnel—to evolve and harden system designs and enhance product capabilities.
• Document deployment procedures, best practices, and debugging workflows to improve system reliability and scale our deployment operations.
• Providing product‑use and troubleshooting assistance to clients based on your own on‑water experiences

Skills

Linux

Client interaction

System debugging

Electrical integration

Electrical wiring

Sensor fusion

Autonomy systems

Python

C++

Rust

Travel readiness

Education

Bachelor’s Degree in a relevant field (ocean/mechanical/electrical/computer science/naval architecture)

Tools

NMCLI (network management)

Marine hardware tools

GPU edge hardware

Job description

Tocaro Blue is seeking a Forward Deployed Engineer to deploy and integrate its AI perception systems on client vessels and USVs. You will work hands-on in dynamic maritime environments, performing field installations, testing, and troubleshooting to ensure mission success.

The role involves extensive travel (often up to 75% per month) and collaboration with ML engineering, product, and field operations teams to optimize system performance and reliability.