Multi-Domain Mission Capabilities Lead, Multinational Digital Infrastructure

3 дн. назад

USALead

networkingcloudsensor fusionaicomputer vision

Lead for multinational digital infrastructure connecting maritime autonomous systems for mission capabilities.

О компании

The Multinational Digital Infrastructure (MDI) team builds and sustains the classified networks, sovereign cloud environments, and data transport architectures that connect 's Maritime platforms across the US, UK, and Australia. We own the connective tissue between autonomous systems from undersea mesh networks to multinational SECRET cloud enabling coordinated war fighting capability at scale across AUKUS nations.

Обязанности

We are looking for a Multi-Domain Mission Capabilities Lead, Multinational Digital Infrastructure to join our rapidly growing team. builds world-class autonomous maritime platforms -- undersea vehicles, surface vessels, aerial systems, seabed sensors. Today, each platform communicates in its own way, on its own timeline, with its own constraints. There is no unified network architecture that enables a distributed autonomous fleet to operate as a single coordinated warfighting system. The Maritime mission requires platforms to work together as a coordinated, multi-domain system of systems that detects, tracks, classifies, and engages threats across undersea, surface, air, and space domains. The SoS must persist in environments where nothing is guaranteed: comms are denied, i

Требования

10+ years of experience spanning network architecture, systems/infrastructure engineering, and operational deployment of mission-critical digital systems with demonstrated ability to architect, build, and operate across the full stack
Track record of delivering complex digital infrastructure in field environments not just designing it, but deploying to exercises, demonstrations, or operational environments and owning the outcome end-to-end
Deep expertise in tactical/expeditionary networking: contested comms, mesh architectures, SATCOM integration, software-defined transport, and graceful degradation under link loss
Strong systems engineering across compute, containerized services, and data pipelines not just the network layer, but what runs on top of it in forward-deployed environments
Systems-of-systems thinking: ability to reason from operational outcomes (kill chain timelines, mission success criteria) backward into infrastructure requirements network, compute, services, and data
Experience designing and operating infrastructure in disconnected/intermittent environments: edge compute, autonomous services, store-and-forward data movement, and graceful reconnection
Experience integrating across multiple autonomous or unmanned platforms understanding how heterogeneous systems coordinate when each has different comms constraints, processing capabilities, and operational modes
Comfortable operating in the field: exercises, at-sea events, austere locations. This role deploys with the systems it designs.
Ability to drive technical alignment across teams you don't manage setting standards, building consensus, and shipping integrated capability through influence and direct contribution
Can communicate system architecture to admirals and operators as effectively as to platform engineers
Willingness to travel ~40% (exercises, customer sites, facilities, allied partner locations)
Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance

Будет плюсом

Experience with undersea communications (acoustic modems, UUV comms, delay-tolerant networking)
Background in maritime tactical networks (ADNS, CANES, Link-16/22, CEC, or allied equivalents)
Experience with mesh networking: dynamic topology, priority-based routing, store-and-forward, reconstitution after node loss
Knowledge of AUKUS or Five Eyes classified network frameworks
Background in cloud-native networking (service mesh, CNI, overlay networks) applied to edge/tactical environments
Prior work supporting at-sea testing, fleet exercises, or large-scale autonomy demonstrations
Experience with Lattice, ROS/ROS2, or similar distributed autonomy middleware from a networking perspective
Familiarity with IaC tooling, CI/CD pipelines, and DevSecOps practices applied to network infrastructure
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of 's total compensation package. Additionally, offers top-tier benefits for full-time employees, including:

Условия

At , we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next.  For more information, Explore Our Benefits .

Другое

Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, is changing how military systems are designed, built and sold. ’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
Deployable Digital Infrastructure Architecture Define the full-stack reference architecture for deployable Maritime mission infrastructure network, edge compute, data services, and classification boundaries packaged for expeditionary deployment to new theaters and new operations centers
Own the integration model across platforms: how systems discover each other, how data flows and gets processed between domains, how transport priorities map to C2 authority, and how the entire stack degrades gracefully when links are lost or nodes are destroyed
Design for expeditionary reality: the architecture must deploy in hours, operate in denied/degraded environments, reconstitute after node loss, and scale from a 2-vehicle demonstration to a 50+ vehicle operational fleet network through compute through services
Define the network and data transport layer that makes multi-domain coordination possible acoustic, RF, SATCOM, tactical datalinks, and terrestrial backhaul unified under a software-defined transport architecture
Architect the edge compute and data services layer: what workloads run forward, what data gets processed at the edge vs. transported to cloud, how mission services remain available without persistent backhaul
Mission Integration & Field Validation Deploy the full expeditionary infrastructure stack to the field: network, compute, services, and data pipelines own the end-to-end digital infrastructure for operational exercises, fleet demonstrations, and customer integration events
Own the infrastructure performance budget that underpins mission timelines network latency, compute capacity, service availability, data pipeline throughput, failover and prove it holds under operational conditions
Serve as MDI's senior technical authority during exercises and deployments: ensure the deployed infrastructure stack enables platform teams to execute coordinated operations without digital infrastructure being the bottleneck at any layer
Build the deployment playbooks: repeatable, documented, trainable procedures for standing up the complete expeditionary infrastructure stack in new locations with new operators
Validate that edge services, data processing, and classification boundary controls perform correctly under operational load not just network connectivity, but the full digital stack
Expeditionary Digital Infrastructure Design the complete deployable infrastructure stack: network gear, edge compute nodes, containerized mission services, crypto, SATCOM terminals, power, and operator interfaces packaged for rapid deployment to austere locations
Own the expeditionary compute and services layer: what workloads run on forward-deployed hardware, how mission applications containerize and deploy, how services discover each other and remain available in disconnected conditions
Architect the edge data processing pipeline: sensor fusion, local analytics, data reduction, and priority-based forwarding deciding what gets processed at the edge vs. what transits to sovereign cloud
Define the interface between expeditionary field infrastructure and persistent sovereign cloud how data, state, and configuration sync between a temporary forward node and classified environments when connectivity is intermittent
Solve the comms-denied problem at the full-stack level: not just store-and-forward for data, but autonomous service operation, local decision support, edge caching, and graceful reconnection when links restore
Own the management plane for deployed infrastructure: how you monitor health, push updates, patch vulnerabilities, rotate credentials, and maintain configuration state across forward-deployed nodes without persistent connectivity
Design and enforce classification boundary management in forward locations: data flow policies, cross-domain interfaces, crypto management, and national release controls in expeditionary configurations not just at fixed sites
Cross-Functional Technical Leadership Operate as an embedded technical leader across Maritime platform teams establishing common interfaces, integration patterns, and networking standards through direct contribution, not delegation
Represent externally to Navy, allied defense, and AUKUS partners on deployable mission system architecture translate operational requirements into technical strategy
Shape multinational architecture for coalition deployments: how allies integrate into the same system of systems under different classification frameworks and national authorities
Drive alignment between MDI infrastructure (classified networks, sovereign cloud, data transport) and platform engineering teams on how their systems operate in deployed configurations
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