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Shield AI

Builds autonomous aircraft for defense

Staff Engineer - System Test Network

Network Engineering & AdministrationUpdated on Nov 14
Full-timeArlington County, Arlington, VA, USAIn-person

About the Job

Requirements

  • Typically requires a minimum of 5 years of related experience with a Bachelor's degree, or 3 years with a Master's degree, or equivalent practical experience in network engineering, systems integration, test infrastructure, or software development.
  • Strong knowledge of Ethernet and TCP/IP networking, including switching, routing, subnetting, VLANs, multicast, DNS, DHCP, network address translation, quality of service, and common transport protocols.
  • Hands-on experience configuring and troubleshooting managed switches, routers, firewalls, Linux hosts, and networked computing systems in laboratory, development, or production environments.
  • Proficiency in Python or a comparable language for network automation, configuration generation, API integration, test development, data processing, or infrastructure tooling.
  • Experience developing and executing structured network or system tests using tools such as Wireshark, tcpdump, iperf, traffic generators, device telemetry, and application logs.
  • Experience supporting complex HIL, integration-lab, distributed-system, or test-infrastructure environments with shared resources and multiple engineering users.
  • Experience with source control, configuration management, technical documentation, network diagrams, issue tracking, and disciplined change-control practices.
  • Ability to obtain a SECRET clearance.

Responsibilities

  • Design, build, configure, and maintain scalable network architectures for HIL laboratories, integration environments, simulation systems, and shared test infrastructure across multiple programs.
  • Define and manage Layer 2 and Layer 3 configurations, including addressing, VLANs, routing, multicast, quality of service, access controls, redundancy, and time-synchronization services.
  • Develop and maintain networking software, configuration-as-code, automation tools, and validation utilities that make lab network deployment repeatable, reviewable, and recoverable.
  • Integrate switches, routers, firewalls, servers, real-time compute, simulators, flight computers, sensors, radios, and other program hardware into representative HIL and program network environments, including mobile ad hoc networks using Persistent Systems MPU5/Wave Relay, Silvus StreamCaster, and comparable tactical and software-defined radio platforms.
  • Develop and execute network test plans that measure connectivity, interoperability, throughput, latency, jitter, packet loss, multicast behavior, failover, and performance under load.
  • Build network observability capabilities using packet capture, device telemetry, logs, metrics, alerts, dashboards, and automated health checks to identify issues before they disrupt testing.
  • Reproduce, isolate, and resolve complex network and distributed-system issues using Wireshark, tcpdump, traffic generators, device diagnostics, application logs, and controlled experiments.
  • Partner with Solutions & Integration teams to reproduce deployed networking issues, translate customer and operational feedback into representative HIL network configurations and tests, and provide second-line network support for customer demonstrations, exercises, and evaluations.
  • Maintain authoritative network baselines, IP address assignments, hardware inventories, cable and port maps, architecture diagrams, interface-control documentation, and change records.
  • Integrate network configuration and test automation into source-control and CI/CD workflows, including peer review, automated verification, deployment, rollback, and auditability.
  • Evaluate network equipment and technologies, support capacity planning and procurement, standardize reusable solutions, and provide technical guidance to lab users and program teams.

Desired Qualifications

  • Experience supporting aerospace, defense, robotics, autonomous systems, avionics, flight-test, or other mission-critical engineering programs.
  • Experience with HIL, SIL, or VIL test environments, real-time simulation, flight computers, sensors, vehicle networks, or aircraft integration laboratories.
  • Advanced experience with multicast routing, precision time protocol, network timing, deterministic networking, traffic shaping, redundancy, or high-availability design.
  • Experience with network-automation and infrastructure-as-code tools such as Ansible, Netmiko, NAPALM, Terraform, or vendor APIs and software development kits.
  • Familiarity with enterprise network operating systems and hardware from vendors such as Cisco, Arista, Juniper, NVIDIA, or equivalent platforms.
  • Experience with virtualization, containers, Docker, Kubernetes, virtual switching, software-defined networking, or cloud-connected test infrastructure.
  • Experience implementing network security controls, secure remote access, vulnerability remediation, zero-trust principles, or DoD security and hardening requirements.
  • Experience configuring, integrating, and troubleshooting tactical mobile ad hoc network and mesh-radio systems, particularly Persistent Systems MPU5/Wave Relay and Silvus StreamCaster platforms, including radio-frequency and IP-network performance, routing, multicast, voice, video, data, and connectivity among airborne, ground, and laboratory nodes. Familiarity with tactical data links, serial communications, CAN, DDS, or gateways that bridge aircraft and laboratory network interfaces.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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