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Shield AI

Builds autonomous aircraft for defense

Networking & OS Engineering Manager

Engineering LeadershipPosted on Nov 11
Full-timeDallas, TX, USAIn-person

About the Job

Requirements

  • At least 8 years developing network or operating-system software for complex, safety-critical, or mission-critical systems.
  • At least 3 years leading software engineering teams, including planning, execution, coaching, and performance management.
  • A BS or MS in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, or a related field.
  • Strong communication and collaboration skills, including explaining complex technical concepts and building alignment across disciplines.
  • Ability to navigate competing priorities and resolve technical tradeoffs with cross-functional stakeholders.
  • Proficiency developing production-grade software in C, C++, or Python within Linux environments.
  • Experience shipping software that interacts directly with the Linux OS networking stack.
  • Deep understanding of Linux networking and Layer 2 / Layer 3 fundamentals, including routing and VLANs.
  • Experience with netlink, iptables/nftables, TUN/TAP interfaces, network namespaces, socket programming, and VPN/tunneling mechanisms.
  • Ability to lead reliable software delivery through development, integration, and deployment.
  • Hands-on experience troubleshooting network degradation in lossy, high-latency, or bandwidth-constrained environments.
  • Proficiency using network diagnostic tools such as tcpdump, Wireshark, iproute2, and iperf.
  • Ability to obtain a security clearance.

Responsibilities

  • Lead and develop a team of networking and OS engineers, owning planning, prioritization, execution, coaching, and performance management, and provide upward status updates on progress, risks, dependencies, and delivery commitments.
  • Deliver bandwidth-optimized, low-latency communication over lossy or constrained radio and satellite links, using traffic management, device isolation, and multi-link failover to meet operator capabilities.
  • Develop resilient Layer 2 / Layer 3 network topologies and embedded Linux networking capabilities, including custom routing, TUN/TAP interfaces, user-space tunnels, and socket-level applications.
  • Partner with software engineers, hardware engineers, field operators, and program stakeholders to align priorities, resolve technical tradeoffs, and validate end-to-end performance in hardware-in-the-loop labs and flight test environments.
  • Establish and uphold engineering standards for code quality, testing, reliability, and delivery; communicate technical decisions and balance near-term execution with long-term architecture and team development.

Desired Qualifications

  • Experience developing embedded Linux networking applications using build systems such as Yocto or OS-level customization tools.
  • Experience working with RF and other hardware engineers to design network protocols and topologies tailored to a novel radio network design.
  • Experience architecting network solutions for robotics, autonomous vehicles, aerospace, or edge-computing hardware.
  • Familiarity with network security, public key infrastructure, and cryptographic tunnels in embedded systems.

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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