Design, implement, and optimize resilient, secure network architectures for V-BAT UAS. Integrate with external networks (radio, satellite), develop communication protocols and provisioning software, test in lab and field, optimize for low-bandwidth/high-latency/high-packet-loss missions, and collaborate with cross-functional teams to deliver production-ready systems.
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
As a V-BAT Network Engineer, you will be instrumental in designing, implementing, and optimizing the network infrastructure for our Unmanned Aerial System (UAS) which is deployed in some of the most challenging environments worldwide. V-BAT is designed to operate in contested, GNSS-denied airspace, and our network must maintain highly reliable, secure, and efficient communication between all air and ground devices.
What you'll do:
- Design and implement network architectures for V-BAT, ensuring high performance, reliability, and security.
- Drive the integration of V-BAT with multiple external networks, such as ground-based radio and satellites.
- Develop and maintain communication protocols and network management systems for UAS operations.
- Optimize network performance for various mission profiles, including low bandwidth, high latency, and high packet loss missions.
- Develop software which implements, configures, and provisions networking equipment.
- Collaborate with cross-functional teams, including software engineers, hardware engineers, and operators to ensure comprehensive network solutions.
- Conduct testing and validation of network systems in lab and field environments.
- Stay current with advancements in network technologies and apply best practices to our systems.
Required qualifications:
- Bachelor’s degree with 5+ years of relevant experience, or Master’s with 4+ years, or PhD with 2+ years.
- Proven experience in designing, implementing, and deploying network systems which support real time applications.
- Strong understanding of the networking layers in the OSI model, especially layers 1-4.
- Knowledge of and experience with routing and switching concepts and protocols, such as DNS, DHCP, GRE, IPSEC, QoS, VLANs, BGP, OSPF, EIGRP, VPNs, QUIC.
- Proficiency in network simulation and analysis tools.
- Familiarity with network programming and tools (e.g. Wireshark, TCPDump).
- Experience with Linux, scripting, command line tools, etc.
- Experience developing C, C++, and/or Python software.
- Excellent communication skills, with the ability to effectively collaborate with multidisciplinary teams and design solutions which delight end users.
- Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment.
Preferred qualifications:
- Experience developing networks for aerospace or autonomous systems.
- Expertise on network security, firewalls, public key infrastructure and industry best practices.
- Experience customizing, deploying, and maintaining Linux distributions created with Yocto on various hardware platforms.
#LC
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
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