Staff Network Engineer

Dallas Metro Area

Job Description

This job posting has expired and no longer accepting applications.

About Shield AI

Founded in 2015, Shield AI is a venture-backed defense technology company focused on protecting service members and civilians with intelligent systems. Its flagship autonomy software, Hivemind, powers aircraft, drones, and other platforms, enabling complex missions with high reliability in contested environments. With offices in San Diego, Dallas, Washington, D.C., and internationally, Shield AI’s products actively support U.S. and allied operations worldwide.

For more information, visit www.shield.ai. Follow Shield AI on LinkedIn,Twitter, and Instagram.

As a Network Engineer, you will be instrumental in designing, implementing, and optimizing the network infrastructure for our aircraft platforms. Our aircrafts are designed to operate in contested, GNSS-denied environments and our network must maintain highly reliable communication between all compute nodes, enable operators to use high-bandwidth payloads, and ensure secure communication to ground stations.

WHAT YOU'LL DO:

Design and implement network architectures for UAS, ensuring high performance, reliability, and security.

Lead the integration of the V-BAT UAS 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 high-bandwidth and low-latency applications.

Develop software which implements, configures, and provisions networking equipment.

Collaborate with cross-functional teams, including software engineers, autonomy engineers, and hardware engineers, 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:

Minimum of 7 years of related experience with a Bachelor’s degree in Computer Science (or related field); or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.

Proven experience in designing, implementing, and deploying network systems, preferably for autonomous or aerospace applications.

Strong understanding of network protocols (e.g. TCP/IP) and communication systems in embedded devices.

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 cybersecurity principles and practices.

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 external stakeholders.

Demonstrated track record of assuming ownership over development processes and features and delivering outstanding outcomes

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.

You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.

PREFERRED QUALIFICATIONS:

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

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.

About Shield AI

For more information, visit www.shield.ai. Follow Shield AI on LinkedIn,Twitter, and Instagram.

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