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Staff Network Engineer

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


$139,538 - $209,306 a year

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.


###


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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Average salary estimate

$174422 / YEARLY (est.)
min
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$139538K
$209306K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Staff Network Engineer, Shield AI

Are you ready to take flight with Shield AI as a Staff Network Engineer in the vibrant Dallas Metro Area? Founded in 2015, Shield AI is on a mission to protect service members and civilians through innovative defense technology, and we're looking for someone like you to join our talented team. As a Staff Network Engineer, you'll play a crucial role in designing, implementing, and optimizing our network infrastructure for advanced aircraft platforms that operate in challenging environments. Your expertise will help maintain reliable communication between critical compute nodes, support high-bandwidth payloads, and ensure secure connections to ground stations. From leading the integration of our V-BAT UAV with multiple external networks to developing and maintaining advanced communication protocols, every day will present exciting challenges. You will collaborate closely with cross-functional teams, including software, autonomy, and hardware engineers, to deliver cutting-edge solutions. With a strong emphasis on continuous learning, you'll stay ahead of the curve by honing your skills on network technologies and best practices. This role requires a minimum of seven years of experience and a relevant degree, but with such an engaging workplace culture, you'll find every moment rewarding. If you thrive in a fast-paced, mission-driven environment and want to be a part of something larger, Shield AI is the place for you!

Frequently Asked Questions (FAQs) for Staff Network Engineer Role at Shield AI
What are the responsibilities of a Staff Network Engineer at Shield AI?

As a Staff Network Engineer at Shield AI, your key responsibilities include designing and implementing network architectures for our UAS that prioritize performance, reliability, and security. You will also lead the integration of the V-BAT UAS with external networks, develop communication protocols, and optimize network performance for various mission profiles. Additionally, you'll create software for configuring networking equipment and collaborate with multidisciplinary teams to ensure seamless network solutions.

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What qualifications are required for the Staff Network Engineer position at Shield AI?

To qualify for the Staff Network Engineer role at Shield AI, candidates should have a minimum of seven years of related experience, with a Bachelor's degree in Computer Science or a related field. Alternatively, a Master's degree can suffice with six years of experience or four years with a PhD. Key skills include designing and deploying network systems, proficiency in various network protocols, and experience with network programming and tools. Excellent communication skills and a collaborative mindset are also essential.

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What skills are important for a Staff Network Engineer at Shield AI?

Important skills for a Staff Network Engineer at Shield AI include a strong understanding of network protocols like TCP/IP, knowledge of routing and switching concepts, and experience using network simulation and analysis tools. Candidates should also be comfortable with cybersecurity principles, network programming languages such as C, C++, or Python, and have experience with Linux environments, scripting, and command-line tools.

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What can I expect from the work culture at Shield AI for a Staff Network Engineer?

At Shield AI, the work culture for Staff Network Engineers is dynamic and collaborative. You will be surrounded by passionate professionals who value teamwork and innovation. The environment encourages continuous learning, ownership of projects, and a commitment to high standards while fostering kindness and trust among colleagues. Here, you can expect to contribute significantly to impactful projects in a fast-paced organization.

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Is there room for career growth as a Staff Network Engineer at Shield AI?

Absolutely! At Shield AI, career growth is encouraged and supported. As a Staff Network Engineer, you will have opportunities to take on leadership roles, spearhead innovative projects, and collaborate cross-functionally, paving the way for your advancement. With an emphasis on continuous learning and skill development, Shield AI provides the ideal environment for professional growth.

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Common Interview Questions for Staff Network Engineer
Can you describe your experience with network protocols and how it applies to the Staff Network Engineer role?

To effectively answer this question, share specific protocols you have worked with, such as TCP/IP, and explain how they relate to past projects. Highlight situations where you utilized these protocols in developing robust communication systems, particularly in autonomous or aerospace settings.

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How do you approach the design and implementation of network architectures for advanced systems?

When discussing your approach, focus on the initial assessment of requirements, followed by a structured design process. Explain how you ensure scalability, reliability, and security by incorporating best practices and aligning with project specifications throughout implementation.

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In your opinion, what are the key considerations when integrating UAS with external networks?

Key considerations include understanding compatibility with existing systems, ensuring secure communication channels, and maintaining reliability under varying conditions. Discuss how you conduct thorough assessments of external networks and prepare contingency plans to mitigate risks.

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What methods do you use to test and validate network systems?

Outline your systematic approach to testing, which may include simulation testing, field testing, and using network analysis tools. Discuss how you ensure that the network meets performance metrics and identify years of adjustments needed based on test outcomes.

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What challenges have you faced in your previous network engineering roles, and how did you overcome them?

Select a specific challenge, such as a complex integration task or a performance issue, and detail how you tackled it. Highlight your problem-solving skills and resourcefulness, and explain the positive outcomes that resulted from your efforts.

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How do you stay current with advancements in network technologies?

Talk about your consistent efforts in professional development, such as attending workshops, following industry news, participating in forums, and engaging in relevant online courses. This reflects your commitment to applying the latest technologies and best practices.

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Describe your experience with network management systems.

In your response, mention specific management systems you have worked with and your role in deploying or optimizing them. Discuss how your expertise contributed to better network efficiency and monitoring capabilities in your previous projects.

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What programming languages are you comfortable with that are relevant to network engineering?

Highlight the programming languages you have experience with, such as C, C++, or Python, and share examples of projects where you utilized these skills. Discuss how these languages contributed to network automation or configuration tasks.

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Can you explain your experience with cybersecurity principles in networking?

Discuss your familiarity with cybersecurity frameworks and practices, such as encryption, firewall configuration, and risk assessment strategies. Provide examples where you applied these principles to safeguard network infrastructures.

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What is your experience with Linux and scripting in network engineering?

Talk about the specific Linux distributions you have used and how you wrote scripts to automate network tasks. Detail any particular challenges you faced and how your scripting skills improved efficiency in your past roles.

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Our mission is to protect service members and civilians with intelligent systems.

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Full-time, on-site
DATE POSTED
March 20, 2025

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