Senior Staff Engineer, Infrastructure (R3200)

11 Minutes ago • 3 Years + • Devops • $168,871.2 PA - $253,306.8 PA

Job Summary

Job Description

Shield AI is building a software factory for autonomy solutions. This Senior Staff Engineer, Infrastructure role supports deploying, integrating, maintaining, and developing components of this factory for autonomy teams and customers in isolated environments. The position involves working with autonomy developers, test engineers, cybersecurity, and system administrators, leading a small team, and ensuring the proper operation of AI training factory and tooling. The role focuses on integrating AI training factory onto new hardware and providing software updates.
Must have:
  • Work with a team of autonomy developers, test engineers, cyber security, and system administrators
  • Lead a small team of infrastructure engineers
  • Integrate AI training factory and tooling onto new hardware
  • Provide software updates and configuration management between various isolated environments
  • Ensure proper operation of AI training factory and tooling
  • Coordinate with autonomy teams to build and meet requirements
  • Solve challenging and important problems
Good to have:
  • Experience with Authentication and Authorization frameworks and protocols
  • DoD 8570 IAT Level 2 Compliance
  • Experience supporting Golang-based applications
Perks:
  • Bonus
  • Benefits
  • Equity
  • Temporary benefits package

Job Details

Founded in 2015, Shield AI is a venture-backed defense technology company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices in San Diego, Dallas, Washington, D.C., Boston, Abu Dhabi (UAE), Kyiv (Ukraine), and Melbourne (Australia), Shield AI’s technology actively supports U.S. and allied operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, YouTube and Instagram.

Shield AI has developed a software factory for building, optimizing, evaluating, and analyzing autonomy solutions. The technology has drawn significant interest from industry. We are currently working with these customers to investigate modern warfighting problems and develop/deliver solutions. This position will support deploying, integrating, maintaining, and developing components of this factory for our autonomy teams and customers within isolated/specialized environments.

What You'll Do:

  • Work with a team of autonomy developers, test engineers, cyber security, and system administrators
  • Lead a small team of infrastructure engineers
  • Integrate our AI training factory and tooling onto new hardware
  • Provide software updates and configuration management between various isolated environments
  • Ensure proper operation of our AI training factory and tooling
  • Coordinate with autonomy teams to build and meet requirements
  • Solve challenging and important problems

Required Qualifications:

  • The ability to obtain and maintain a US Security Clearance.
  • Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 7 years and a Master’s degree; or 5 years with a PhD; or equivalent work experience.
  • 3+ years demonstrated experience with cloud computing solutions and architecture, with a focus on Kubernetes and container orchestration
  • Experience with supporting C++ or Python-based applications
  • Expert understanding of Linux/Unix-based systems (specifically in networking and experience in designing and implementing networked applications)
  • Experience leading/mentoring a small team
  • BS/MS in Computer Science, similar degree, or equivalent practical experience
  • Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
  • Experience debugging/troubleshooting deployed, distributed problems
  • Experience developing and deploying automation tooling (ex. Ansible, Chef, Puppet)
  • Must be available to support onsite in Crystal City and surrounding NOVA area

Preferred Qualifications:

  • Experience with Authentication and Authorization frameworks and protocols
  • DoD 8570 IAT Level 2 Compliance
  • Experience supporting Golang-based applications

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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