Software Engineer, Infrastructure (R2071)

Introduction to Shield AI
Shield AI’s mission is to protect service members and civilians with intelligent systems. Shield AI is a fast growing, venture-backed defense-technology company built around a team of proven executives, distinguished warfighters, and world-class AI engineers. Since 2018, Shield AI’s products and people have supported operations around the world with the US Department of Defense and our allies.


Job Description 
ShieldAI has developed a software factory for building and optimizing deep reinforcement learning-based solutions. The technology has drawn significant interest from DARPA, AFRL and the US Navy. We are currently working with these customers to investigate modern warfighting problems and develop prototype solutions. This position will support our internal Training Factory Infrastructure in developing this factory for our RL teams and customers. 

What you’ll do:
  • Work with a small team of engineers and administrators. 
  • Develop libraries and platforms that power our AI training factory.  
  • Coordinate with autonomy teams to build and meet requirements. 
  • Solve challenging and important problems. 
  • Projects you might work on:  
  • Distributed learning. Make our models train, evaluate, and run across large distributed systems. 
  • Learning automation. Develop software tools for automating the training, evaluation, and analysis of AI behaviors. 
  • Minimum qualifications: 
  • Typically requires a Bachelor’s degree and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience. 
  •  Experience working with containerized applications, orchestration (i.e., Kubernetes) is a plus. 
  • Strong knowledge of Linux and developing for Linux, particularly networking. 
  •  Software development experience in Python, C++, or Go. 
  • Experience contributing to software projects with at least 10 contributors. 
  • BS/MS in Computer Science, similar degree, or equivalent practical experience. 
  • Current SECRET clearance or able to obtain one.   
  • USA citizenship.  Non-citizens, even permanent residents, will not be considered. 
  • Preferred qualifications:
  • Experience using and/or developing MLOps tooling, RL is an extra plus. 
  • Experience working with on-premises Kubernetes deployments. 
  • Experience working with distributed services and common technologies in that discipline (e.g., gRPC, RabbitMQ). 
  • LI-OE1 

    Total compensation: Salary within range listed above + Bonus + Benefits + Equity (if applicable)
    Actual 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. Information on the benefits offered is here. All offers are contingent on a cleared background check.

    Location guidelines-
    Onsite = 5 days/week
    Hybrid = Several days in the office
    Remote = Remote but able to come to the office as requested for business needs

    If you're interested in being part of our team, apply now! 

    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. 
     
    To conform to U.S. Government regulations, applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. 
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