Manager of Engineering (R2094)

San Diego Metro Area /
Technology Division – Hivemind - Hivemind Edge /
Full Time Employee
/ On-site
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.

Are you a passionate and innovative ML engineer looking to help develop state of the art robots and AI products? Are you eager to make a positive difference in the world? Do you want to work alongside mission-driven and values focused teammates? Shield AI is just the place for you! 
The RL Foundations team is an agile group of engineers focused on researching and developing state-of-the-art algorithms that drive intelligent and confidence-inspiring flight behaviors while accounting for an uncertain and dynamic world. 
As a Software Engineering Manager, you will lead a team at the intersection of artificial intelligence, planning and controls. You will work closely with talented engineers to architect core systems, set standards for software engineering, drive strategic technical improvements, and mentor other engineers. 

What you’ll do:

    • Serve as the functional team lead for the RL Foundations team 
    • Work with our engineers, program, and product managers to define a technical roadmap for future autonomy solutions.  
    • Collaborate with the teams building AI Pilots to maximize efficiency (resources utilization), effectiveness (AI performance) and alignment with strategic objectives 
    • Collaborate with the teams building AI Pilots to apply effective techniques in machine learning and reinforcement learning, develop efficient algorithms, optimize exiting deep neural networks to operate on an embedded device and maximize reusability of existing code 
    • Develop core systems that must be portable and scalable across different UAS platforms and compute architectures 
    • Work with our Hivemind Design team to design and build infrastructure for the team that both supports local development and scales into the cloud 
    • Work with and deploy our AI stack to edge devices 
    • Work in collaboration with our DevOps teams to architect and maintain our cloud infrastructure, working with containerization technologies such as Docker and Kubernetes; assist with cross-platform builds and test orchestration, working with build tools (e.g. CMake, Bazel, etc.) and compiler tool chains (e.g. gcc, llvm, etc.) 

Required qualifications:

    • Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience. 
    • 5+ years of experience in Deep Learning, Software Engineering, or equivalent engineering roles 
    • 3+ years of people leadership experience 
    • MS in computer science or related engineering field 
    • Experience in state of the art deep learning architectures and strong mathematical understanding of deep learning fundamentals 
    • Experience working with production Pytorch models 
    • Experience working with data science tools: Python scientific libraries, Jupyter notebooks, Linux environment. 
    • Experience in production cluster environments 
    • Experience with C++ 11 or newer in a production environment 
    • Experience in a collaborative development environment, focused on continuous integration/delivery & test-driven development 
    • Strong knowledge of modern software engineering best practices 
    • Demonstrated record of working hard, strong communication skills, being a trustworthy teammate, and being kind to others 
    • Strong organizational skills 
    • #LI-KR1
$154,528 - $209,917 a year

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.