Autonomy Integration Engineer II (R3347)

Founded in 2015, Shield AI is a venture-backed defense technology company with the mission of protecting service members and civilians with intelligent, autonomous systems. Its products include Hivemind Enterprise—EdgeOS, Pilot, Commander, and Forge—as well as V-BAT and Sentient Vision Systems (wide-area motion imaging software). With offices in San Diego, Dallas, Washington, D.C., 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 and Instagram.    

• As a member of the Hivemind Systems Integration Team, you will:
• Deliver compelling, reliable, and well-tested autonomy capabilities through the Hivemind Enterprise Product
• Streamline the process of developing autonomy with the Hivemind Enterprise Product
• Support the use of the Hivemind Enterprise Product on new systems and for novel applications.

• Members of the Hivemind Systems Integration team will: 
• Lead the design, development, and execution of cross-functional or system-wide capabilities that deliver impact to users of the Hivemind Enterprise Product.  Work with several functional teams to implement solutions and integrate them into the product
• Identify functional gaps in the product backlog and quickly deliver prototypes that still align with the broader vision and architecture.
• Ensure that Hivemind Enterprise capabilities can be measured against system requirements. Ensure that each capability has testable acceptance criteria and that Hivemind has the analyzers and test infrastructure to measure those criteria. 
• Identify root causes for reported issues and, if capable, address them. Otherwise, work with functional teams to address bugs in the stack. 

• Minimum of 2 years of related experience with a Bachelor’s degree; or 0 years and a Master’s degree or a PhD without experience; or equivalent work experience.
• Deep experience with C++14 and beyond
• Experience with Python
• Experience with git or other modern version control systems (e.g. mercurial)
• Experience with modern package managers (i.e. Conan)
• Experience working in large, complex, distributed systems
• You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.
• You have a willingness to jump out of your comfort zone to help out other teammates as needed.
• Good written and verbal communication skills.

• Experience with C++17 or greater
• Comfortable analyzing data to improve design and performance of a system
• Experience with hands-on debugging of complex software and autonomy systems
• Experience with robotics frameworks, such as ROS, and simulators (e.g. AirSim)
• Experience with cloud-based systems and infrastructure, containerisation technologies, Kubernetes, etc.
• Familiarity with CUDA, streaming video, hardware integration, networking, communications
• Understanding about a wide range of autonomy products

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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.