Shield AI

Staff Software Engineer, Pilot Foundations (R3088)

San Diego, CA
Docker C++ Python Azure AWS
Description
Introduction to Shield AI
Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies. 

-Work closely with Pilot teammates to architect, design and develop foundational Pilot capabilities to enable end-to-end autonomy. 
-Ensure correct design for effective reuse of foundational elements such as core datatypes, messages, interfaces and configuration elements 
-Design and develop foundational libraries such as transform / frame management and coordinate system management 
-Work closely with Software Operations teammates to ensure that Pilot developer workflows are efficient and effective. 
-Work closely with Software Operations teammates to streamline software package management and release processes for rapid and continuous integration 

Projects that you might work on:

  • Design and develop a transform library that enables querying transforms between various frames in a robotic system. Ensure that the library adheres to recommended design principles that enable high-assurance and certifiability 
  • Drive improvements to the integration process used by Pilot components to reduce the time it takes for a breaking change to get integrated / tested against a suite of integration tests 

Required qualifications:

  • BS in computer science or related engineering field with 7+ years of professional experience 
  • Experience with C++ in a production environment. 
  • Experience with Python in a production environment. 
  • Experience with a cloud service providers like Google, Azure, AWS 
  • Experience with build systems such as Conan and CMake. 
  • Strong demonstrated proficiency in continuous integration/delivery (e.g. Github, ADO,). 
  • Experience with Robotics concepts such as state estimation, path planning, object tracking 
  • Experience with robotics middleware such as ROS / ROS2 
  • Experience with autonomy software such as ROS Nav stack 
  • Familiarity with containers (e.g. Docker, Podman, etc.). 
  • Some experience with common debugging and profiling tools (e.g. gdb, valgrind, lldb). 
  • Demonstrated record of working hard, strong communication skills, being a trustworthy teammate, and being kind to others. 
  • Strong desire to learn and grow on the job. 
Total package details for U.S. based positions:
- Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity
- Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days
of employment)
- Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity

Total package details for International based positions (where applicable):
- International premium, hardship differential, cost of living differential, living quarters allowance, foreign service transfer
allowance, equity, international benefits, visa assistance, and relocation assistance.

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.

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. 
 Shield AI
Shield AI
Artificial Intelligence Machine Learning Mechanical Engineering National Security Robotics Security Software

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