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Shield AI

Staff Software Engineer, Embedded Applications (R3331)

Boston, MA
C++ R
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Description
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.    

Job Description: 
The VBAT Software team is a motivated group of engineers focused on developing complex avionics software that merges hardware, operating systems and applications for cutting-edge Unmanned Aerial Vehicles (UAV). Embedded Software engineers work with customer programs, electrical engineers, Guidance, Navigation and Controls (GNC) engineers, systems engineers, test engineers and the autonomy team to design and develop software systems which utilize modern aerospace sensors, state-of-the-art UAV avionics, and groundbreaking Artificial Intelligence applications. 

As a member of the VBAT Software team, you will develop and maintain software architectures, generate and maintain all levels of software requirements, document and present software designs, coordinate software development, and marshal the entire suite of VBAT software through test and verification, release, and deployment to production and customers. 

WHAT YOU'LL DO:

  • Develop high-quality C/C++ code tailored specifically for V-Bat aircraft, ensuring optimal performance, reliability, and safety. 
  • Participate in architecture, design, and code reviews 
  • Leading cross-functional teams to create systems of software features to implement advanced robotic avionics capabilities 
  • Integrate software from multiple departments to include firmware, software test and verification, Autonomy AI, and Ground Control Stations (GCS) 
  • Develop software systems to implement and integrate interfaces to modern avionics sensors, sub-systems, and payloads 
  • Facilitate the design process for updates to the software system architecture  
  • Use modern software development tools and processes to capture our existing architecture and design future architectures 
  • Collaborating to define and extend systems engineering processes  
  • Report status, risks, accomplishments, expectations to senior leadership    
  • Work with the V-Bat production teams to manufacture UAVs in-house. 
  • Design and implement systems capable of conducting tests across various environments, including virtualized hardware and hardware-in-the-loop simulations, to facilitate thorough evaluation of software functionality and performance. 
  • Develop innovative tools to enhance the frequency and reliability of software deployment, test execution, and data analysis within a continuous integration and release system, fostering improved efficiency and productivity in software development workflows. 
  • Create prototypes to validate critical design concepts and assess technical limitations, providing tangible evidence of feasibility and informing decision-making processes. 

REQUIRED QUALIFICATIONS:

  • Demonstrated track record of assuming ownership over development processes and features and delivering outstanding outcomes  
  • Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed client expectations in a fast-paced environment  
  •  Proactively identify opportunities for improvement within software development projects, demonstrating initiative to propose and implement innovative solutions that enhance efficiency, quality, and overall project success and V-Bat reliability  
  • B.S., M.S, PhD degree in Systems Engineering, Software Engineering, Computer Science or STEM (Science, Technology, Engineering, or Mathematics) discipline, such as Aerospace, Mechanical, or Electrical Engineering 
  • Strong embedded software development experience in C/C++ 
  • Strong knowledge of embedded software, kernel development, BSPs or other systems software components 
  • Good understanding of computer architecture, operating systems, and network protocols fundamentals 
  • Experience producing high-quality technical documentation, including architecture, detailed designs, and test plans 

PREFERRED QUALIFICATIONS:

  • Experience working on cutting-edge autonomous robotic systems  
  • Proven background in thriving within fast-paced environments, particularly within startup or R&D settings 
  • Demonstrated adaptability, agility, and the ability to innovate under pressure to meet dynamic project demands and drive successful outcomes. 
  • Real Time Operating System (RTOS) experience 
#JG
#LI-JG1

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

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