Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Leads operational analysis, modeling, simulation, and wargaming for autonomous aircraft systems. Evaluates mission effectiveness, survivability, sensor performance, autonomy, and force-on-force engagements in contested environments. Partners with engineering teams, defense stakeholders, operators, and warfighters to inform design decisions, CONOPS, trade studies, and system improvements. Presents technical findings and recommendations to senior leadership, customers, and government agencies.
Top Skills:
AfsimMatlabPythonStk
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Design and integrate electromechanical avionics systems from concept through production and flight-test readiness. Responsibilities include avionics packaging, electrical interconnects, thermal management, aircraft integration, structural and modal analysis, environmental and EMI/EMC compliance, design reviews, system validation, and failure analysis. The role collaborates with electrical engineers on PCB constraints, circuit cards, mechanical interfaces, harnesses, and advanced manufacturing methods.
Top Skills:
AllegroAltiumCadenceCapitalCatiaDo-160Do-178CDo-254Finite Element AnalysisMil-Std-461Mil-Std-810NxPcbSolidworksThermal AnalysisZuken
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Leads end-to-end mission systems engineering for unmanned aircraft, including architecture, requirements, payloads, avionics, weapons, communications, integration, certification, and flight testing. Performs trade studies and system-of-systems analysis, oversees hardware-in-the-loop and flight-test campaigns, ensures compliance with aerospace standards, and collaborates with program teams, customers, partners, and suppliers to deliver fielded capabilities.
Top Skills:
Beyond-Line-Of-Sight (Blos) CommunicationsDo-178CDo-254Government Reference Architectures (Gra)Hardware-In-The-Loop (Hil)HivemindMil-Hdbk-516CModel-Based Systems Engineering (Mbse)Modular Open Systems Approach (Mosa)Open Mission Systems (Oms)Sysml
Develop and own embedded C/C++ software for UAV avionics, integrating sensors, payloads, firmware, autonomy systems, and ground control stations. Lead software feature development, architecture, reviews, testing, simulation, documentation, and production delivery. Build tools supporting continuous integration, deployment, test execution, and data analysis. Collaborate with cross-functional aerospace teams, improve systems engineering processes, prototype designs, and report project status and risks to leadership.
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
We are seeking for skilled, experienced embedded software engineers with relevant experience in C++ in embedded systems to join our Embedded Software Team focused on developing complex avionics software that merges hardware and embedded applications for cutting-edge Unmanned Aerial Vehicles (UAV).
The Embedded Software Engineer works with in a high pace environment with a cross-functional team of program stakeholders, 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.
The Embedded Software Engineer works with in a high pace environment with a cross-functional team of program stakeholders, 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.
WHAT YOU’LL DO:
- Develop high-quality C/C++ code tailored specifically for new unmanned aircraft, ensuring optimal performance, reliability, and safety.
- Leading cross-functional teams to create systems of software features to implement advanced robotic avionics capabilities.
- Own complex software capabilities from design to production.
- Participate in architecture, design, and code reviews.
- 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
- 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:
- Strong embedded software development experience in C/C++.
- Strong understanding of Oriented Object Programming and modern C++ features.
- Strong knowledge of embedded software, BSPs or other systems software components.
- Strong understanding of computer architecture, operating systems, and network protocols fundamentals.
- Demonstrated track record of assuming ownership over development processes and features and delivering outstanding outcomes.
- Experience producing high-quality technical documentation, including architecture, detailed designs, and test plans.
- 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 X-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
PREFERRED QUALIFICATIONS:
- Proven background in thriving within fast-paced environments, within startup or R&D settings.
- Proven experience in development of military aircrafts.
- Compliance with DO-178C
- Demonstrated adaptability, agility, and the ability to innovate under pressure to meet dynamic project demands and drive successful outcomes.
- Familiar with FPGA development using SystemVerilog.
- Real Time Operating System (RTOS) experience.
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.
###
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.
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

