Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Owns logistics planning, supply support, supportability analysis, maintenance planning, provisioning, spares forecasting, and lifecycle sustainment for autonomous aircraft systems. Performs Maintenance Task Analysis, Logistics Control Number development, Reliability and Maintainability analysis, Level of Repair Analysis support, inventory planning, and repair pipeline tracking. Coordinates with engineering, manufacturing, supply chain, suppliers, and field operations to ensure parts and support resources are available throughout development, production, deployment, and operational sustainment.
Top Skills:
CasaCompassEagleGeia-Std-0007Mil-Hdbk-502AMil-Std-1388Opus10Powerlog JSae Ta-Std-0017SlicwaveUas Logistics Systems
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Integrate and characterize multimodal navigation sensors, including IMUs, GNSS receivers, and cameras, from specification through production. Develop calibration procedures, test plans, data-processing tools, and sensor trade studies. Collaborate across electrical, mechanical, firmware, and software disciplines on interfaces, mounting, thermal and vibration considerations, and sensor fusion implementation. Debug hardware-software issues, review schematics, CAD, and code, and support hands-on laboratory testing. Occasional travel is required for supplier coordination and testing.
Top Skills:
CadCanEmbedded SystemsGnssI2CImusMatlabPythonReal-Time SoftwareSpiUart
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Leads aircraft reliability engineering across development, integration, testing, and operations. Establishes reliability requirements and budgets, performs FMEA/FMECA, FTA, RBD, Weibull, and reliability prediction analyses, tracks reliability metrics, supports system safety and testing, reviews supplier data, leads FRACAS activities, identifies design improvements, and communicates risks and corrective actions to engineering leadership and customers. Mentors engineers and improves reliability processes.
Top Skills:
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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.
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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.
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