Designs, develops, integrates, and validates complex ground systems software for UAVs and autonomous platforms. Responsibilities include software architecture, ground control systems, telemetry processing, mission planning, real-time control, React and TypeScript interfaces, requirements traceability, systems engineering integration, architecture trade studies, technical reviews, and cross-functional technical 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 an experienced Ground Systems Software Engineer with a strong background in software design and development and a working knowledge of systems engineering processes, methodologies, and tools. This individual will play a key role in defining, developing, integrating, and validating complex software systems while ensuring alignment with system-level requirements, architecture, and program objectives.
The ideal candidate combines deep technical software expertise with an understanding of systems engineering principles, including requirements management, model-based systems engineering (MBSE), verification and validation, configuration management, customer communications and cross-functional technical leadership.
What you'll do:
- Participate in the development of software architectures and code for complex, distributed, and mission-critical systems.
- Engage in software design and development activities from concept through deployment and sustainment.
- Work with software responsible engineers to develop and model high-quality, scalable, maintainable software solutions using modern programming languages, frameworks & System Modeling Tools.
- Develop, review and maintain architecture diagrams to support government reference architectures.
- Engage with internal stakeholders to develop software architecture behavior diagrams/ documents to support customer deliverables.
- Communicate technical concepts effectively to engineering, program management, and customer stakeholders.
- Design, develop, and optimize ground control software that enables low-latency communication with UAVs and other autonomous platforms.
- Build high-performance client and server applications that support telemetry processing, mission planning, and real-time control.
- Implement responsive user interfaces with React and TypeScript for operator workflows and visualization of spatial data, sensor feeds, and mission state.
- Collaborate closely with teams across autonomy, embedded systems, backend, and UX to deliver integrated, field-ready solutions.
- Collaborate with systems engineers to derive software requirements from system-level requirements and operational needs.
- Ensure software solutions maintain traceability to stakeholder, system, and subsystem requirements.
- Participate in architecture trade studies and technical decision-making activities.
- Support system decomposition, interface definition, and allocation of requirements.
- Contribute to system design reviews including SRR, PDR, CDR, TRR, and related technical milestones.
- Work closely with hardware, network, test, and integration teams to ensure end-to-end system performance.
Software Architecture & Development
Systems Engineering Integration
Required qualifications:
- Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or related technical field.
- 8+ years of software engineering experience.
- 3+ years of software architecture or technical leadership experience.
- Proficiency in a strongly typed programming language (e.g. C#, TypeScript, Java, C++) with exposure to lower-level systems or protocol integration.
- Familiarity with software development lifecycle (SDLC) methodologies.
- Understanding of systems engineering processes and standards.
- Experience with requirements management and traceability practices.
- Experience using version control and CI/CD tools.
Preferred qualifications:
- Experience in aerospace, defense, robotics, autonomous systems, aviation, automotive, telecommunications, or other complex systems domains.
- Experience with GCS software, mission planning tools, or real-time visualization platforms.
- Familiarity with Model-Based Systems Engineering (MBSE) methodologies.
- Experience with systems engineering tools such as:
- Cameo Systems Modeler / MagicDraw
- Stell
- JIRA
- Confluence
- Experience with cloud-native architectures, containerization, and orchestration technologies.
- Familiarity with Autonomy Government Reference Architectures (A-GRA), Open Mission Systems (OMS) and Universal Command & Control Interface.
Desired skills:
- Ability to operate effectively across multiple engineering disciplines.
- Strong systems thinking and problem-solving abilities.
- Excellent written and verbal communication skills.
- Ability to translate complex system requirements into practical software solutions.
- Experience balancing technical, programmatic, and operational constraints.
- Strong leadership and collaboration skills.
- Interface Control Documents (ICDs) development and management
#LI-AA1
#LE
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.
Shield AI Waltham, Massachusetts, USA Office
500 Totten Pond Road, Waltham, MA, United States, 02451
Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Evaluates damaged and nonconforming aircraft hardware, develops repair and rework dispositions, creates technical instructions, and maintains configuration-controlled MRB records. Partners with engineering, quality, manufacturing, supply chain, and sustainment teams on field returns, production escapes, supplier issues, root-cause investigations, and corrective actions. Identifies recurring defects and improves inspection, repair, acceptance, and sustainment processes for unmanned aircraft systems.
Top Skills:
As9100Configuration ManagementEco/EcrFracasItarPqdrRcca
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead operational analyses and M&S to evaluate autonomous aircraft effectiveness, survivability, and mission impact. Build and run mission- and campaign-level models, perform trade studies and sensitivity analyses, engage DoD stakeholders, translate findings into system requirements and CONOPS, prepare technical reports/briefings, and coach junior analysts while applying reproducible, version-controlled analysis workflows.
Top Skills:
AfsimBrawlerEsamsGitMatlabMbsePythonStkSysml
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Architect and develop safety- and mission-critical real-time software for autonomous aircraft mission systems. Responsibilities include defining software architecture, integrating sensors, communications, navigation, autonomy, and effectors, ensuring deterministic performance and resilience, and leading verification across laboratory, simulation, flight-test, and deployed environments. The role also requires cross-functional technical leadership, requirements traceability, cybersecurity integration, performance analysis, and lifecycle ownership.
Top Skills:
A-GraAms-GraArp4754ACC++Do-178CDo-254FaceFpgaGpuHilInterprocess CommunicationMiddlewareNetworkingOmsPublish/Subscribe MiddlewareRtosRustSilUci
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
