Careers at F7D8749A 72D6 407C Bf98 292Ea630C73A

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 . Job Description: Are you a passionate and innovative engineer looking to help develop state-of-the-art AI and robotics products? Are you eager to make a positive difference in the world? Do you want to work alongside mission-driven and values-focused teammates? Shield AI is just the place for you! The Hivemind Integration & Test team is committed to ensuring our autonomy platform delivers a seamless developer experience and enables customers to build world-class autonomous systems. We focus on integrating, validating, and continuously improving the Hivemind ecosystem—spanning autonomy behaviors, sensor processing, multi-agent coordination, ground-control systems, and embedded platforms. Our mission is to ensure that autonomy developers can efficiently build, test, and deploy autonomous applications that meet real-world mission objectives. In this role, you will lead a team responsible for integrating, validating, and scaling the Hivemind autonomy platform across simulation, hardware-in-the-loop, and operational environments. You will serve as both a technical leader and people manager—guiding engineers in the development of robust integration and test capabilities while remaining actively engaged in hands-on system integration, validation, and customer-focused workflows. As a power user of the Hivemind SDK, you will develop a deep understanding of its capabilities, identify gaps from a customer perspective, and drive improvements across the platform. You will partner closely with Engineering, Product, and Program teams to integrate new autonomy capabilities, evaluate feature completeness, and ensure customers can efficiently build, test, and deploy mission-ready autonomous systems. This position bridges technical leadership, engineering execution, and real-world autonomy applications—ensuring our platform empowers customers to build reliable, world-class autonomous systems. What you'll do: Mentor, and develop a team of engineers focused on software integration, system validation, and developer experience. Establish team priorities, drive execution, and foster a culture of technical excellence, ownership, and continuous improvement. Actively contribute to system integration, validation, and debugging activities and develop deep expertise in our autonomy stack. Guide the architecture and implementation of integration frameworks, deployment workflows, and configuration management tools that streamline validation across Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and flight environments. Review system logs, telemetry, and rosbag data to diagnose integration defects Lead cross-functional investigations, establish corrective actions, and create tooling that accelerates debugging and issue resolution. Ensure integrated capabilities meet product requirements and interface specifications. Required qualifications: Typically requires a minimum of 7 years of related experience with a bachelor’s degree in CS, Comp Eng, Robotics, or a related field; or 6 years and a master’s degree; or 4 years with a PhD. Proficiency in programming languages including Python or C++. Experience with autonomous systems or middleware. Demonstrated experience designing integration workflows, communicating system dependencies, and triaging and reporting integration defects across subsystem boundaries. Strong problem-solving skills and a proven track record of delivering high-quality software solutions. Excellent communication skills, capable of collaborating effectively across various teams and presenting to customers or technical leadership. Experience leading software integration engineers and owning integration roadmaps and release schedules Preferred qualifications: Demonstrated experience building complex systems with a strong understanding of software architecture and design principles. Experience with hardware or embedded systems. Expert knowledge of Python. Experience with ROS. Experience with white box testing Familiarity with networking, operating-systems, and radio communications. Experience supporting customer applications #LI-DS5 #LD 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 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 . About Shield AI Shield AI is a defense technology company with the mission of protecting service members and civilians with intelligent systems. We build autonomy systems for air, maritime, space, and other platforms operating in complex and contested environments. Forge is the engineering platform used to build, integrate, test, and operate Hivemind capabilities. It connects autonomy developers with the applications, services, compute, data, and workflows they need to move from local development to deployed systems. The Role We are looking for a full-stack engineer to help shape the future of physical AI by building tools to develop, train, and validate autonomous systems. You will work across TypeScript and React applications, backend services, APIs, and Python data workflows, with an emphasis on extensibility and reuse. Your work will bring together internal platforms and open-source software across local and Kubernetes environments. You will build Forge capabilities for simulation, synthetic data generation, training, and test and evaluation, helping engineers turn ideas into proven autonomy capabilities. Working directly with Hivemind Pilot developers, Hivemind Solutions teams, and domain experts, you will translate complex workflows into reliable applications and reusable services. You will own features from user needs and design through implementation, deployment, and support. This role suits a generalist who wants meaningful ownership, enjoys moving between frontend and backend work, and is curious about the systems that connect them. You will help shape technical decisions and deploy and troubleshoot containerized services alongside platform engineers. Practical Kubernetes experience is a plus, particularly supporting applications in cloud or on-premises environments. What you'll do: Build complete features across React interfaces, backend services, APIs, and data storage. Translate complex technical workflows into intuitive applications with clear progress, results, and useful paths to investigate failures. Design and evolve APIs and data models that support applications, automation, and integrations with other teams. Contribute to a platform / application architecture directly through requirements or direct contribution. Contribute to software that is meant to run in a multitude of environments from local workstations, to CICD, to airgapped Kubernetes clusters. Test and support what you build, using logs, metrics, traces, and user feedback to improve reliability, performance, and usability. Work directly with users, product, design, and engineering teams to define scope, make practical tradeoffs, and deliver improvements iteratively. Key outcomes: A successful engineer in this role will help deliver the following outcomes: Hivemind teams can complete development and evaluation workflows through coherent applications and dependable services. Features work reliably across supported local and cluster environments, with clear diagnostics when something goes wrong. Other teams can integrate with and extend Forge through documented APIs and reusable components. Changes are straightforward to test, deploy, maintain, and support as the platform evolves. Required qualifications: Experience delivering and supporting production applications, with meaningful contributions to both frontend and backend development. Proficiency with TypeScript and React, including component design, state management, asynchronous data handling, and API integration. Experience building backend services in Go, Python, or a comparable language, including API design, validation, and error handling. Experience working with databases and application data models, including querying, persistence, and schema changes. Ability to reason about service interactions, authentication, authorization, background jobs, and failures across application boundaries. Familiarity with containers, CI/CD, and deploying and debugging services in a shared environment. Clear communication, sound engineering judgment, and the ability to work directly with users and carry work from an ambiguous problem to a supported solution. Preferred qualifications: Experience in every area below is not expected. Relevant experience may include: Hands-on Kubernetes experience deploying or troubleshooting applications, including Helm charts, service configuration, networking basics, and persistent storage. Developer tools or technical applications for simulation, experimentation, training, test and evaluation, or deployment. Job orchestration, distributed execution, or data-processing workflows using tools such as Ray, Kubernetes Jobs, Argo Workflows, or Dagster. Schema-driven APIs, generated clients, or service integrations using OpenAPI, JSON Schema, Protocol Buffers, gRPC, or WebSockets. Extensible applications, plugin systems, shared component libraries, or AI-assisted workflows and agent-tool integrations. Applications deployed across cloud, on-premises, edge, or air-gapped environments; familiarity with robotics, autonomy, or simulation. Why join us: Own complete solutions. Shape the user experience, implement the services behind it, and see your work through deployment and real use. Build software with direct mission impact. Help engineers develop, validate, and deliver autonomy capabilities more effectively. Work alongside engaged users. Partner with autonomy, ML, and simulation experts and see how your decisions affect their daily work. Influence a growing platform. Turn practical application needs into shared capabilities that benefit teams across Hivemind, including new AI-assisted engineering workflows. #LI-DM2 #LD 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 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 . About Shield AI Shield AI is a defense technology company with the mission of protecting service members and civilians with intelligent systems. We build autonomy systems for air, maritime, space, and other platforms operating in complex and contested environments. Forge is the engineering platform used to build, integrate, test, and operate Hivemind capabilities. It connects autonomy developers with the applications, services, compute, data, and workflows they need to move from local development to deployed systems. The Role We are looking for a full-stack engineer to help shape the future of physical AI by building tools to develop, train, and validate autonomous systems. You will work across TypeScript and React applications, backend services, APIs, and Python data workflows, with an emphasis on extensibility and reuse. Your work will bring together internal platforms and open-source software across local and Kubernetes environments. You will build Forge capabilities for simulation, synthetic data generation, training, and test and evaluation, helping engineers turn ideas into proven autonomy capabilities. Working directly with Hivemind Pilot developers, Hivemind Solutions teams, and domain experts, you will translate complex workflows into reliable applications and reusable services. You will own features from user needs and design through implementation, deployment, and support. This role suits a generalist who wants meaningful ownership, enjoys moving between frontend and backend work, and is curious about the systems that connect them. You will help shape technical decisions and deploy and troubleshoot containerized services alongside platform engineers. Practical Kubernetes experience is a plus, particularly supporting applications in cloud or on-premises environments. What you'll do: Build complete features across React interfaces, backend services, APIs, and data storage. Translate complex technical workflows into intuitive applications with clear progress, results, and useful paths to investigate failures. Design and evolve APIs and data models that support applications, automation, and integrations with other teams. Contribute to a platform / application architecture directly through requirements or direct contribution. Contribute to software that is meant to run in a multitude of environments from local workstations, to CICD, to airgapped Kubernetes clusters. Test and support what you build, using logs, metrics, traces, and user feedback to improve reliability, performance, and usability. Work directly with users, product, design, and engineering teams to define scope, make practical tradeoffs, and deliver improvements iteratively. Key outcomes: A successful engineer in this role will help deliver the following outcomes: Hivemind teams can complete development and evaluation workflows through coherent applications and dependable services. Features work reliably across supported local and cluster environments, with clear diagnostics when something goes wrong. Other teams can integrate with and extend Forge through documented APIs and reusable components. Changes are straightforward to test, deploy, maintain, and support as the platform evolves. Required qualifications: Experience delivering and supporting production applications, with meaningful contributions to both frontend and backend development. Proficiency with TypeScript and React, including component design, state management, asynchronous data handling, and API integration. Experience building backend services in Go, Python, or a comparable language, including API design, validation, and error handling. Experience working with databases and application data models, including querying, persistence, and schema changes. Ability to reason about service interactions, authentication, authorization, background jobs, and failures across application boundaries. Familiarity with containers, CI/CD, and deploying and debugging services in a shared environment. Clear communication, sound engineering judgment, and the ability to work directly with users and carry work from an ambiguous problem to a supported solution. Preferred qualifications: Experience in every area below is not expected. Relevant experience may include: Hands-on Kubernetes experience deploying or troubleshooting applications, including Helm charts, service configuration, networking basics, and persistent storage. Developer tools or technical applications for simulation, experimentation, training, test and evaluation, or deployment. Job orchestration, distributed execution, or data-processing workflows using tools such as Ray, Kubernetes Jobs, Argo Workflows, or Dagster. Schema-driven APIs, generated clients, or service integrations using OpenAPI, JSON Schema, Protocol Buffers, gRPC, or WebSockets. Extensible applications, plugin systems, shared component libraries, or AI-assisted workflows and agent-tool integrations. Applications deployed across cloud, on-premises, edge, or air-gapped environments; familiarity with robotics, autonomy, or simulation. Why join us: Own complete solutions. Shape the user experience, implement the services behind it, and see your work through deployment and real use. Build software with direct mission impact. Help engineers develop, validate, and deliver autonomy capabilities more effectively. Work alongside engaged users. Partner with autonomy, ML, and simulation experts and see how your decisions affect their daily work. Influence a growing platform. Turn practical application needs into shared capabilities that benefit teams across Hivemind, including new AI-assisted engineering workflows. 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 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 . Job Description: As a PCB Designer at Shield AI you will be responsible for creating the layouts that support our aircraft. You’ll work closely with electrical, mechanical and manufacturing engineers to translate schematics and requirements into robust, manufacturable PCBA designs. You will be involved in all steps of the PCBA design process including stackup design, constraint management, mechanical placement planning, generating drawings and manufacturing outputs. What you'll do: Create PCB layouts for complex digital, analog, RF, high-speed, and power electronics designs. Plan and manage PCB stack-ups in collaboration with fabrication vendors and manufacturing engineers. Partner with electrical engineers to interpret schematics, routing rules, and design intent. Collaborate with mechanical engineers to ensure proper board form factor integration, connector positioning, placement constraints. Apply best practices for signal integrity, power integrity, grounding, impedance control, and thermal/EMI mitigation. Conduct design reviews and implement feedback to ensure manufacturability, reliability, and compliance with company standards. Generate and maintain manufacturing documentation, including Gerber/ODB++ files, fabrication and assembly notes and drawings. Work with manufacturing engineering to ensure designs meet supplier DFM requirements. Required qualifications: BS in Engineering. Direct experience designing a PCB, either from projects or professional exposure. Preferred qualifications: Familiarity with IPC standards (IPC-2221/2222, IPC-7351, etc.) Familiar with PCB materials and manufacturing process, and stack-up construction. Familiar with controlled-impedance routing, differential pairs, length matching, and high-current power distribution. Familiar with scripting and automation #LI-JW4 #LA 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 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 . Job Description: We are seeking skilled, experienced embedded software engineers with relevant experience in C++ in embedded systems to join our X-BAT 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. What you'll do: Develop high-quality C/C++ code tailored specifically for X-Bat 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. Ability to obtain a S//SAR level security clearance desired. 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. #LI-SM1 #LD 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 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 . Job Description: Shield AI is seeking a Mission Systems Engineer to serve as the mission systems SME for the V-BAT Fleet Support team. In this role, you will own customer-facing engineering support for payload system issues, transponder system issues, emerging mission-technology integrations, and systems that communicate with external sources or provide data externally. You will serve as the bridge between Fleet Support and the mission systems, payload, software, electrical, and communications engineering teams to ensure customers receive expert engineering support for mission-critical capabilities. What you'll do: Serve as the mission systems SME for Fleet Support and lead escalated investigations involving payloads, transponders, and externally connected mission systems. Diagnose payload integration and performance issues involving power, thermal behavior, compute, configuration, data interfaces, timing, and subsystem interoperability. Troubleshoot systems that communicate with external sources or provide data externally, including mission-data outputs, external interfaces, and system-to-system connectivity issues. Support the introduction of emerging technologies and new mission capabilities into the fielded fleet by identifying support risks, validation needs, and integration challenges. Work directly with customers, operators, and maintainers to understand mission impact, reproduce issues, and define corrective actions. Partner with electrical, software, and RF teams on cross-functional mission-system problems. Support lab validation, hardware integration, test readiness, and field demonstrations related to mission-system fixes. Create technical guidance, interface notes, troubleshooting procedures, and customer-facing documentation for fielded mission capabilities. Capture recurring issues and feed lessons learned back into product, systems, and design teams. Required qualifications: Bachelor’s degree in Systems Engineering, Aerospace Engineering, Electrical Engineering, or a related discipline. 5+ years of experience in payload integration, sensor integration, mission systems, avionics integration, or aircraft systems engineering. Experience troubleshooting complex systems that span hardware, software, networking, and operational workflows. Strong ability to move between high-level mission context and detailed subsystem investigation. Experience working across design, integration, test, and field-support environments. Strong written and verbal communication skills in customer-facing technical settings. Preferred qualifications: Experience with electro-optical and infrared (EO/IR) payloads, radar, transponders, or other externally connected aircraft mission systems. Experience with interface control documents, validation planning, and flight-test support. Experience introducing new payloads or mission kits into operational fleets. Experience with defense, maritime, or expeditionary mission systems. #LI-JM1 #LD 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.

The Systems Engineer, Autonomy & Software at Shield AI is responsible for solving complex systems engineering challenges associated with the development, integration, and deployment of advanced autonomous systems for defense applications. This role sits at the intersection of systems engineering, software engineering, and autonomy. The Systems Engineer works across multidisciplinary engineering teams to translate mission and customer needs into system requirements, architectures, interfaces, and verification strategies while maintaining a deep technical understanding of the software and autonomy capabilities being delivered. The ideal candidate has a strong background in software and autonomy, is comfortable developing and debugging software in C++ and Python, and has significant experience applying systems engineering principles within complex defense programs. They should be equally comfortable working at the system level and diving into technical implementation when required. What you’ll do Apply systems engineering principles to the development and integration of autonomous systems for defense applications. Translate operational needs, mission objectives, and customer requirements into clear system, subsystem, software, and autonomy requirements. Develop and maintain system architectures, functional decompositions, interface definitions, Interface Control Documents, requirements traceability, and verification strategies. Work closely with autonomy, software, guidance, navigation and control, avionics, hardware, test, and platform engineering teams to ensure successful system integration. Define and manage interfaces between Hivemind Autonomy, vehicle systems, mission systems, sensors, communications, payloads, and external systems. Maintain a strong understanding of the underlying autonomy and software architecture, including how system level requirements translate into software behavior and implementation. Develop software, prototypes, analysis tools, test infrastructure, and engineering utilities using C++ and Python when required to solve integration and system level engineering problems. Use code, simulation, logs, telemetry, and other engineering data to investigate system behavior, diagnose failures, validate assumptions, and support technical decision making. Lead and support system integration activities across simulation, software in the loop, hardware in the loop, ground test, and flight test environments. Required Qualifications BS or MS in Computer Science, Software Engineering, Electrical Engineering, Aerospace Engineering, Systems Engineering, Robotics, or a related technical discipline. 5+ years of experience developing, integrating, or delivering complex software intensive systems, preferably within aerospace, defense, robotics, or autonomous systems. Strong software engineering background with hands on experience developing and debugging software in C++ and Python. Experience with autonomous or robotic systems, including familiarity with areas such as perception, planning, estimation, guidance, navigation, controls, or mission autonomy. Strong understanding of systems engineering principles and their application to complex defense systems. Experience developing and managing system and subsystem requirements, including requirements decomposition, allocation, traceability, and verification. Experience developing system architectures, functional architectures, interface definitions, Interface Control Documents, and other system level engineering artifacts.

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 . The Senior Software Engineer, Autonomy Applications Engineering will provide collaborate with customers to help them enable edge-AI and autonomy to platforms across sea, air, and space. This role involves working closely with customers to understand their requirements, writing code, developing new capabilities and ensuring successful software/hardware integration. WHAT YOU'LL DO: Become an expert user of the Hivemind Enterprise Autonomy Software Development Kit. Develop AI & Autonomy software capabilities using Hivemind for unmanned platforms across air/sea/space. Examples of Projects You will Work On: Autonomous teaming drones. Teaming between helicopters and drones. Autonomy on Robodogs. AI Pilots for Fighter Jets and more that we aren’t allowed to publicly share! Enable customers to integrate Hivemind autonomy to their vehicles/platforms. Debug software/API integration issues. Deploy Hivemind AI infrastructure at customer sites. Provide technical training to customers for their autonomy development efforts. Collaborate with the product and engineering teams to address customer feedback and improve products. Develop and maintain technical documentation Travel to and stay at customer sites as required for deployment / training / flight testing etc. (~30% travel). Examples of Projects You will Work On: Autonomous teaming drones. Teaming between helicopters and drones. Autonomy on Robodogs. AI on Fighter Jets… and more that we aren’t allowed to publicly share! REQUIRED QUALIFICATIONS: Bachelor’s degree in Engineering, Computer Science, or a related field. 4+ years of experience of industry experience or 2+ years of experience plus a master's degree. Ability to travel and stay deployed at customer sites across India. 3+ years of experience in an integration/applications engineering role. 2+ years of experience working in a startup environment. Strong technical background in software engineering. Strong proficiency in writing modern C++ code. Intermediate proficiency in writing Python code. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability converse fluently in Hindi and English. PREFFERED QUALIFICATIONS: Ability to travel to USA for up to 3 months at a time for training. Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner.

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 . Job Description: Shield AI is seeking a Data Engineer to build the reliable, governed data foundation for Finance's next generation of planning and decision support. Working on our Databricks platform, you will own reusable integrations, semantic-layer infrastructure, and production data services that support analytics and AI-enabled applications. You will combine engineering rigor with AI-assisted development to increase delivery speed, reliability, and cost efficiency. What you'll do: Build and operate scalable pipelines and integrations connecting enterprise data to Finance products. Develop semantic-layer infrastructure and governed data access for analytics, planning, and AI applications. Establish end-to-end pipeline observability, data-quality controls, and resilient operations. Engineer the services and integrations behind Databricks Genie and other AI-enabled Finance workflows. Use AI coding assistants to accelerate development while validating correctness, security, and performance. Apply FinOps practices to manage platform spend and optimize cost without compromising service quality. Partner with analytics engineers and enterprise teams on architecture, data contracts, and sustainable ownership. Required qualifications: Bachelor’s degree in computer science or a related technical or quantitative field and a minimum of 2 years of related experience. Hands-on production data engineering experience with SQL and Python or PySpark. Experience with cloud data platforms, orchestration, data modeling, and governed serving patterns. Ability to design for observability, recoverability, security, and maintainability. Proficiency with AI coding assistants and independent validation of generated work. Practical experience enabling AI capabilities on enterprise data, ideally in Databricks; adjacent Snowflake Cortex or comparable experience is welcome. Strong cross-functional collaboration and production ownership. Preferred qualifications: Experience with Databricks, Delta Lake, cloud infrastructure, and deployment automation. Experience developing AI application backends, model integrations, or LLM-based workflows. Experience with FinOps, financial data, or enterprise-system integrations. #LI-RS3 #LB 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 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 . Job Description Cloud Engineering builds and operates the infrastructure and environments that support Shield AI’s software products and platforms. As a Staff Cloud Engineer, you will design, build, and operate the cloud infrastructure and environments used to develop, test, integrate, and host Shield AI’s software products and platforms. You will work across AWS infrastructure, shared development environments, and supporting platform services to improve how these systems are provisioned, operated, and maintained. This is a hands-on engineering role focused on infrastructure automation, reliability, and operational stability. You will troubleshoot problems across infrastructure and services, improve existing systems, and work with engineering teams to build infrastructure that meets their development and integration needs. What You'll Do Design, build, and operate AWS infrastructure and shared development and integration environments Build and maintain infrastructure using Terraform and other infrastructure-as-code tools Automate environment provisioning, configuration, lifecycle management, and other recurring infrastructure tasks Build and operate infrastructure supporting containerized applications and workloads Establish and improve observability across cloud infrastructure and supporting services Diagnose and resolve infrastructure and environment issues across products and platform services. Improve the reliability and consistency of shared environments and platform services. Partner with Cybersecurity, Infosec, and Enterprise Ops to implement infrastructure and access controls that meet security and compliance requirements Monitor resource utilization and identify opportunities to improve infrastructure cost and capacity Required Qualifications Experience supporting shared cloud infrastructure across multiple products or engineering teams Experience with Kubernetes or other container orchestration platforms Experience with infrastructure as code tooling Experience designing automated or ephemeral environment lifecycle management Experience operating infrastructure in regulated or compliance-driven environments Experience implementing cloud IAM, access controls, and infrastructure security requirements Experience with AWS cost management, capacity planning, or resource optimization 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.