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: The Systems & Platform Integration team serves as the engineering bridge between Hivemind autonomy and operational platforms across Shield AI’s Expeditionary and Emerging Operations portfolio. Our mission is to rapidly enable new platform adoption by developing the interfaces, configurations, and integration frameworks required to deploy autonomy capabilities across a diverse portfolio, including XBAT, VBAT, Weapons, Space, Congested Logistics, and Maritime initiatives. As a Senior Software Integration Engineer, you will lead the integration of Hivemind autonomy onto a diverse portfolio of operational platforms. You will design and implement the software interfaces that connect autonomy with platform control systems, mission computers, payloads, sensors, and communications systems, while solving complex integration challenges across software, hardware, and networking. You will own integrations throughout their lifecycle—from interface design and implementation, through validation in Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and Vehicle-in-the-Loop (VIL) environments, to successful demonstrations and operational deployments. This role is ideal for an engineer who enjoys solving complex, cross-disciplinary engineering problems and wants to see autonomy capabilities transition from development into real-world operational use. What you'll do: Lead platform integration of Hivemind autonomy across expeditionary and emerging operations platforms. Develop and maintain software interfaces between autonomy, vehicle subsystems, autopilots, payloads, mission computers, and platform services. Configure mission-computing environments, including Linux systems, middleware, containers, and deployment pipelines. Integrate mission hardware and systems, including sensors, payloads, radios, tactical networks, ground control stations, and mission systems. Develop reusable integration frameworks, platform adapters, and deployment mechanisms that accelerate onboarding of new platforms. Support SIL, HIL, VIL, and representative integration environments to reduce integration risk before flight and operational testing. Lead cross-domain debugging and troubleshooting across hardware, embedded software, networking, and autonomy interfaces. Support demonstrations, exercises, surrogate operations, and customer events. Coordinate integration activities across autonomy, systems engineering, flight test, program leadership, and external partners. Mentor junior engineers and help drive engineering best practices across the team. Required qualifications: BS in Computer Science, Aerospace Engineering, Electrical Engineering, Mechanical Engineering, or a related field. 4–7 years of experience integrating and testing robotics, autonomy, aerospace, or similarly complex systems. Proficiency in programming languages such as C++ and Python, with familiarity with real-time operating systems (RTOS). Proficiency in Linux-based development and integration environments. Experience integrating complex software systems with vehicle platforms, mission-computing environments, payloads, sensors, and communications systems. Experience with sensor integration and middleware frameworks such as ROS. Hands-on experience supporting field tests, demonstrations, or operational events. Strong systems engineering, debugging, and troubleshooting skills. Ability to obtain and maintain a Secret clearance. Preferred qualifications: Experience with flight-control systems such as ArduPilot or PX4. Experience with unmanned aerial systems, including fixed-wing aircraft, quadrotors, or both. Background in autonomy, robotics, or aerospace systems. Familiarity with flight controllers, radios, and communications systems. Experience with CI/CD pipelines and modern software deployment practices. #LI-LD1 #LC 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's Software Test & Automation Team is responsible for developing the verification, validation, and automation capabilities that enable rapid delivery of Hivemind autonomy across the Expeditionary and Emerging Operations portfolio. The team provides objective evidence of software quality, reliability, and mission readiness by developing scalable automation frameworks, repeatable validation environments, and software readiness assessments spanning Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), Vehicle-in-the-Loop (VIL), and operational test environments. As the Software Test & Automation Manager, you will lead a multidisciplinary engineering team responsible for defining verification strategies, building automated validation capabilities, and establishing software readiness standards across a diverse portfolio that includes XBAT, VBAT, Weapons, Space, Maritime, and other emerging autonomy programs. You will partner closely with software engineering, systems engineering, platform integration, digital infrastructure, and flight test organizations to ensure autonomy capabilities are thoroughly validated and ready for operational deployment. This role is ideal for a technical leader who enjoys building high-performing engineering teams, developing scalable automation strategies, and improving software quality through modern verification and continuous validation practices. What you'll do: Lead and grow a team of Software Test & Automation Engineers supporting Expeditionary and Emerging Operations. Define verification and validation strategies spanning simulation, SIL, HIL, VIL, and operational test environments. Drive the development of automated regression testing, validation frameworks, and test infrastructure that improve software quality and engineering velocity. Establish software readiness criteria, quality gates, and objective performance metrics used to assess autonomy maturity throughout the development lifecycle. Partner with Digital Infrastructure to integrate automated validation into CI/CD pipelines and expand continuous testing capabilities. Develop common automation frameworks, reusable test assets, and validation methodologies across multiple autonomy programs. Coordinate software readiness activities with software engineering, systems engineering, platform integration, and flight test teams. Develop technical roadmaps, staffing plans, and engineering priorities aligned with organizational objectives. Mentor engineers, conduct performance reviews, recruit top talent, and foster technical excellence across the organization. Present software readiness assessments, technical risks, and validation status to program leadership, Chief Engineers, and executive stakeholders. Required qualifications: Lead and grow a team of Software Test & Automation Engineers supporting Expeditionary and Emerging Operations. Define verification and validation strategies spanning simulation, SIL, HIL, VIL, and operational test environments. Drive the development of automated regression testing, validation frameworks, and test infrastructure that improve software quality and engineering velocity. Establish software readiness criteria, quality gates, and objective performance metrics used to assess autonomy maturity throughout the development lifecycle. Partner with Digital Infrastructure to integrate automated validation into CI/CD pipelines and expand continuous testing capabilities. Develop common automation frameworks, reusable test assets, and validation methodologies across multiple autonomy programs. Coordinate software readiness activities with software engineering, systems engineering, platform integration, and flight test teams. Develop technical roadmaps, staffing plans, and engineering priorities aligned with organizational objectives. Mentor engineers, conduct performance reviews, recruit top talent, and foster technical excellence across the organization. Present software readiness assessments, technical risks, and validation status to program leadership, Chief Engineers, and executive stakeholders. Preferred qualifications: Experience supporting autonomous systems, robotics, or unmanned platforms. Experience with software quality tools such as SonarQube. Experience with ROS. Experience developing software readiness metrics, dashboards, and executive reporting. Experience supporting DoD programs and customer demonstrations. #LI-LD1 #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: As an engineer on the HMS DevOps/DevEx Team, you will write the automation, configure the environments, and build the CI/CD pipelines that power the software development lifecycle across Hivemind Solutions. Your work is hands-on and focused on engineering maximum velocity, reproducibility, and security into our distributed developer tooling and cloud testing environments. You will completely automate tool workflows by writing scripts and API integrations connecting GitLab, Jira, and Confluence. You will configure and optimize C++, Python, and Node.js compilation pipelines, scale auto-running GitLab runner fleets, manage secure Artifactory container registries, deploy Forge in Azure Gov Cloud, and write custom HMS extensions to our pi-gov GenAI routing harness. What you'll do: Write, configure, and maintain robust GitLab CI/CD pipelines and runner environments for C++, Python, and Node.js software projects, ensuring fast compilation and test execution. Build, test, and deploy automated tooling integrations, webhook dispatchers, and state-change scripts connecting GitLab, Jira, and Confluence to orchestrate release workflows. Write custom Python or Bash extensions for our pi-gov harness, configuring secure, audited LLM routing rules and local container configurations. Deploy, scale, and configure the Forge simulation and test orchestrator in Azure Gov Cloud, optimizing runner autoscaling and cloud compute consumption. Maintain, configure, and secure Artifactory package registries, implementing secure container builds via BuildKit, secret injection, and Entra ID integration. Partner with development teams to migrate legacy project build systems to reproducible Nix developer environments, writing default Nix derivations and flake configurations. Troubleshoot pipeline failures, broken builds, registry access issues, and system-level configuration drift across development environments. Required qualifications: Typically requires a Bachelor's degree in Computer Science, Computer Engineering, or related technical discipline, or equivalent practical experience. Practical experience building, maintaining, and scaling enterprise CI/CD systems, with deep expertise in GitLab CI/CD pipelines and runner infrastructure. Direct experience writing scripts (Bash, Python) and utilizing webhooks/APIs to automate and integrate engineering tools (such as Jira, Confluence, and GitLab). Hands-on experience with containerization (Docker, multi-stage builds) and package managers (such as Conan, Poetry, or Nix). Familiarity with deploying and managing application workloads in cloud environments (such as Azure Gov Cloud or AWS). Experience with secure software development practices, secret management, and identity providers (Active Directory, Entra ID). Solid Linux system administration, networking, and troubleshooting skills. Ability to obtain and maintain an active U.S. SECRET security clearance (U.S. citizenship required). #LI-LD1 #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 . As a Senior Technical Engineering Manager of Autonomy Applications, you'll lead a team of applications engineers which enable edge-AI and autonomy to platforms across sea, air, and space.. You’ll prioritize and resolve complex issues, mentor your team, and collaborate with internal teams to drive product improvements. With your technical expertise and leadership, you'll play a key role in enhancing customer engagement and supporting the growth of our robotics and autonomy solutions. What you'll do: Become an expert in the Hivemind Autonomy Software Development Kit (SDK). Maintain a deep understanding of the SDK’s features, updates, and use cases to guide the team and assist customers. Serve as a technical and functional team lead for a team of autonomy applications engineers. Guide, mentor, and develop a team of applications engineers to provide expert support and troubleshooting for customers. Manage, prioritize and delegate customer issues. Contribute via code/design/solutions/architecture to internal and customer projects. Support BD in pre-sales and post-sales activities as a technical resource. Ensure timely and effective technical assistance, troubleshooting, and onboarding support for customers implementing the SDK. Oversee and contribute to the creation and continuous improvement of technical resources, such as user guides, FAQs, and knowledge bases. Act as an escalation point for complex customer issues and provide hands-on support when necessary. Coordinate closely with product development, sales, and customer success teams to ensure customer feedback informs SDK improvements and new features. Act as a liaison between customers and internal teams to advocate for customer needs and communicate product updates. Develop and grow your teammates through mentorship and training. Set performance goals, conduct regular evaluations, and foster a collaborative team environment. Develop and refine support processes to improve team efficiency, customer satisfaction, and response times. Track and report on key metrics related to customer engagement, issue resolution, and team performance to stakeholders. Examples of Projects You will Lead: 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 Aerospace Engineering, Computer Science, or a related field 10+ years of experience of industry experience 5+ years of experience in a customer facing engineering role 5+ years of experience as an engineering manager 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 Preferred qualifications: Experience developing software for mobile robot / autonomy applications Experience in the defense aviation or robotics industry Experience building and running a 5–7-person enterprise software applications/solutions engineering team Ability to travel to USA for up to 3 months at a time for training Total package details for U.S. based positions: - Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity - Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days of employment) - Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity Total package details for International positions which are roles based outside of the United States (where applicable): - International premium, hardship differential, cost of living differential, living quarters allowance, foreign service transfer allowance, equity, international benefits, visa assistance, and relocation assistance. 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. 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 . This role is for a seasoned C++ generalist and systems integrator who thrives at the intersection of software, infrastructure, and integration. You’ll lead complex technical efforts across distributed systems and simulation environments, with minimal oversight. Your work will shape foundational capabilities that power autonomy, simulation, and real-time system interfaces across multiple platforms. What You'll Do: Architect and implement high-performance C++ and Python systems across cross-platform environments. Lead the design and integration of distributed systems, simulation tools, and third-party hardware/software. Define and enforce technical direction, design patterns, and integration practices across projects. Guide teams in building robust messaging and API layers (e.g., gRPC, REST, ZeroMQ) that bridge critical system components. Own the evolution and support of CI/CD pipelines using GitLab CI, Docker, Conan, and CMake. Lead debugging and optimization of real-time and multi-threaded systems across a range of domains. Drive end-to-end integration efforts, including planning, implementation, and verification across simulation and operational systems. Serve as a force multiplier by mentoring other engineers and contributing to shared tooling and process improvements. Evaluate and incorporate new technologies that improve system performance, stability, and developer efficiency. Required Qualifications: Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience. Advanced experience designing and maintaining large C++ systems, with fluency in C++14/17/20 and comfort navigating legacy C++98/03 codebases. Proficiency in Linux/Unix environments, including system-level development and debugging tools. Strong systems integration background with practical experience in distributed systems, real-time processing, and hardware/software interfaces. Significant experience with CI/CD systems, containerization (e.g., Docker), and build tooling (e.g., CMake, Conan). Proficiency in Python and familiarity with other scripting and automation tools. Deep knowledge of Linux environments (Windows experience is a bonus). Demonstrated success leading efforts involving 10+ contributors, including technical planning and mentorship. Strong understanding of networking concepts and communication protocols. Preferred Qualifications: Real-time or distributed simulation experience (e.g., AFSIM, NGTS, or similar). Familiarity with message-passing infrastructure and web-service technologies like gRPC, REST APIs, and message queues. Familiarity with open standards like UCI and OMS, and an understanding of data buses and interface protocols common in avionics and aircraft systems. Experience integrating simulation with autonomy frameworks or real-time operators. Experience developing and integrating with modeling or analysis pipelines Total package details for U.S. based positions: - Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity - Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days of employment) - Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity Total package details for International positions which are roles based outside of the United States (where applicable): - International premium, hardship differential, cost of living differential, living quarters allowance, foreign service transfer allowance, equity, international benefits, visa assistance, and relocation assistance. 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. 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 . The Senior Staff 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). REQUIRED QUALIFICATIONS: Bachelor’s degree in Engineering, Computer Science, or a related field. 7+ years of experience of industry experience or 4+ 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. PREFERRED QUALIFICATIONS: Experience in the defense aviation or robotics industry. Experience building and running a small enterprise software applications/solutions engineering team. 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: Join Our Team: Shape the Future of Perception Technology! 🚀 Are you ready to revolutionize the world of perception capabilities for both autonomous and non-autonomous platforms? At the forefront of innovation, we are pushing the boundaries of what’s possible, turning cutting-edge insights into real-time, deep-learning-based solutions to solve practical perception challenges on the edge. Your skills will play a key role in driving transformative solutions that redefine the future. Be part of a dynamic team where innovation meets impact. Let’s shape the future together! What you'll do: Research, design and implement state-of-the-art perception capabilities, taking ideas from conception into world-class field solutions Work with and deploy our AI stack to edge devices Work in collaboration with the other deep learning engineers to architect and develop tools help to scale up our deep learning operations Stay abreast with the literature and actively involve in various R&D project(s) Required qualifications: Demonstrable experience in delivering deep-learning-based solutions to solve computer vision problems with industry-based experience between 3 – 5 years Strong understanding of using convolutional neural networks and/or transformers for object classification, recognition or segmentation Experience working with recent Foundation Models Experience with implementing novel deep learning network architectures using existing frameworks (TensorFlow, Caffe, PyTorch or similar) Relevant tertiary qualifications (Bachelors/Master/PhD in Computer Science or related fields) Preferred qualifications: Publication(s) in world-leading Computer Vision/Artificial Intelligence/Machine Learning conferences/journals (i.e., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, PAMI, JMLR) C++ and/or Python development experience In-depth understanding of the latest deep learning network architectures for computer vision and image processing Experience with any of the following: object detection and target tracking, simultaneous localisation and mapping (SLAM), 3D reconstruction, camera calibration, behaviour analysis, foundation models, vision language models, large multi-modal models, automated video surveillance and related fields Experience deploying deep learning models in an embedded production context, including experience of structured and unstructured pruning, network quantization and performance tuning Experience in maintaining and/or setting up MLOps systems and services Experience in mentoring junior engineers/researchers in the related fields #LE 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. 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, colour, 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.

Opening from US - X-BAT with ITAR exposure, S/SAR Clearance 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 develops AI-powered autonomy software and aircraft systems that protect service members and civilians by enabling intelligent operations in contested environments. As part of the X-BAT program, you will help develop and validate next-generation autonomous aircraft and mission-critical hardware that must perform reliably in demanding operational conditions. Job Description: Shield AI is seeking a Software Engineering Manager to lead the X-BAT Hardware Test Software team. This team builds and sustains automated production test stands used to functionally test avionics and aircraft electrical assemblies. You will lead software engineers developing test frameworks, station-control software, equipment interfaces, data collection, and automated pass/fail evaluation. Our systems interact with custom fixtures, instrumentation, embedded devices, FPGA-enabled hardware, and avionics units under test. The ideal candidate has managed engineering teams and has personally built or led the development of automated hardware test systems used in production, manufacturing, qualification, or other high-consequence environments. You know what robust test automation looks like: safe operation, repeatable results, useful diagnostics, configuration control, traceability, maintainability, and a practical path from prototype to sustained production use. What You'll do: Lead, mentor, and grow a team of software engineers supporting X-BAT avionics production test. Own the technical roadmap and execution for automated test stands, reusable test frameworks, station software, and test-data systems. Build scalable Python-based software for test sequencing, instrument and fixture control, unit-under-test communication, measurement collection, pass/fail evaluation, and reporting. Guide software architecture, code quality, configuration management, CI/CD, release processes, documentation, and operational support. Partner closely with electrical engineers to translate avionics interfaces, functional requirements, and failure modes into automated test coverage. Partner with mechanical engineers to ensure fixtures, cabling, connectors, serviceability, safety, and operator workflows support reliable production testing. Work with FPGA and embedded-software teams to configure, communicate with, and validate FPGA-enabled avionics hardware. Improve test coverage, station uptime, throughput, failure triage, test repeatability, and traceability. Establish metrics and processes for regression health, station reliability, first-pass yield, retest rate, false failures, and recurring failure modes. Support root-cause analysis across the unit under test, fixture, instrumentation, test software, embedded software, FPGA behavior, and electrical interfaces. Required Qualifications: 5+ years of experience in software engineering, test automation, embedded systems, hardware-integrated software, manufacturing test, avionics, aerospace, robotics, automotive, industrial systems, or similar fields. 2+ years of direct people-management experience leading software, test, or hardware-integration engineers. Demonstrated experience building, deploying, and sustaining automated functional-test systems for complex hardware. Strong Python experience, particularly for automation frameworks, hardware communication, instrument control, data acquisition, and test orchestration. Experience with C++ or C in embedded, systems, device-control, or hardware-facing applications. Experience working directly with electrical hardware, test fixtures, instrumentation, and devices under test. Familiarity with FPGA-enabled hardware and the ability to work effectively with FPGA engineers on system-level test and debug. Familiarity with common interfaces and protocols such as Ethernet, TCP/IP, UDP, serial, CAN, SPI, I2C, USB, GPIO, PCIe, or JTAG. Experience with Git, code review, automated testing, CI/CD, release management, and configuration control. Strong communication skills and the ability to work effectively across software, electrical, mechanical, manufacturing, and program teams. Preferred Qualifications: Experience developing automated production test equipment for avionics, aerospace, defense, autonomous systems, robotics, or other mission-critical hardware. Experience designing reusable test frameworks rather than only writing one-off test scripts. Experience with programmable power supplies, electronic loads,, DAQ systems, digital I/O, network equipment, oscilloscopes, logic analyzers, or custom test fixtures. Experience with FPGA programming, bitstream management, register-level control, JTAG, board bring-up, or FPGA-adjacent debug. Experience with embedded Linux, microcontrollers, board-support packages, device drivers, or real-time systems. Experience with production traceability, serial-number tracking, test-result databases, calibration workflows, manufacturing systems, or quality systems. Experience in a regulated, safety-critical, mission-critical, or configuration-controlled engineering environment. Closing from US - X-BAT with ITAR exposure, S/SAR Clearance 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 member of the Australian Engineering Team, you will contribute to the design and integration of solutions across the Hivemind Vision and Mission Autonomy technology stacks. This role supports the growth and capability maturation of the Hivemind Solutions division in Australia, enabling delivery for key customer programs and internal R&D initiatives. In this role, you will collaborate closely with: Program leadership to define the appropriate systems engineering scope and level of effort. System Design Teams (e.g., Human Factors, UX, Architecture) to decompose solution designs into actionable technical detail. Development, Integration, and Test teams to define and evolve system architectures supporting autonomy, perception, and mission‑level behaviors. What you'll do: As a contributor to the Australian Engineering group, you will be responsible for: Capturing end‑to‑end system requirements for Hivemind Vision Systems and integrated autonomy solutions. Supporting the design and development of system architectures spanning perception, autonomy, and mission‑level workflows. Using MBSE tools to document, maintain, and extend existing architecture models supporting new integrations, capabilities, and customer requirements. Developing and maintaining models using UML, SysML, and/or UPDM. creating SysML models with emphasis on system decomposition, functional flows, interfaces, and system behavior. Collaborating with subject‑matter experts to improve tooling, automation, and connections between system models and codebases. Supporting the evolution and execution of the systems engineering process across the Australian engineering organization. Engaging cross‑functionally with product management, program management, engineering, and business development teams. Reporting status, risks, accomplishments, and expectations to senior engineering and program leadership. Required qualifications: A minimum of 7 years of systems engineering or related experience with a Bachelor’s degree; or 5 years with a Master’s degree; or 2 years with a PhD; or equivalent practical experience. B.S. degree in a STEM field (e.g., Systems, Software, Aerospace, Mechanical, Electrical Engineering). Experience with systems engineering practices, including writing, structuring, and verifying requirements. Experience with MBSE and system‑modeling workflows. Experience working on cross‑functional technical teams. Strong communication skills, written and verbal. Highly organized, methodical, and comfortable managing detailed technical information. Ability to read, interpret, and apply engineering drawings, assembly diagrams, parts lists, wiring diagrams, and schematics. A demonstrated track record of integrity, high standards, teamwork, and professionalism. #LI-AD7 #LE 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. 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, colour, 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 Senior C++ Software Engineer, Edge Systems to define and build the software foundations that power autonomous systems operating in demanding real-world environments. This role sits within the Edge Systems team, where software meets hardware. You will solve complex engineering problems spanning Linux edge computing, imaging, sensor integration, mission systems, and autonomy, building software that runs on real hardware in operational environments rather than laboratory prototypes. As a Senior Staff Engineer, you will provide technical leadership across the Edge Systems domain. You will shape architecture and long-term technical direction across multiple teams and products, lead the resolution of complex cross-cutting problems, and establish engineering approaches that improve the effectiveness of the broader organisation. This is a hands-on technical leadership role. You will continue to design, write, review, test, and debug production software, while focusing your individual contribution on the organisation’s highest-risk and highest-leverage technical problems. You will develop modern C++ software for Linux-based edge compute platforms, including NVIDIA Jetson-class and ARM64 systems. Your work will span sensor integration, imaging pipelines, calibration, diagnostics, deployment, developer tooling, and mission-critical applications that demand high performance, reliability, and maintainability. This is an application and systems software role focused on Linux-based edge computing, rather than bare-metal firmware or microcontroller development. No two weeks look the same. One day you might be optimising image-processing pipelines on embedded GPUs. The next you could be defining architecture for future autonomous platforms, leading the integration of new sensors, or collaborating with AI researchers to bring new capabilities into production. You will work alongside highly capable systems, hardware, autonomy, AI, product, and test engineers who enjoy solving difficult problems together. We believe our strongest technical leaders remain hands-on, and we expect our Senior Staff Engineers to continue writing software while multiplying the effectiveness of the engineers around them. What you'll do: Technical Leadership Own and evolve the technical direction of significant edge software capabilities spanning edge compute, imaging, sensor integration, and mission systems. Define architecture and technical strategy across multiple projects, products, and engineering teams. Lead the resolution of complex, ambiguous, or cross-cutting technical problems where ownership spans organisational boundaries. Establish reusable platform capabilities, interfaces, standards, and engineering practices adopted by multiple teams. Provide technical leadership for major design decisions, including their trade-offs, risks, migration strategies, and long-term consequences. Identify systemic technical risks and drive coordinated action before they materially affect delivery or product reliability. Mentor senior engineers and develop other technical leaders, increasing the capability and autonomy of the wider organisation. Partner with engineering, systems, autonomy, AI, product, and program leadership to translate business and product direction into sustainable technical roadmaps. Balance long-term platform investment, technical debt, operational risk, and near-term product delivery. Communicate complex technical decisions, strategy, and risks clearly to both engineering and non-engineering stakeholders. Software Engineering Design, develop, test, and maintain production C++ software for edge systems, imaging systems, mission applications, developer tooling, diagnostics, and automated testing. Build user-space Linux applications for NVIDIA Jetson, ARM64, and other edge compute platforms connected to cameras, sensors, and mission systems. Integrate RGB, NIR, and thermal cameras alongside GPS, IMU, and other sensors using operating system APIs, middleware, vendor SDKs, and hardware-facing interfaces. Develop calibration, synchronisation, data capture, observability, diagnostics, inspection, and configuration tools for complex sensor systems. Optimise software for latency, throughput, reliability, power utilisation, and thermal performance on constrained edge compute platforms. Debug challenging issues spanning application software, Linux, networking, hardware interfaces, timing, deployment, and system integration. Own technical outcomes for complex, cross-team initiatives from ambiguous problem framing through architecture, implementation, integration, verification, deployment, and sustained operation. Collaborate across systems, hardware, AI, autonomy, product, and test teams to deliver integrated capability. Required qualifications: Degree in Computer Science, Software Engineering, Electrical Engineering, Robotics, or a related discipline, or equivalent industry experience. Extensive industry experience developing modern C++ software for Linux. Demonstrated experience developing user-space applications that interface with cameras, sensors, networking, GPUs, storage, or other hardware through operating system APIs, middleware, or vendor SDKs. Deep practical experience developing, profiling, and debugging software on Linux. Experience deploying complex C++ software to Linux-based edge compute platforms such as NVIDIA Jetson or comparable ARM64 systems. Strong software engineering fundamentals, including concurrency, interface design, memory management, data structures, algorithms, testing, and version control. Proven ability to diagnose complex issues across software, Linux, networking, timing, hardware integration, and deployment boundaries. Experience owning complex technical work from incomplete requirements through design, implementation, integration, verification, deployment, and support. Excellent communication and collaboration skills across multidisciplinary engineering teams. Successful Senior Staff Engineer candidates will demonstrate: A sustained record of defining architecture for large, complex, or mission-critical software systems. Demonstrated technical influence across multiple teams, products, or engineering disciplines. Leadership of complex initiatives where success depended on alignment across organisational boundaries. Proven technical leadership through influence, sound judgement, and credibility rather than organisational authority. Experience mentoring senior engineers and developing other technical leaders. Ownership of long-term technical strategy alongside hands-on engineering and product delivery. Evidence of establishing platforms, standards, interfaces, or engineering practices adopted beyond their immediate team. Strong judgement when balancing performance, reliability, maintainability, scalability, delivery, and operational risk. The ability to communicate technical strategy, decisions, and risks to senior engineering, product, and business stakeholders. Preferred qualifications: We do not expect candidates to have all of the following. Experience in any of these areas will help you stand out. Runtime-critical, multi-threaded, or performance-sensitive C++ software. High-throughput imaging or sensor-processing pipelines, including camera integration, ISP tuning, GStreamer, FFmpeg, OpenCV, or similar technologies. Hardware-accelerated processing on edge compute platforms, including NVIDIA Jetson, CUDA, GPU compute, embedded AI accelerators, or accelerated video processing. Integration of RGB, NIR, and thermal cameras, GPS, IMU, GPUs, or comparable peripheral hardware. Robotics, aerospace, defence, autonomy, unmanned systems, automotive, or other mission-critical domains. Systems architecture, interface design, software decomposition, reliability, maintainability, and testability. Low-level Linux, vendor SDKs, driver-adjacent debugging, NixOS, edge AI inference, containerisation, or application deployment tooling. Automated testing, simulation, software-in-the-loop, or hardware-in-the-loop environments. #LE 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. 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, colour, 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.