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 Senior AI Engineer, Hivemind Learning & Development is a hands-on individual contributor who will build the AI-powered products, content systems, and measurement capabilities that help engineers learn Hivemind faster and apply it successfully. Embedded within the Hivemind Learning & Development team, this role combines production AI engineering, developer experience, and technical education. You will own an AI training coach that provides grounded, context-aware guidance; create tooling that turns learning objectives and product changes into high-quality workshops; and partner with autonomy experts to produce deeply technical curricula, labs, and assessments. The role works closely with Applications Engineering, Hivemind engineering and Customer Success. Success is defined by trusted learning products that ship, shorter time to technical proficiency, faster and more consistent workshop development, content that stays current with Hivemind releases, and clear evidence that training improves customer capability and product adoption. What you'll do: Develop an AI-powered training coach that helps people learn Hivemind concepts, products, and development workflows. Create highly technical Hivemind training materials and hands-on workshops for engineers and other technical learners. Build prompt-based tooling that generates workshops and supporting learning content from defined objectives, audiences, and source materials. Create LLM-based tooling that automates the ongoing upgrade and improvement of Hivemind training and educational materials. Build AI tools and systems that enable, streamline, and automate Hivemind Learning & Development workflows. Required qualifications: Progressive experience building production software, AI-enabled products, developer tools, technical learning platforms, or comparable systems. Hands-on experience integrating large language models, generative AI APIs, retrieval-augmented generation, agents, prompt workflows, or AI-assisted automation into production or enterprise environments. Strong software engineering fundamentals, including API design, testing, observability, documentation, secure coding, maintainable architecture, and operational ownership. Professional proficiency in Python and the ability to read, debug, and create credible examples in modern C++. Experience translating complex software or systems concepts into clear technical documentation, hands-on labs, workshops, developer education, or enablement material. Ability to learn a sophisticated technical product quickly, work directly with subject-matter experts, and convert ambiguous needs into practical, testable learning solutions. Experience evaluating AI system quality using automated tests, structured human review, telemetry, or task-based performance measures. Clear written and verbal communication skills, sound technical judgment, and a collaborative style suited to engineers, instructors, customers, and cross-functional partners. Preferred qualifications: Experience with autonomy, robotics, aerospace, defense, simulation, distributed systems, or safety-critical software. Experience with developer education, instructional design, learning science, intelligent tutoring systems, or assessment design for highly technical audiences. Familiarity with AI evaluation and observability, prompt and agent testing, vector databases, enterprise search, model gateways, and deployment in restricted or disconnected environments. Experience designing and facilitating hands-on technical workshops for customer engineers, including troubleshooting live technical environments. Bachelor's degree in Computer Science, Engineering, Robotics, Data Science, Learning Technology, or a related field, or equivalent practical experience. Why this role matters: Hivemind gives engineers a comprehensive platform to develop, test, and deploy AI pilots. The value of that platform depends on how quickly technical teams can build sound mental models, complete real workflows, and apply the software with confidence. This engineer will create the learning systems that make expert knowledge available at the moment of need, reduce the delay between product change and customer readiness, and help the Learning & Development team scale quality without losing technical rigor. #LI-KC3 #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: The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ...). The charter of this group is to steer technology development towards strategic alignment with the CTO’s vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI’s software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase). The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens shoulder-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the former case, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization. What you'll do: Design and prototype generative AI experience focused on accelerating autonomy development Work closely with members of the Office of the CTO to crystallize the vision of the Hivemind product and its documentation Lead the user experience design of Hivemind Generative AI Work closely with the technical leads of Hivemind Commander (mission planning, command and control, air-ground communications) and Hivemind Design (configurations, test and evaluation, rehearsal, analysis) to enhance the user experience of their products Conduct user research to understand user personae and their needs Investigate competing products and their user experiences, synthesize findings to present to engineering and product leadership Required qualifications: 15+ years experience developing large, production quality software systems. Excellent grasp of software development and coding principles with high productivity in a mainstream language (e.g. Typescript, C++, Go, Python, Rust, etc.). Strong knowledge of modern software engineering best practices; Experience with Git and code management tools; Good software hygiene regarding code documentation, unit testing, bug tracking. 5+ years of experience with React/Node/Typescript/Javascript development. 5+ years of experience with Web applications development ("Front-End" or "Full-stack"). Deep understanding full-stack web development (Document-Object Model (DOM), browser APIs, standards, semantics, Websockets, HTTP Streaming and Server-Sent Events (SSE), Client and UI state management; best practises and strategies, as they apply to React-based rendering, Advanced SPA routing, URL-based state persistence,sharing mechanisms, Seamless content loading states and progressive rendering techniques.) Multi-modal input handling (text, files, images, audio). Experience with client-side LLM Context Management Fluid intelligence that allows one to operate effectively in sometimes ambiguous conditions, while finding opportunities to drive technical efforts and force multiply. Experience with Linux, Docker, and CI/CD environments. Hands-on experience with a major cloud platform (Azure, GCP, AWS). This role requires travel to a Shield AI location 1-3 times per quarter Preferred qualifications: Experience with geospatial data and WebGL. Experience with Playwright UI testing Experience with Electron (or similar). Building debugging/inspection UIs for generative AI systems Experience with user experience design video games Experience designing for “Low Code” or “No Code” systems Experience and/or comfort reading C++ and/or Python and/or Typescript #LI-KC3 #LF 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’re looking for a Software Engineer to join our team developing next-generation Ground Control Station (GCS) applications for unmanned aerial systems (UAS). This role is ideal for engineers with a strong foundation in real-time, performance-sensitive software who also bring experience with modern web technologies. You’ll work on mission-critical software that bridges responsive user interfaces with robust backend systems, enabling human operators to plan, command, and monitor autonomous assets with precision and reliability. What you'll do: Design, develop, and optimize ground control software that enables low-latency communication with UAVs and other autonomous platforms. Build high-performance client and server applications that support telemetry processing, mission planning, and real-time control. Implement responsive user interfaces with React and TypeScript for operator workflows and visualization of spatial data, sensor feeds, and mission state. Collaborate closely with teams across autonomy, embedded systems, backend, and UX to deliver integrated, field-ready solutions. Contribute to architectural decisions and system designs that ensure responsiveness, scalability, and fault-tolerance. Lead development efforts on key features or subsystems, from early design through deployment and iteration. Write high-quality, well-tested code and participate in peer design/code reviews. Required qualifications: Senior: Bachelor’s degree with 5+ years of relevant experience, or Masters with 4+ years, or PhD with 2+ years. Staff: Bachelor’s degree with 7+ years of relevant experience, or Masters with 6+ years, or PhD with 4+ years. Senior Staff: Bachelor’s degree with 10+ years of relevant experience, or Masters with 9+ years, or PhD with 7+ years. Demonstrated experience building real-time or performance-sensitive applications—preferably for UAVs, robotics, autonomous vehicles, or simulation environments. Proficiency in a strongly typed programming language (e.g. C#, TypeScript, Java, C++) with exposure to lower-level systems or protocol integration. Experience with web technologies, especially React, TypeScript/JavaScript, and Node.js. Strong software engineering fundamentals including version control, testing, debugging, and performance profiling. Proven ability to deliver high-quality software as part of a collaborative engineering team. Ability to obtain security clearance. Preferred qualifications: Experience with GCS software, mission planning tools, or real-time visualization platforms. Familiarity with API-driven systems using REST or gRPC, and communication protocols like WebSocket or custom telemetry formats. Knowledge of standards such as STANAG 4586, Cursor on Target (CoT), or MAVLink. Familiarity with containerized environments (e.g., Docker, Kubernetes) and CI/CD practices. Exposure to distributed systems and cloud integration for telemetry data pipelines. Understanding of security best practices in control systems and networked applications. #LI-AA1 #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: This Engineering Technician will support XBAT prototype ground testing and flight testing. This hands-on role will work closely with Quality, Manufacturing Engineering, Test Engineering, and Design Engineering to verify hardware quality, identify and investigate issues, and ensure prototype configurations and test articles meet defined requirements. What you'll do: Perform in-process, final, pre-test, and post-test inspections of XBAT prototype hardware. Inspect mechanical, electrical, structural, composite, and electromechanical assemblies using appropriate measurement equipment. Verify hardware configuration, workmanship, dimensions, torque, installation, and traceability against engineering requirements. Support ground and flight test readiness by verifying required inspections and documentation are complete. Inspect and document hardware condition following testing, including damage, failures, and abnormal conditions. Collect objective evidence such as measurements, photographs, and inspection results to support engineering investigations. Identify, document, and contain nonconformances; support MRB, root-cause investigations, and corrective actions. Work directly with Quality, Manufacturing, Test, and Design Engineering to resolve prototype quality issues. Support development and improvement of inspection plans, checklists, acceptance criteria, and quality processes. Maintain accurate inspection, configuration, and quality records for serialized prototype hardware. Identify recurring issues and provide feedback to engineering and manufacturing teams to improve product and process quality. Required qualifications: 10+ years of experience in aerospace, defense, manufacturing, aviation, or a related technical field. Experience supporting prototype development or flight testing. Experience with hands-on inspection, testing, manufacturing, or troubleshooting of complex aerospace hardware. Ability to read engineering drawings, specifications, and work instructions. Preferred qualifications: Experience with UAVs, aircraft, flight hardware, or aerospace structures. Experience with GD&T, composites, electrical systems, or electromechanical assemblies. Experience with nonconformance, MRB, RCCA, or failure investigation. Familiarity with AS9100. #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 Quality Assurance to support the development and flight test of the X-BAT program. This role is heavily embedded with flight test and engineering operations and is responsible for ensuring test articles are properly configured, inspected, documented, and ready for safe and effective ground and flight testing.You will work closely with flight test, systems, design, manufacturing, test engineering, and program teams to identify and manage quality risks, resolve discrepancies, maintain configuration and traceability, and ensure test activities are executed in accordance with engineering requirements and approved processes. What you'll do: Support ground and flight test readiness, including hardware inspections, configuration verification, test article acceptance, and review of test documentation Work directly with flight test and engineering teams to identify, document, and resolve hardware, configuration, process, and test discrepancies Review engineering drawings, specifications, test procedures, work instructions, configuration records, and acceptance criteria Ensure test articles meet applicable engineering, quality, safety, and configuration requirements before testing Support execution of ground and flight test activities, including inspections, test point readiness, discrepancy resolution, and post-test evaluations Manage nonconformances, test discrepancies, and quality records through appropriate containment, investigation, disposition, and corrective action Lead or support root cause analysis and corrective actions for product, process, and test-related issues Identify emerging quality risks and work with engineering and test teams to implement practical mitigations Analyze test and quality data to identify trends, recurring issues, and opportunities to improve development and test processes Support configuration management and traceability of developmental hardware, assemblies, and test articles Ensure objective evidence and quality records are complete and support product and test requirements Promote a culture of safety, technical rigor, accountability, and disciplined execution in developmental test operation Required qualifications: Bachelor’s degree in engineering, science, technology, quality, or related field, or equivalent experience supporting developmental test operations 5+ years of experience supporting developmental and/or operational ground or flight test Experience working directly with developmental aircraft, complex aerospace hardware, or mission-critical systems Ability to interpret engineering drawings, technical specifications, bills of materials, test procedures, work instructions, and acceptance requirements Comfortable working in a fast-paced developmental test environment with changing requirements and priorities Willingness to work outdoors at test ranges and travel as required Overtime, evening, and weekend coverage as required by flight test operations Preferred qualifications: 10+ years of experience supporting developmental or operational flight test Experience with unmanned aircraft, prototype aircraft, weapons systems, or other mission-critical aerospace systems Experience with flight test readiness, test article acceptance, configuration verification, or post-test inspection Working knowledge of AS9100 and aerospace/defense quality requirements Experience with MRB, NCR, RCCA, CAPA, and other quality processes Experience with configuration management and engineering change processes Familiarity with inspection and measurement methods used for aerospace hardware ASQ Certified Quality Engineer, Six Sigma, or related certification #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.

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 Regional ICT Lead is accountable for the design, delivery and secure operation of all information and communications technology supporting Shield AI’s Australian regional hub and its programs across the Asia Pacific and Middle East. The role leads a small, high-calibre ICT team and is the single point of regional accountability for network, cloud, endpoint and identity services, and for the compliance controls that allow a US-parented business to deliver sovereign Australian defence outcomes. This is a hands-on leadership role. It combines people and vendor management with deep technical credibility, and it requires the judgement to reconcile global enterprise standards with Australian sovereignty, export-control and need-to-know obligations. The successful candidate will be equally comfortable in a server room, in front of a customer or certifier, and in a policy discussion with the parent company’s security and IT leadership. What you'll do: Team leadership and ICT management Lead, develop and grow a small team of ICT professionals; own hiring, performance management, workload allocation, on-call rostering and capability development. Set the regional ICT strategy, roadmap and annual operating plan; own the regional ICT budget, forecasting and capital planning. Manage local vendors, managed service providers, carriers and licensing agreements, including commercial negotiation and service-level accountability. Establish and enforce regional standards for documentation, change management, incident response and service delivery, aligned to ITIL or an equivalent framework. Network and infrastructure Own the end-to-end regional network: campus and access-layer switching, wireless, routing, SD-WAN and WAN services, firewalls, VPN, DNS, DHCP, and monitoring. Design and maintain segmented network enclaves that separate corporate, program and test environments in line with data-handling and need-to-know requirements. Own site-to-site connectivity with the US parent company and partner organisations, including the controls that govern what traverses those links. Deliver connectivity and compute for deployed, remote and flight-test locations, including transportable and low-bandwidth environments. Manage server, storage, virtualisation and colocation infrastructure supporting regional engineering and program workloads. Cloud and platform operations Own regional cloud architecture and operations across AWS and/or Azure, including landing-zone design, tenancy and subscription structure, identity federation and network integration. Ensure workloads and data reside in appropriate sovereign regions, and that data residency, jurisdiction and access constraints are enforced by design rather than by policy alone. Drive infrastructure-as-code, automation and configuration management; use scripting and agentic AI tooling to reduce manual operational load. Own cloud cost governance, capacity planning, backup, resilience and disaster recovery for the region. Export control, data classification and sovereignty Act as the regional ICT authority for export-control compliance, working with Trade Compliance and Legal to implement ITAR, EAR and Australian Defence Trade Controls Act obligations in the technical environment. Design and operate access controls that reliably segregate data by nationality, program, clearance and need-to-know — including AUS-only, US-only and AUS/US-EYES-ONLY handling. Translate Technical Assistance Agreements, licences and program security instructions into enforceable IT controls, and evidence that enforcement to auditors and customers. Manage the interface with the US parent company on global tooling, tenancy and security policy; negotiate regional variations where sovereignty or export control requires them, and articulate the rationale clearly to both sides. Support onboarding of foreign nationals, visitors and seconded personnel with correct system access, monitoring and offboarding. Security and compliance Maintain regional alignment to the ASD Essential Eight and the Information Security Manual, and support Defence Industry Security Program (DISP) membership obligations. Own identity and access management, privileged access, endpoint security, logging, and patch and vulnerability management for the region. Partner with global security and the regional security officer on incident response, insider-risk controls, audits, assessments and certification activity. Support the accreditation and ongoing assurance of program-specific and classified environments. Service delivery and program support Deliver reliable day-to-day IT services across Windows, macOS and Linux endpoints, identity, collaboration tooling and asset management. Provide high-touch support to regional executives, visiting leaders, customers and board members. Provide ICT input into new site establishment, facility fit-out, program bids and customer engagements, including cost and schedule estimates. Manage the regional IT asset lifecycle from procurement and deployment through inventory, licensing, refresh and secure decommissioning or destruction. Required qualifications: Australian citizenship, and an NV1 security clearance held or the demonstrated ability to obtain and maintain one. 10+ years in enterprise ICT across infrastructure, network and systems administration, with progressive increases in scope and accountability. 3+ years directly leading technical teams, including hiring, performance management and development of engineers. Demonstrated ownership of enterprise networking: routing and switching, SD-WAN or WAN services, firewalls, VLANs and segmentation, wireless, VPN, DNS, DHCP and network monitoring. Hands-on cloud engineering and operations experience in AWS and/or Azure, including identity federation, network integration, IaC and cost management. Strong administration across Windows, macOS and Linux, with Active Directory, Microsoft Entra ID, group policy, IAM, Intune and Jamf. Practical experience working inside a multinational structure — ideally as the in-country lead reconciling a foreign parent company’s global standards with local regulatory obligations. Working knowledge of export control and data-classification regimes, and the ability to translate them into technical controls: ITAR, EAR, the Defence Trade Controls Act 2012, and Australian Government classification and handling requirements. Experience operating in classified, need-to-know or otherwise access-restricted environments. Scripting and automation capability (PowerShell, Bash or Python) and a strong bias toward automating operational work. Excellent written and verbal communication, with the credibility to brief executives, customers and certifiers, and the clarity to explain constraints to non-technical stakeholders. Willingness to travel domestically and regionally, participate in an on-call rotation and support scheduled after-hours maintenance. Experience with a defence prime, defence SME or Defence itself, delivering ICT into Australian Defence programs. Familiarity with AUKUS Pillar 2 arrangements, licence-free environment provisions, or equivalent bilateral technology-sharing frameworks. Experience establishing or maintaining DISP membership, or supporting IRAP assessments and ISM-aligned accreditation. Experience standing up ICT for a new site, facility or country entry. Exposure to Indo-Pacific delivery, partner-nation engagement or deployed operations. Experience automating IT operations and workflows using agentic AI capability. Relevant certifications: AWS or Azure architecture, CCNP or equivalent, CISSP, ITIL. 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: 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 stack-up 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: 10+ years of experience in PCB layout for production hardware (or equivalent combination of education and experience) Preferred qualifications: Solid understanding of IPC standards (IPC-2221/2222, IPC-7351, etc.) Familiar with PCB materials and manufacturing process, and stack-up construction. Familiarity with controlled-impedance routing, differential pairs, length matching, and high-current power distribution. Experience with scripting and automation Experience with Altium Designer Experience using simulation tools to validate layout designs #LI-JW4 #LE Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Shield AI 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 Senior Staff Software Engineer, Autonomy will function as a hands on technical lead / subject matter expert and collaborate with Shield AI teammates / customers to build edge-AI and autonomy software for 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, and mentoring teammates. What you'll do: 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! Learn Hivemind: Become an expert user of the Hivemind Enterprise Autonomy Software Development Kit. Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision. High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments. Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios. Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior. Hardware Software Integration: Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms. Deployment & Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions. Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development. R&D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission. Program Support & Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback. Handover / Training: Provide software handover and training to customers for their autonomy development efforts. Documentation: Develop and maintain technical documentation for customer as well as internal use. Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).Travel to and stay at customer sites as required for deployment / training / flight testing etc. (~30% travel). Required qualifications: Bachelor’s and Masters degree in Aerospace, AI, Computer Science, Robotics or a related engineering field. 12+ years of experience of industry experience Ability to travel and stay deployed at customer sites across India/Asia. 3+ years of experience hands on writing software for autonomy/robotics applications. 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. Ability to travel to USA for up to 3 months at a time for training. #LI-LD2 #LE 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 . Job Description: As a GenAI Tooling & Developer Experience Engineer on the HMS DevOps Team, you will design, develop, and maintain the GenAI tooling that accelerates the development velocity of your fellow software engineers. You will collaborate with robotics and autonomy software engineers to understand their workflows, remove friction, and enable effective GenAI-assisted development in both commercial and government environments while meeting requirements for secure, controlled data. You will build the automation, infrastructure, and integration layers that make GenAI useful across the software engineering organization. You will streamline processes across GitLab, Jira, and Confluence so colleagues spend less time coordinating work and more time creating software. You will apply your expertise in C++, Python, build systems, and developer tooling to provide more power and context to our developers and GenAI tools. This is a high-leverage role where your impact scales through the work of others: every improvement you make to GenAI tooling, automation, and developer workflows will help engineers across HMS move faster, work more securely, and spend more time solving the hardest robotics and autonomy problems. What you'll do: Design, develop, and maintain GenAI-enabled developer tools for C++, Python, and Node.js software projects. Partner with robotics and autonomy engineers to identify high-friction workflows and convert them into secure, repeatable GenAI-assisted tooling. Extend our custom GenAI harness with Python or Bash tools, secure LLM routing, audited execution paths, and local containerized environments. Build integrations across GitLab, Jira, Confluence, and internal developer systems to provide GenAI tools with useful engineering context. Improve build, test, and developer-environment workflows, including GenAI-assisted adoption of reproducible Nix development environments. Support engineers adopting GenAI tooling through documentation, examples, troubleshooting, and feedback-driven improvements. Required qualifications: Typically requires a bachelor's degree in Computer Science, Computer Engineering, or related technical discipline, or equivalent practical experience. Fluent with GenAI-assisted development. You can pair with AI tools to explore ideas, generate code, debug issues, and quickly turn rough concepts into working prototypes. Hands-on experience building LLM-powered tools for software development. 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). Ability to obtain and maintain an active U.S. SECRET security clearance (U.S. citizenship required). Preferred qualifications: Practical experience building, maintaining, and scaling enterprise CI/CD systems. Experience developing tools in CUI and ITAR environments. Expertise in tuning LLMs for specialized use Familiarity with deploying custom LLMs #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.

This position on the Autonomy team in India will lead the delivery of autonomous behaviors into our products, acting as technical leads, senior individual contributors, and/or as team leads that are also hands-on contributors. We expect candidates to demonstrate unparalleled end-to-end outcome ownership, driving the architecting, design, delivery, support, and evolution of safe and effective mission autonomy software throughout the entire product lifecycle. What you'll do: Develop tactical autonomy software to enable unmanned platforms to perform complex missions across air, land, sea, and space domains with minimal human supervision Implement and test behaviors that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios Work throughout the entire of the software development lifecycle, from requirements capture through design, implementation, verification, and validation, utilizing tools and workflows consistent with collaborative high-quality software development Champion a product-line mindset in technology road-mapping and to enable reuse of behaviors across multiple projects and portfolios Utilize your software and systems expertise to architect behaviors as scalable software subsystems, that may interact directly or indirectly with a breadth of system components (e.g., sensor processing, state estimation, peer-to-peer communications, contingency management, actuation, and payload interfacing) Leverage internal product and program-specific engineering teams to rapidly deliver state-of-the-art capabilities to vehicle platforms (whether internally and externally owned), with a clear path towards architecture and capability evolution over time Collaborate with external teams, aligning on interfacing requirements between diverse systems, often working closely with vehicle integration teams and associated operational subject matter experts (e.g., fighter pilots, UAV operators, etc.) Act as a subject matter expert for software engineering, representing software equities in a multi-stakeholder environment including engineering, business and sales leadership. Travel to co-locate with end-users and/or other teams up to 20% of the time Required qualifications: BS /MS/PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field Proficient in production-level C++ software development 7+ years' experience in one or more of the following: software sub-system scheduling and integration, behavior planning, task and resource allocation, motion planning, optimization, or flight controls Experience with collaborative software development tools for version control, issue tracking, code reviews, and release management Proven ability to lead multi-disciplinary teams, set technical direction, and manage full project lifecycles from concept to deployment Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity Desire to work in a highly collaborative, fast paced, enthusiastic, and mission-centric environment Capacity to act as the technical owner for an entire software system, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment, and evolution Preferred qualifications: Experience across a breadth of technology readiness levels (TRLs) and demonstration of bridging concepts from research-grade to operationally ready Experience with mission systems integration, and ideally, hands-on experience supporting integration events and/or flight demonstrations Experience across a multitude of application areas, including but not limited to: Collaborative mission planning, behavior planning, synchronized teaming Automated red force vs blue force tactics Motion planning across a variety of vehicle classes, kinematic constraints, and team compositions Weapons target assignment, Sensor target pairing, sensor-centric control laws Collision avoidance, geofencing, and safety-monitoring Experience in more than one operational effect (e.g., strike, air combat, surveillance,