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: We are seeking an experienced Cybersecurity Platform Engineer to engage in the design, implementation, and optimization of complex software and network infrastructures. This role requires deep expertise across network engineering, cybersecurity protocols, and server room / hardware infrastructure, with a strong ability to communicate and develop Base Media Solutions. The ideal candidate will operate in a hands-on manner, serving as a technical expert and a key contributor in decision-making across network and infrastructure domains. What you'll do: Decompose, allocate and implement cyber security requirements into system architecture. Enforce network security architecture, ensuring compliance with cybersecurity standards and best practices. Develop documentation for installations and configurations required to obtain Authorizations to Operate (ATOs). Optimize secure network topologies, including segmentation, firewalls, VPNs, and zero-trust models. Collaborate with cybersecurity engineering to implement STIGs and develop Base Media solutions that enable execution of Plans of Actions and Milestones (POAMs) to mitigate cyber risks. Collaborate with cybersecurity teams to implement threat detection, mitigation, and incident response strategies. Provide technical insight on X-BAT GCS cybersecurity stack to cross-functional teams. Ensure system scalability, reliability, and performance through proactive design and monitoring strategies Support troubleshooting and resolution of complex network and infrastructure issues. Work with Network Engineering teams on implementing Voice Over IP Capabilities. Required qualifications: This position requires the ability to obtain and maintain a DoD government clearance at the Secret level Bachelor’s or Master’s degree in Cybersecurity, Computer Science, Computer Engineering, or related IT field 5+ years of experience in platform engineering, cybersecurity or network engineering roles Knowledge of network protocols (TCP/IP, DNS, DHCP, etc.) Strong expertise in cybersecurity frameworks and protocols (Zero Trust, NIST SP 800-53 & 800-63B, ISO 27001, firewalls, IDS/IPS, encryption standards) Hands-on experience with enterprise networking hardware (routers, switches, firewalls, load balancers) Experience with cloud networking (AWS, Azure, or GCP) and hybrid environments Experience implementing Voice Over IP solutions. Preferred qualifications: Industry certifications such as CCIE, CCNP, CISSP, or equivalent Strong DevSecOps background with hands-on Kubernetes (admission control, OPA/Gatekeeper, workload identity) and Terraform (reusable secure modules, policy-as-code). Experience designing architectures for classified networks. Experience with software-defined networking (SDN) and network automation Familiarity with DevOps and Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible) Knowledge of compliance requirements (e.g., FedRAMP, DoD, or other regulated environments) #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: Our Applications Engineers are highly technical, customer-facing problem solvers who play a critical role in deploying Shield AI’s Hivemind software in real-world environments. In this role, you will work closely with customers to understand their requirements, provide technical expertise and customer support during deployment, and ensure successful integration of Hivemind. You’ll also collaborate internally with engineering teams to develop and test new autonomy capabilities. This role is travel-intensive, with frequent trips, often international, and sometimes lasting multiple weeks, to work directly alongside customers on-site. What you'll do: Deploy with customers on site globally (~50% travel) to support software integration and development activities. Become an expert user of the Hivemind enterprise software stack and its various autonomy modules. Provide technical support and training to customers on use of Hivemind. Develop AI & Autonomy applications using the Shield AI enterprise software development kit . Assist the sales team in pre-sales activities, e.g., demos, conferences, immersions Assist in post-sales deployment and integration of Shield AI enterprise software products. Develop and maintain technical documentation and training materials. Help customers debug software/API integration issues. Collaborate with the product engineering team to address customer feedback and improve products. Act as a technical leader across engagements by elevating team performance, driving execution across cross-functional teams, and ensuring successful delivery in complex environments. Required qualifications: Bachelor’s degree in Engineering, Computer Science, or a related field, and 7+ years of industry experience , OR Master’s degree in Engineering, Computer Science, or a related field, and 5+ years of industry experience . Strong technical background in software engineering. Strong proficiency in writing modern C++ code. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Preferred qualifications: Experience in the defense, aviation, or robotics industry. Prior experience as a customer-facing solutions engineer, application engineer, or sales engineer. Experience operating in a fast-paced, startup-like, environment. Advanced technical degree, especially in robotics or autonomy related fields #LI-FB1 #LD 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: Our Applications Engineers are highly technical, customer-facing problem solvers who play a critical role in deploying Shield AI’s Hivemind software in real-world environments. In this role, you will work closely with customers to understand their requirements, provide technical expertise and customer support during deployment, and ensure successful integration of Hivemind. You’ll also collaborate internally with engineering teams to develop and test new autonomy capabilities. This role is travel-intensive, with frequent trips, often international, and sometimes lasting multiple weeks, to work directly alongside customers on-site. What you'll do: Deploy with customers on site globally (~50% travel) to support software integration and development activities. Become an expert user of the Hivemind enterprise software stack and its various autonomy modules. Provide technical support and training to customers on use of Hivemind. Develop AI & Autonomy applications using the Shield AI enterprise software development kit . Assist the sales team in pre-sales activities, e.g., demos, conferences, immersions Assist in post-sales deployment and integration of Shield AI enterprise software products. Develop and maintain technical documentation and training materials. Help customers debug software/API integration issues. Collaborate with the product engineering team to address customer feedback and improve products. Required qualifications: Bachelor’s degree in Engineering, Computer Science, or a related field, and 5+ years of industry experience , OR Master’s degree in Engineering, Computer Science, or a related field, and 3+ years of industry experience . Strong technical background in software engineering. Strong proficiency in writing modern C++ code. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Preferred qualifications: Experience in the defense, aviation, or robotics industry. Prior experience as a customer-facing solutions engineer, application engineer, or sales engineer. Experience operating in a fast-paced, startup-like, environment. Advanced technical degree, especially in robotics or autonomy related fields #LI-FB1 #LC Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner.

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube . Job Description: Shield AI is seeking a Senior Analytics Engineer to lead the design and delivery of trusted data products for Corporate FP&A, Accounting, Program Finance, GTM, and Strategic Finance. You will independently shape analytical solutions, establish shared standards, and turn business priorities into AI-enabled decision support on our Databricks platform. This senior individual contributor role combines hands-on engineering with cross-functional influence and mentorship to expand Finance's impact. What you'll do: Shape the analytics roadmap with Finance and GTM leaders, prioritizing high-impact products and resolving competing requirements. Build governed datasets and semantic models that support reporting, planning, scenario analysis, and strategic decisions. Set modeling and metric standards across domains, exercising judgment on architecture, quality, and maintainability. Develop conversational analytics and AI-enabled workflows, including Databricks Genie, grounded in trusted business context. Use AI coding assistants to accelerate delivery and explore new capabilities while maintaining rigorous validation and quality. Own business-facing reconciliation and acceptance, partnering with data engineering on reliable delivery. Mentor engineers and Finance partners, strengthening technical practices and self-service capabilities. Required qualifications: Bachelor’s degree in computer science or a related technical or quantitative field and a minimum of 5 years of related experience OR Master's and a minimum of 3 years of related experience. Substantial experience in analytics engineering, BI engineering, or financial data modeling, with advanced SQL and a record of delivering production data products. Demonstrated ability to lead ambiguous, cross-functional work from problem definition through adoption. Proficiency with AI coding assistants and sound judgment when reviewing generated work. Practical experience with AI-assisted analytics, ideally Databricks Genie; adjacent Snowflake Cortex or comparable experience is welcome. Sound architectural judgment, disciplined development practices, and experience mentoring others and influencing senior stakeholders. Preferred qualifications: Experience with Databricks, Python, semantic layers, or AI application development. Experience supporting FP&A, GTM, Strategic Finance, Accounting, or Program Finance. Familiarity with enterprise planning, financial controls, or high-growth business environments. #LI-TF1 #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: We are seeking a highly motivated FPGA Design Engineer with experience developing high-performance digital designs. The ideal candidate will be responsible for designing, implementing, verifying, and debugging FPGA-based solutions for complex avionics solutions for cutting-edge Unmanned Aerial Vehicles (UAV). This role requires strong digital design fundamentals, experience with AMD/Xilinx development tools, and the ability to collaborate across hardware, firmware, and software teams. What you'll do: Design and develop FPGA-based communication modules for advanced UAV platforms. Develop solutions that enable precise timing synchronization and redundance across flight controllers. Integrate FPGA solutions with system-level architecture in collaboration with cross-functional engineering teams. Perform synthesis, implementation, timing closure, bitstream generation. Debug, test, and optimize for reliability, latency, and throughput. Collaborate with PCB designers during board bring-up and hardware validation. Contribute to FPGA architecture discussions and help define long-term technical direction within the platform. Participate in design reviews and maintain engineering documentation. Required qualifications: B.S., M.S, PhD degree in Electrical Engineering, Computer Engineering or STEM (Science, Technology, Engineering, or Mathematics) discipline, such as Aerospace, Mechanical, or Electrical Engineering Strong experience with FPGA design, implementation, and verification using VHDL or SystemVerilog. Demonstrated ability to build reliable, high-performance digital communication systems. Solid understanding of timing closure, clock domain crossing, and system-level integration. Comfortable working in a fast-paced, collaborative environment with evolving requirements. Strong debugging and problem-solving skills. Knowledge of FPGA timing analysis and timing closure techniques. Familiarity with version control tools such as Git. Strong debugging and problem-solving skills. Preferred qualifications: Experience with Xilinx FPGA ecosystem (Vivado, toolchains, etc). In-depth understanding of ethernet and network stack implementation. Experience developing flight computers Experience designing solutions for safety-critical real-time systems. Experience with AXI4, AXI-Stream, and memory-mapped interfaces. Experience using TCL scripting to automate FPGA build flows. Knowledge of CI/CD practices for FPGA development. #LI-SM1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube . The Autonomous Pilot Integration team for launched effects builds autonomy solutions for small, often air- or ground-launched platforms that operate in multi-agent fleets and frequently in disconnected or air-gapped environments. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and the HivemindSDK to develop the autonomy software that runs on launched effects platforms, then integrate, validate, and field it on the real hardware—for U.S. and international defense customers. Our engineers write new autonomy code—such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy—and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise. In this role, you'll lead the technical delivery of complex autonomy capabilities spanning platform integration, fleet operations, and operational deployment. You'll own some of the team's most challenging technical problems while driving technical direction across multiple subsystems and collaborating closely with the Autonomy Capabilities team, Perception, feature crews, autopilot vendors, C2 providers, and customer partners. You'll combine deep technical expertise with systems thinking to deliver scalable autonomy solutions for fleet-scale operations. What You'll Do: Lead Technical Delivery – Lead the technical execution of major autonomy capabilities; drive technical direction, coordinate cross-functional execution, mentor engineers, and help deliver complex integration efforts. Develop & Field Autonomy – Develop and integrate autonomy software solutions onto launched effects platforms, including autopilot integration, payload systems, executive autonomy, multi-agent coordination, and fleet-scale deployment to disconnected or air-gapped environments. Collaboration Across Teams & Partners – Serve as a primary technical interface with the Autonomy Capabilities team, Perception team, feature crews, autopilot vendors, C2 providers, and customer/contractor partners; influence interface definitions and coordinate integration across organizations. Design & Documentation – Lead design reviews, contribute to architecture decisions and ICDs, improve engineering rigor, and establish repeatable integration practices across multiple efforts. Pre-deployment Preparation – Drive mission readiness for Capability Releases and fleet-scale deployments by coordinating validation, release planning, hardware/software compatibility, and operational readiness. On-site Test & Mission Support – Provide technical leadership during flight tests, customer demonstrations, range exercises, and operational deployments while troubleshooting complex issues under time-critical constraints. Hardware/Software Debugging – Lead root-cause analysis across autonomy software, payload computers, embedded systems, networking, and platform interfaces using simulation, lab testing, and field data. Mission Data & Debrief Support – Analyze mission data, reproduce issues, coordinate corrective actions across engineering teams, and drive continuous improvements into future releases. Continuous Improvement – Build tools, automation, and engineering processes that improve deployment velocity, mission reliability, developer productivity, and integration efficiency. C2 Interoperability & Standards – Drive implementation of command-and-control interfaces and support compliance with open-systems standards while coordinating closely with external integration partners. Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises. Required Qualifications: BS/MS in a relevant engineering discipline or equivalent practical experience. Typically requires 7+ years of relevant experience. Expert C++ and Linux development experience. Experience leading complex autonomy or embedded software integration efforts. Experience influencing technical direction across multiple engineering teams. Experience supporting operational test events or customer deployments. Ability to obtain a SECRET clearance. Preferred Qualifications: Experience with launched effects or distributed autonomous systems. Experience integrating PX4, ArduPilot, or custom autopilot solutions. Experience with fleet-scale autonomous operations. Experience with disconnected or air-gapped deployments. Experience mentoring engineers and leading technical initiatives. Experience with UCI, OMS, MOSA, WOSA, or TAK/CoT. #LI-ED1 #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: Hivemind is looking for an experienced Engineering Manager to lead our Shared Services Engineering team. The Shared Services team is a product-oriented, full-stack engineering team that builds and operates common services, SDKs, APIs, and customer-facing applications connecting Shield’s products. These capabilities reduce duplicated engineering and help create a consistent Shield experience across product types. You will lead the team as it identifies shared needs, establishes ownership, and delivers reliable, secure, and well-supported solutions. You will treat the team’s capabilities as products, maintaining a roadmap informed by external customers and internal engineering teams. This is a technical, hands-on management role. You will guide architecture and delivery, remain engaged in complex engineering decisions, and build a team that owns its systems from design through production operation. What you'll do: Build and lead the Shared Services Engineering team, including hiring, coaching, performance management, and career development Define and execute the team’s roadmap, balancing customer needs, cross-product priorities, operational health, and long-term technical investment Partner with product and engineering teams to identify shared capabilities, establish ownership and integration boundaries, and guide initiatives including shared authentication, telemetry integrations, the Customer Support Portal, and future public telemetry APIs Lead the architecture, delivery, and operation of shared services, SDKs, APIs, and customer-facing systems Establish secure, reliable, documented, and versioned interfaces for internal engineering teams and external customers Communicate plans, progress, risks, and tradeoffs across engineering, product, and organizational leadership Required qualifications: 7+ years of software engineering experience, including experience managing engineers responsible for production software Demonstrated technical judgment in the design and operation of full-stack applications, backend services, APIs, or distributed systems Strategic systems thinking and the ability to turn recurring needs across products into coherent, reusable capabilities Track record of setting technical direction, making thoughtful tradeoffs, and executing across immediate and long-term priorities Effective cross-functional leadership, with the ability to build alignment and trusted partnerships across engineering, product, and organizational stakeholders Preferred qualifications: Track record of leading teams that build shared services and customer-facing applications from scratch and own them through production operation Depth in one or more relevant domains, such as identity and authentication, public APIs and SDKs, or OpenTelemetry and high-volume telemetry data Experience establishing a new engineering capability, consolidating fragmented ownership, or driving adoption across multiple product teams Experience building and operating secure, reliable software in regulated or compliance-driven environments #LI-DM2 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube . Job Description: As a Staff Systems Engineer on Shield AI’s next gen UAS program, you will play a pivotal role in designing, developing, and integrating cutting-edge autonomous aircraft systems for national defense. You will lead the technical execution of system architecture, ensuring seamless integration of avionics, autonomy, propulsion, sensor payloads, and mission-critical systems. This position requires a deep understanding of aerospace systems engineering, autonomy, and complex system integration. You will work cross-functionally with teams in hardware, software, autonomy, flight operations, and manufacturing to develop a scalable, mission-ready platform capable of operating in contested environments. Your expertise will be critical in defining system requirements and architectures through model-based systems engineering, conducting trade studies, ensuring compliance with military and aviation standards, and supporting the aircraft through flight testing and operational deployment. What You'll Do: Perform System Architecture & Design: Develop and refine the system architecture for the next gen UAS, ensuring seamless integration of avionics, autonomy, propulsion, sensor payloads, and mission systems. Define and document system-level behavior , including modes, states, transitions, and fault responses Support safety analyses (FHA, FMEA, FTA) by defining behavior under fault conditions Define and Manage System Requirements: Establish top-level requirements, decompose them into subsystems, and maintain traceability across the development lifecycle. Autonomy & AI Integration: Work closely with autonomy and software teams to integrate AI-driven flight control, decision-making, and mission execution capabilities. Model-Based Systems Engineering (MBSE): Utilize SysML, DOORS, or other MBSE tools to create digital system models, conduct trade studies, and optimize system performance. Risk Management & Trade Studies: Conduct trade studies to evaluate design alternatives, assess technical risks, and ensure the best engineering solutions for mission effectiveness. Stakeholder & Customer Engagement: Work closely with DoD stakeholders, industry partners, and government agencies to align system capabilities with operational requirements. Cross-Functional Collaboration: Partner with hardware, autonomy, software, propulsion, and flight operations teams to drive seamless system integration and rapid development cycles. Required Qualifications: Typically requires a minimum of 7 years of related experience with a Bachelor’s degree Demonstrated experience defining system behavior logic and operational modes Deep expertise in system architecture, avionics integration, and autonomy-driven flight systems. Proficiency in MBSE, DOORS, SysML, CAMEO, or similar system modeling tools for complex systems design and analysis. Experience with Group 4 or Group 5 UAS, military aircraft, or autonomous airborne platforms. Strong background in flight testing, system integration, and performance validation. Knowledge of DoD acquisition processes, MIL-STDs, FAA airworthiness certification, and airborne system safety standards. Demonstrated ability to lead cross-functional teams and drive complex projects to successful completion. Ability to work in a fast-paced, agile development environment with shifting priorities. Worked on developmental program from clean sheet to first flight Ability to obtain a S//SAR level security clearance desired. Preferred Qualifications: Experience developing AI-driven autonomy for unmanned aircraft. Expertise in ISR, EW, and advanced sensor integration for airborne platforms. Familiarity with modular open system architectures (MOSA) and Government Reference Architectures (GRA) for defense applications. Prior experience working with defense primes, DoD stakeholders, or government R&D programs. Active Secret or Top Secret clearance (or ability to obtain one). #LI-JM2 #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: We are seeking an experienced Staff Test Engineer to support the development, integration, and validation of XBat flight critical software systems. This role is responsible for designing and executing test strategies across hardware, software, and system-level components to ensure performance, reliability, and mission readiness. Key responsibilities include developing test plans and procedures, executing verification and validation (V&V) efforts, analyzing test data, and collaborating cross-functionally with engineering, manufacturing, and program teams. The ideal candidate has strong experience with aerospace or defense systems, familiarity with regulatory standards (e.g., DO-178C, DO-254, MIL HDBK 516c), and a proven ability to troubleshoot complex system issues. Qualifications include a degree in engineering or a related field, 7+ years of relevant experience, and strong analytical, communication, and leadership skills. Experience with automated testing, hardware-in-the-loop (HIL), and flight test support is highly desirable. What you'll do: Develop test plans and procedures Executing verification and validation (V&V) efforts, a Analyze test data Collaborate cross-functionally with engineering, manufacturing, and program teams Required qualifications: Bachelor’s degree in Engineering, Computer Science, or a related technical field Hands-on experience in testing (e.g., 3–7+ years depending on level) across software, hardware, or integrated systems Knowledge of test methodologies including verification & validation (V&V), regression testing, and test case development Experience with test tools and automation, such as scripting (Python, MATLAB, or similar) and test frameworks Ability to read and interpret technical documentation, requirements, and system specifications Strong problem-solving skills with the ability to troubleshoot and isolate defects Experience working in cross-functional teams (engineering, QA, systems, manufacturing) Familiarity with relevant standards (e.g., ISO, MIL-STD, DO-178C/DO-254 for aerospace/defense roles) Strong written and verbal communication skills for documenting and reporting test results Ability to obtain a S//SAR level security clearance desired. Preferred qualifications: Experience testing and troubleshooting complex embedded systems. Experience with large programs and fielding first of type systems. #LI-SM1 #LD Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube . Job Description: We are seeking a Senior Cybersecurity Engineer to lead cybersecurity activities for an airborne aerospace and defense platform. This role will integrate cybersecurity across avionics, mission systems, aircraft networks, communications, embedded software, and ground-support systems. What you'll do: Develop the platform’s cybersecurity architecture, requirements, and protection strategy. Perform threat modeling, vulnerability assessments, attack-surface analysis, and cyber risk assessments. Define protections for secure boot, authentication, access control, encryption, key management, software updates, and data communications. Apply defense-in-depth across aircraft systems, networks, radios, data links, and external interfaces. Lead DoD Risk Management Framework activities and develop required authorization evidence. Evaluate hardware, software, firmware, and supplier designs for cybersecurity risks. Develop cybersecurity verification plans and support vulnerability scanning, penetration testing, and cyber-resiliency testing. Coordinate risk mitigation and corrective actions with engineering teams, suppliers, customers, and program leadership. Ensure cybersecurity solutions support aircraft safety, availability, and mission effectiveness. Required qualifications: Bachelor’s degree in cybersecurity, computer engineering, electrical engineering, software engineering, systems engineering, or a related field. Typically requires a minimum of 5 years of related experience with a Bachelor’s degree. Experience with aircraft, aerospace, defense, or other mission-critical embedded systems. Knowledge of avionics, mission systems, platform networks, communications, or data links. Experience with threat modeling, secure system architecture, vulnerability analysis, and security testing. Familiarity with DoD RMF, NIST security guidance, cryptography, and key management. Strong technical leadership, writing, and customer communication skills. Ability to obtain and maintain the required security clearance. Preferred qualifications: Cybersecurity experience on military aircraft, unmanned aircraft, or airborne mission systems. Familiarity with NIST SP 800-53, NIST SP 800-160, DO-326A, DO-355, and DO-356A. Experience with anti-tamper, program protection, supply-chain risk management, or cross-domain solutions. Experience supporting cyber testing, penetration testing, or adversarial assessments. Relevant certification such as CISSP, Security+, CEH, or GIAC. Active U.S. security clearance. #LI-AD6 #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.