Founded in 2015, 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 and V-BAT and X-BAT aircraft. 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.

Founded in 2015, 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 and V-BAT and X-BAT aircraft. 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:At Shield AI, we're building the most intelligent autonomous aircraft ever deployed. As we push the boundaries of what’s possible in contested environments, we are looking for a Survivability Engineer to shape and optimize the low observable (LO) performance of our next-generation autonomous aircraft. This role is ideal for an experienced engineer with expertise in radar cross-section (RCS) shaping, LO materials, and electromagnetic signature modeling who thrives in a fast-paced, mission-driven environment. You’ll work across disciplines to ensure our aircraft can survive, evade, and complete missions in highly contested airspace. What you'll do: - Design and optimize low observable (LO) features across the airframe focusing on shaping, edge treatments, radar-absorbing materials, and subsystem integration. - Conduct modeling and simulation of electromagnetic signatures using industry-standard tools such as HFSS, CST Studio Suite, Xpatch, and SENTRi. - Work with multidisciplinary teams in propulsion, avionics, structures, and AI to ensure survivability is baked into the system architecture from day one. - Lead or support signature testing efforts, including indoor and outdoor RCS range tests, validation campaigns, and supplier-level hardware evaluations. - Translate mission threats and requirements into survivability features that address RCS, thermal, visual, and acoustic observability constraints. - Partner with materials scientists to mature radar-absorbing coatings and structural RAM for manufacturability and field durability. - Support internal and customer assessments, threat modeling reviews, and milestone decisions throughout the program lifecycle. Required qualifications: - B.S. or M.S. in Aerospace Engineering, Electrical Engineering, Physics, or a related discipline. - 10+ years of hands-on experience in LO or survivability engineering, preferably on tactical aircraft, UAVs, or stealth systems. - Proficiency with EM simulation tools such as HFSS, CST, Xpatch, or SENTRi. - Strong understanding of RCS shaping principles, edge treatments, cavity suppression, and materials integration. - Practical experience with LO testing methods and RCS measurement equipment. - Familiarity with radar-absorbing materials (RAM), LO coatings, and structural LO trade studies. - Solid collaboration and communication skills with the ability to work across design, test, and manufacturing teams. - U.S. Citizenship and active Secret clearance required. - Ability to obtain a S//SAR level security clearance desired. Preferred qualifications: - Experience with military UAV platforms or 5th-gen fighter programs. - Background in survivability analysis in contested environments (e.g., IADS, radar networks). - Familiarity with platform CONOPS, threat modeling, and mission-level survivability assessments. - Ability to contribute to the design, test, and fielding of a fully integrated LO platform. - Active Top Secret or SCI clearance. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Founded in 2015, 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 and V-BAT and X-BAT aircraft. 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 Staff Aerostructures Design Engineer to play a critical role in the development of structural components for our next-generation autonomous aircraft. As a senior member of the Mechanical Engineering team, you will own the design and development of high-performance structural systems, from clean-sheet concepts to production-ready hardware. You’ll work across disciplines to ensure structural integrity, manufacturability, and mission-readiness in one of the most advanced autonomous aircraft platforms being built today. This role is ideal for an experienced aerospace mechanical engineer who thrives in fast-paced, high-ownership environments and is passionate about building systems that matter. What you'll do: - Lead the design and development of structural components and assemblies for Shield AI’s next-gen UAV platform, with a focus on primary and secondary aircraft structures. - Own the structural design lifecycle including concept generation, CAD modeling, detail design, and drawing release, ensuring high quality and traceability. - Use FEA tools to perform and guide linear and nonlinear structural analysis, stress analysis, and margin assessment under operational loads and edge cases. - Work closely with aerodynamics, propulsion, avionics, payload, and manufacturing teams to ensure seamless system integration across airframe and subsystem interfaces. - Support and lead efforts in material selection, focusing on composites, aluminum alloys, and advanced manufacturing approaches suited to mission and environment. - Participate in and lead design reviews, architecture discussions, and technical decision-making forums related to structural systems. - Oversee the design and execution of structural validation testing, including coupon-level, subcomponent, and full-system testing. - Guide the development of design documentation, analysis reports, interface definitions, and verification plans in compliance with MIL-STD, FAA, and internal Shield AI standards. - Mentor junior engineers and review team members’ work for technical rigor, performance, and manufacturability. - Collaborate with the manufacturing and flight test teams to transition designs from engineering to production and field deployment. - Identify opportunities to improve design processes, configuration management, and team workflows for increased engineering velocity and design quality. Required qualifications: - Bachelor’s or Master’s degree in Mechanical Engineering, Aerospace Engineering, or a related discipline. - 10+ years of experience in aircraft structural design, with demonstrated ownership of components or systems in development, test, or production. - Deep understanding of composite and metallic structures, including material behavior, joints, and thermal/environmental effects. - Expertise in CAD tools (NX, CATIA, or SolidWorks) and FEA tools (ANSYS, Abaqus, NASTRAN, or similar). - Experience conducting or overseeing stress analysis, fatigue analysis, and design optimization. - Strong working knowledge of DFMA, GD&T, tolerance stackups, and structural layout principles. - Clear, concise technical communication skills and experience leading cross-functional engineering efforts. - A track record of technical excellence, high ownership, and a mission-driven mindset in challenging engineering environments. - Ability to get a S//SAR level security clearance desired. Preferred qualifications: - M.S. degree in Aerospace or Mechanical Engineering. - Strong NX CAD skills - Experience supporting or leading Group 3–5 UAV, DoD aircraft, or high-performance aerospace vehicle programs. - Knowledge of aerospace standards (MIL-STD, ASME Y14.5, FAA FARS) and certification pathways. - Prior experience in flight vehicle integration, manufacturing liaison, or production support. - Familiarity with model-based engineering, digital twin development, or configuration management tools. - Demonstrated experience in failure analysis, design iteration, and test correlation. - Previous work in startup, R&D, or high-growth defense environments where agility and innovation are key. #LI-MS1 #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.

Role Description A leading educational technology company specializing in cloud-based learning management and student lifecycle solutions. The organization develops a comprehensive learning ecosystem widely adopted across K-12, higher education, and corporate sectors. By integrating advanced analytics and AI-driven credentialing tools, the platform streamlines course administration and helps millions of global users bridge the gap between education and workforce opportunities. - Design, develop, and maintain scalable ELT pipelines and modern data architectures. - Build and optimize data transformation workflows using dbt and SQL. - Collaborate closely with software engineers and product teams to support data-driven applications. - Develop infrastructure as code using Terraform. - Support web application integrations involving Node.js, TypeScript, GraphQL, and React. - Improve data reliability, monitoring, and operational excellence across the platform. - Participate in production support through an on-call rotation (1 week every 4 weeks) and serve as backup on-call engineer for an additional week every 4 weeks. - Collaborate with US-based engineering teams to troubleshoot production issues and continuously improve platform performance. - Contribute to best practices around data engineering, automation, and cloud architecture. Qualifications - Strong experience building ELT pipelines and modern data engineering solutions. - Advanced experience with dbt and SQL. - Hands-on experience with Terraform. - Experience working with web application technologies, including: Node.js, TypeScript, GraphQL, React. - Strong analytical and problem-solving skills. - Experience working in Agile environments. - Excellent communication skills and ability to collaborate with distributed international teams. - English proficiency sufficient to work daily with US-based engineers. Requirements - Nice to have: Snowflake. - AWS. - Apache Airflow. - Looker. - Python. - GitHub. - Experience supporting production environments and participating in on-call rotations. - Experience designing modern cloud-native data platforms. - English level: Upper-Intermediate. Benefits - International projects. - In-office, hybrid, or remote flexibility. - Medical healthcare. - Recognition program. - Ongoing learning & reimbursement. - Well-being program. - Team events & local benefits. - Sports compensation. - Referral bonuses. - Top-tier equipment provision.