We are seeking exceptional GNC Engineers to shape the next generation of advanced tactical missile systems, strategic weapons, and hypersonic strike and defense systems. As a key contributor, you will develop, test, and integrate cutting-edge GNC architectures for subsonic, supersonic, and hypersonic autonomous systems, driving innovation in mission-critical capabilities.

Responsibilities:

• Develop, implement, and test algorithms for guidance, navigation, and control systems in line with project requirements.
• Design, implement, and assess the GNC architectures considering all elements, including sensors, actuators, and algorithms.
• Participate in all phases of system development, from concept to design, prototyping, testing, and operation.
• Collaborate closely with a multidisciplinary team including systems engineers, flight software engineers, and test engineers to ensure system-wide integration and performance.
• Contribute to design reviews, safety assessments, and system documentation.
• Use simulation and analysis tools to verify GNC models and system performance under different operating conditions.
• Provide system engineering expertise in the development of GNC systems, ensuring a cohesive and efficient approach to the design and implementation process.
• Troubleshoot and resolve issues related to GNC systems during design, testing, and operational phases.
• Keep updated with the latest technologies and trends in GNC engineering and system architecture design.

Required Qualifications:

• BS in Robotics, Computer Science, Electrical, Mechanical, Mechatronics, Aerospace Engineering or related field with focus on dynamics and control
• A strong theoretical knowledge of flight mechanics, classical and modern control theory, estimation, and filtering techniques.
• Experience with developing GNC solutions for flight systems
• Proficiency with GNC simulation tools like MATLAB, Simulink and related toolboxes
• Familiarization with 6-DOF simulations
• Must be eligible to obtain and maintain a U.S. Top Secret clearance

Preferred Qualifications:

• A MS or Ph.D. in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or a related field is a plus
• Strong understanding of flight mechanics and related physics.
• Practical experience developing GNC designs for high speed flight systems and re-entry vehicles.
• Practical experience with Explicit Model Following, Dynamic Inversion, and Adaptive Control techniques.
• Extensive experience in GNC system and architecture development and testing, preferably in the aerospace industry.
• Experience generating C or C++ code from Simulink models.
• Experience writing code in C/C++
• Strong analytical, problem-solving, and decision-making skills.
• Excellent verbal and written communication skills.
• Ability to work independently and in a team-oriented, collaborative environment.
• Familiarity with agile and Lean product development methodologies such as Scrum.
• Experience using Jira, Git, GitHub, or GitLab
• Understanding of and compliance with industry, safety, and quality standards appropriate for the application
• Passion for defending the United States and its allies
• Current Active U.S. Top Secret clearance preferred

Salary Range:

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package.

Benefits:

Anduril offers top-tier benefits for full-time employees, including:

• Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.
• UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.
• IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.
• Income Protection: Anduril covers life and disability insurance for all employees.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December.
• Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.
• Additional work-life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development.
• Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.
• Retirement Savings Plan - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.
• UK & IE Roles: Pension plan with employer match.
• AUS Roles: Superannuation plan.

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You will participate in all phases of system development, from concept to design, prototyping, testing, and operation. You will collaborate closely with a multidisciplinary team including systems engineers, flight software engineers, and test engineers to ensure system-wide integration and performance. You will contribute to design reviews, safety assessments, and system documentation. You will use simulation and analysis tools to verify GNC models and system performance under different operating conditions.

You will provide system engineering expertise in the development of GNC systems, ensuring a cohesive and efficient approach to the design and implementation process. You will troubleshoot and resolve issues related to GNC systems during design, testing, and operational phases. You will keep updated with the latest technologies and trends in GNC engineering and system architecture design.

Required qualifications include a BS in Robotics, Computer Science, Electrical, Mechanical, Mechatronics, Aerospace Engineering or related field with focus on dynamics and control, 3 or more years of experience in Guidance, Navigation & Control engineering or related technical experience, and a strong theoretical knowledge of classical and modern control theory, estimation, and filtering techniques.

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The Air Dominance and Strike (AD&S) Chief Engineering Team is a driving force behind the technical execution and strategic vision of our most critical programs. As our Chief Air Vehicle Architect, you will be the senior technical authority for conceptual design, applied S&T, and experimental development of advanced flight platforms.

RESPONSIBILITIES

Concept Creation & Applied Science

• Lead early conceptual design of entire advanced air vehicle platforms: configuration exploration, trade studies, and performance modeling.
• Apply first-principles thinking across air vehicle engineering: aerodynamics, structures, propulsion, flight controls, GNC, low observables, autonomy, and mission systems to evaluate concepts.
• Identify and mature key scientific and technical breakthroughs for new operational capability through novel air vehicle designs.
• Balance creativity with engineering realism, ensuring executable technology paths for complete air vehicle solutions.

Systems Architecture & Integration

• Define holistic system architectures integrating air vehicle design, mission systems, autonomy, and manufacturing from the outset.
• Lead cross-disciplinary trade studies and modeling to understand interactions, sensitivities, and failure modes across the entire flight system.
• Guide concepts from exploration to prototype-ready air vehicle designs.

QUALIFICATIONS

• Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, Physics, Systems Engineering, or related technical field (advanced degree preferred).
• 10+ years direct experience in conceptual design, architecture, or advanced development of complete air vehicle platforms.
• Demonstrated experience leading conceptual design and early-phase system architecture for full aircraft or complex flight systems.
• Strong systems-level thinking across all air vehicle engineering domains.
• Hands-on experience with real flight hardware, experimentation, or test activities.
• Ability to obtain and maintain a U.S. security clearance.

SALARY

US Salary Range $254,000-$336,000 USD

BENEFITS

Anduril offers top-tier benefits for full-time employees, including:

• Healthcare Benefits
• Income Protection
• Generous time off
• Family Planning & Parenting Support
• Mental Health Resources
• Professional Development
• Commuter Benefits
• Relocation Assistance
• Retirement Savings Plan

PROTECTING YOURSELF FROM RECRUITMENT SCAMS

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
• Please always verify communications:
• Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
• Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
• What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com.

DATA PRIVACY

Anduril is committed to protecting the privacy and security of our candidates and employees. We collect and use personal data in accordance with applicable laws and regulations.

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Key responsibilities include:

• Design and implement flight control laws and supporting logic across multiple flight regimes.
• Build and mature high-fidelity 6DOF simulation environments used for control development and ensure accurate pre-flight performance predictions.
• Execute verification activities, including linear analysis, Monte Carlo campaigns, disturbance/sensitivity/degraded operation testing, and HIL validation.
• Diagnose and resolve simulation-to-test mismatches, including unidentified dynamics and modeling gaps.
• Support flight test operations and contribute to rapid iteration between flights.
• Work closely with propulsion, aero, actuation, sensors, state estimation, and autonomy teams to ensure accurate integrated system performance in the 6DOF simulation environment.
• Mentor, teach, and up-skill younger engineers.

Required qualifications include 6+ years of experience in flight controls/GNC on real flight vehicles, with demonstrated contributions from design through test.

Preferred qualifications include autonomous systems or missile/UAV GNC background, familiarity with sensor and air data systems, CI/CD pipelines, and modern DevSecOps practices.

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As a Senior Engineer, you will be dedicated to Shield AI's next-generation aircraft program, adopting our existing infrastructure to advance new capabilities. You'll design, build, and scale C++-based simulation tools that test and validate the full aircraft software stackrom autonomy to avionicsefore it ever flies. Your simulation infrastructure will enable developers to test faster, system engineers to evaluate performance earlier, and release engineers to ship with confidence.

Responsibilities:

• Build and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++.
• Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.
• Integrate core physics, dynamics, and system models (aerodynamics, propulsion, controls) into a unified simulation environment.
• Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.
• Develop infrastructure for CI integration, parallel simulation execution, and automated regression testing.
• Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity.
• Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI.
• Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering.

Requirements:

• BS or MS in Computer Science, Aerospace, Robotics, or related field.
• 5+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization.
• Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems.
• Strong grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management.
• Understanding of rigid-body dynamics, kinematics, and basic flight mechanics.
• Familiarity with DevOps-integrated simulation workflows, including CI/CD and containerized environments.
• Ability to debug complex build and runtime environments (CMake, dependency management, logging, profiling tools).
• Strong collaboration and communication skills across software, hardware, and systems disciplines.

Preferred Qualifications:

• Experience with distributed or cloud-based simulation (e.g., cluster orchestration, Kubernetes).
• Working knowledge of Python for data analysis, test automation, or simulation orchestration.
• Familiarity with sensor and actuator modeling, and integrating avionics or autonomy software within simulation.

Salary: $158,000 - $215,000 a year

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Design and implement flight control laws and supporting logic across multiple flight regimes. Build and mature high-fidelity 6DOF simulation environments used for control development and ensure accurate pre-flight performance predictions. Execute verification activities, including linear analysis, Monte Carlo campaigns, disturbance/sensitivity/degraded operation testing, and HIL validation. Diagnose and resolve simulation-to-test mismatches, including unidentified dynamics and modeling gaps. Support flight test operations and contribute to rapid iteration between flights. Work closely with propulsion, aero, actuation, sensors, state estimation, and autonomy teams to ensure accurate integrated system performance in the 6DOF simulation environment.

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This is a highly cross-functional role requiring deep technical knowledge of aeroelastic theory, loads derivation, and flight vehicle behavior. You'll collaborate closely with structural design, aero, GNC, and test engineering teams to ensure load paths are accurate, traceable, and validated through test or simulation.

Key responsibilities include:

• Developing aerodynamic and structural load envelopes for the full vehicle, from clean-sheet through flight test
• Leading maneuver, gust, landing, and ground loads analyses, including both quasi-static and dynamic cases
• Coordinating closely with GNC, aero, and structural teams to define load cases tied to mission profiles and flight control behaviors
• Developing and validating loads models using tools like NASTRAN, FEMAP, MATLAB, or custom Python/Simulink scripts
• Supporting the sizing and analysis of critical structural components through detailed load maps and V-n diagrams
• Conducting aeroelastic stability assessments, including divergence and control reversal checks
• Leading traceability of loads inputs/outputs across ICDs, FEA models, and design justification documents
• Interfacing with test engineering to support strain gauge placement, instrumentation plans, and correlation of in-flight data
• Authoring and presenting loads documentation for reviews, compliance, and technical buy-in
• Supporting the long-term refinement of loads methodologies and automation across the aerostructures team

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Design and deliver the flight control system across all phases of flight including control allocation strategies that manage actuator redundancy, saturation, and degraded operations.

Lead development of high-fidelity 6DOF simulation environments and ensure accurate pre-flight performance predictions.

Define and execute the verification strategy, including linear analysis, Monte Carlo campaigns, disturbance/sensitivity/degraded operation testing, and HIL validation.

Diagnose and resolve simulation-to-flight mismatches, including unidentified dynamics and modeling gaps.

Support flight test operations, making risk-informed decisions and driving rapid iteration between flights.

Integrate control systems with propulsion, aero, actuation, sensors, state estimation, and autonomy, ensuring the vehicle behaves predictably under real-world disturbances and uncertainties.

Mentor and guide engineers while setting the technical standard for control system performance and rigor.

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Design and implement flight control laws and supporting logic across multiple flight regimes. Build and mature high-fidelity 6DOF simulation environments used for control development and ensure accurate pre-flight performance predictions. Execute verification activities, including linear analysis, Monte Carlo campaigns, disturbance/sensitivity/degraded operation testing, and HIL validation. Diagnose and resolve simulation-to-test mismatches, including unidentified dynamics and modeling gaps. Support flight test operations and contribute to rapid iteration between flights. Work closely with propulsion, aero, actuation, sensors, state estimation, and autonomy teams to ensure accurate integrated system performance in the 6DOF simulation environment.

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Key responsibilities include:

• Leading teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution.
• Integrating autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.
• Owning the build, configuration, and validation process for flight-ready systems; coordinating hardware/software compatibility and mission readiness.
• Traveling to test sites and supporting live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.
• Diagnosing and resolving integration issues across complex autonomy software stacks and embedded systems in lab and field environments.
• Managing data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.
• Collaborating with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.

Required qualifications include:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.
• Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.
• 7+ years of experience in Unmanned Systems programs in the DoD or applied R&D.
• 2+ years of people leadership experience.
• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).
• Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.
• Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).
• Hands-on experience supporting flight demos or live exercises.
• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.
• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.
• Ability to obtain a SECRET clearance.

Preferred qualifications include:

• Direct experience supporting unmanned aerial systems or similar flight test campaigns.
• Familiarity with autonomy stacks, flight control systems, or GNC pipelines.
• Competence in sensor integration, electronics debugging, or avionics bring-up.
• Proficiency in developing automation tools for system testing, logging, and data parsing.
• Comfortable interfacing with DoD stakeholders during field events or technical reviews.
• Experience with UCI and OMS Standards.

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Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.

Responsibilities:

• System Integration & Deployment , Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.

• Pre-flight Preparation , Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.

• On-site Flight Test Support , Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.

• Hardware/Software Debugging , Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.

• Flight Data Capture & Analysis , Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviours and identify improvements.

• Collaboration Across Teams , Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.

• Continuous Improvement , Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.

• Support Certification and Compliance , Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.

• Travel Requirement– Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).

Requirements:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience

• Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience

• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)

• Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics

• Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)

• Hands-on experience supporting flight demos or live exercises

• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation

• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance

• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment

• Ability to obtain a SECRET clearance

Preferred Qualifications:

• Direct experience supporting unmanned aerial systems or similar flight test campaigns

• Familiarity with autonomy stacks, flight control systems, or GNC pipelines

• Competence in sensor integration, electronics debugging, or avionics bring-up

• Proficiency in developing automation tools for system testing, logging, and data parsing

• Comfortable interfacing with DoD stakeholders during field events or technical reviews

• Experience with UCI and OMS Standards

$182,720 - $274,080 a year

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This role is part of the Hivemind Solutions organization and leads a team of engineers to deliver cutting-edge autonomous capabilities for business-to-business and defense contracts. The ideal candidate has defense industry experience as a Chief Engineer and a proven track record of leading technical teams to develop and deploy autonomous systems.

Responsibilities:

• Serve as the Chief Engineer on Shield AI projects focused on developing and deploying autonomy solutions for unmanned aircraft from group 2 to group 5.
• Lead a team responsible for advancing Hivemind Autonomy and shaping defense autonomy architectures.
• Define and assign technical objectives, make key engineering decisions, and ensure the quality and completeness of all technical deliverables.
• Provide technical leadership and oversight across both Internal Research and Development (IRAD) initiatives and defense contracts.

Qualifications:

• BS/MS in Computer Science, Electrical Engineering, Mechanical/Aerospace Engineering, and/or similar degree.
• 10+ years of industry experience in autonomy and/or UAS platforms (e.g., defense tech, self-driving car, etc.).
• 7+ years of delivering software into production/certifiable environments with high-reliability.
• Understanding of guidance, control and navigation (GNC) (e.g. controls, estimation, planning).
• Understanding of robotics stack (e.g., controls, estimation, perception, planning, etc.).
• Understanding of software development processes and how to effectively deploy software.
• Experience defining technical scope and managing technical requirements, product architectures, ICDs and other system level design documentation.
• Demonstrate problem solving skills by applying a scientific technical approach.
• Customer-facing engineering leader supporting both defense and internally funded development programs.
• Contribute to government contract proposal writing.
• Excellent communication skills, both written and verbal.
• Excellent leadership skills, driving a team of 6-20 engineers.

Preferred Qualifications:

• UK security clearance.

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You'll design, build, and scale the models and infrastructure needed to use Shield's simulation platform for qualified software validation efforts. Your simulation infrastructure will enable developers to test faster, system engineers to evaluate performance earlier, and release engineers to ship with confidence.

Responsibilities

• Build and scale simulation frameworks for integrated testing of autonomy, GNC, and embedded systems in C++.
• Design deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release.
• Implement scenario simulation tooling and formal test infrastructure.
• Collaborate across autonomy, embedded, GNC, and test engineering to ensure the simulation mirrors real aircraft behavior and mission scenarios.
• Profile, optimize, and validate C++ codebases for performance, determinism, and fidelity.
• Perform verification & validation (V&V) analysis activities on model tools.
• Contribute to architecture decisions that define the next generation of aircraft simulation tools within Shield AI.
• Mentor engineers and guide best practices in C++, simulation architecture, and performance engineering.

Requirements

• BS or MS in Computer Science, Aerospace, Robotics, or related field.
• 5+ years of experience in software development, with emphasis on modern C++ (C++17 or later) and performance optimization.
• Proven experience developing or integrating simulation systems for robotics, aerospace, or autonomous systems.
• Strong grasp of real-time and deterministic software design, including multi-threading, synchronization, and memory management.
• Experience with DevOps-integrated simulation workflows, including CI/CD and automated hardware testing environments.

Preferences

• Understanding of rigid-body dynamics, kinematics, and basic flight and sensor mechanics.
• Familiarity with sensor and actuator modeling and integrating avionics or autonomy software within simulation.
• Working knowledge of Python for data analysis, test automation, or simulation orchestration.
• Ability to debug complex build and runtime environments (CMake, CPM, dependency management, logging, profiling tools).
• Strong collaboration and communication skills across software, hardware, and systems disciplines.

$125,000 - $200,000 a year

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The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions.

Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.

Responsibilities:

• System Integration & Deployment , Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.

• Pre-flight Preparation , Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.

• On-site Flight Test Support , Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.

• Hardware/Software Debugging , Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.

• Flight Data Capture & Analysis , Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.

• Collaboration Across Teams , Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.

• Continuous Improvement , Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.

• Support Certification and Compliance , Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.

• Travel Requirement , Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).

Requirements:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience

• Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience

• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)

• Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics

• Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)

• Hands-on experience supporting flight demos or live exercises

• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation

• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance

• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment

• Ability to obtain a SECRET clearance

Preferred Qualifications:

• Direct experience supporting unmanned aerial systems or similar flight test campaigns

• Familiarity with autonomy stacks, flight control systems, or GNC pipelines

• Competence in sensor integration, electronics debugging, or avionics bring-up

• Proficiency in developing automation tools for system testing, logging, and data parsing

• Comfortable interfacing with DoD stakeholders during field events or technical reviews

• Experience with UCI and OMS Standards

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Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.

Responsibilities:

• System Integration & Deployment , Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.
• Pre-flight Preparation , Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.
• On-site Flight Test Support , Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.
• Hardware/Software Debugging , Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.
• Flight Data Capture & Analysis , Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.
• Collaboration Across Teams , Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.
• Continuous Improvement , Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.
• Support Certification and Compliance , Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.
• Travel Requirement , Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).

Requirements:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience
• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)
• Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics
• Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)
• Hands-on experience supporting flight demos or live exercises
• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation
• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment
• Ability to obtain a SECRET clearance

Preferences:

• Direct experience supporting unmanned aerial systems or similar flight test campaigns
• Familiarity with autonomy stacks, flight control systems, or GNC pipelines
• Competence in sensor integration, electronics debugging, or avionics bring-up
• Proficiency in developing automation tools for system testing, logging, and data parsing
• Comfortable interfacing with DoD stakeholders during field events or technical reviews
• Experience with UCI and OMS Standards

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This role is part of the Hivemind Solutions organization and leads a team of engineers to deliver cutting-edge autonomous capabilities for business-to-business and defense contracts. The ideal candidate has defense industry experience as a Chief Engineer and a proven track record of leading technical teams to develop and deploy autonomous systems.

Key responsibilities include serving as the Chief Engineer on Shield AI projects focused on developing and deploying autonomy solutions for unmanned aircraft, leading a team responsible for advancing Hivemind Autonomy and shaping Department of Defense (DoD) autonomy architectures, defining and assigning technical objectives, making key engineering decisions, and ensuring the quality and completeness of all technical deliverables.

The Chief Engineer will provide technical leadership and oversight across both Internal Research and Development (IRAD) initiatives and DoD contracts, and contribute to government contract proposal writing. Excellent communication and leadership skills are required, with the ability to drive a team of 6-20 engineers.

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