As an analyst, you will engage directly with internal and external stakeholders to translate their questions into physics-based analyses, often designing experiments using mission-level simulations. You will follow the scientific method and generate clear and compelling analytical artifacts with actionable conclusions. Your analyses will often accompany demonstration events to quantify exactly how Anduril technology delivers mission success to the warfighter.

Employ the scientific method to develop model-driven analysis (and often the models themselves) Develop a deep understanding of the transformational value of Anduril’s platform, autonomy, simulation, and perception products Use our advanced internal M&S capabilities to give our analyses and asymmetric advantage over competitors Use exceptional writing and verbal communication to translate complex analytical findings into clear and compelling summaries for both internal program teams and external customers

Required Qualifications: 3+ years of experience in a relevant Science or Engineering field Currently possesses and is able to maintain an active U.S. Secret security clearance 2+ years of hands-on AFSIM scripting experience (deeper experience highly valued) Proficiency and love of modeling and scripting languages (e.g., Python, MATLAB, Simulink) Demonstrated experience in: Platform MS&A - aero, fuel, and signature modeling Payload MS&A - radar, EOIR, communications, or weapons payloads Exceptional communication and presentation skills, with the ability to convey complex technical information in written, visual and spoken form to diverse audiences A working knowledge of domains such as Offensive/Defensive Counter-Air (OCA/DCA), Intelligence, Surveillance, and Reconnaissance (ISR), Suppression/Destruction of Enemy Air Defenses (SEAD/DEAD), Electronic Attack, or Long Range Fires

Preferred Qualifications: 5+ years of experience in a relevant Science or Engineering field, or equivalent advanced academic experience (e.g., MS, Ph.D.) Ability to obtain and maintain a DoD Top Secret security clearance Demonstrated ability to lead and execute an Operations Analysis study from concept to completion, encompassing problem definition, research, model development, data analysis, and report generation Signal processing experience, for example, track fusion and filtering techniques Experience with RF propagation modeling, including communications, radar, and electronic warfare (EW) modeling

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This position requires a strong working knowledge of military operations, modeling & simulation (M&S), data science, and operational analysis techniques. Your analyses will directly support product decisions and customer engagements by helping demonstrate how Shield AI's AI-powered platforms perform in realistic and contested operational environments.

Key responsibilities include:

• Executing operational analyses to assess the effectiveness of autonomous systems in representative military scenarios.
• Developing and running modeling, simulation, and wargaming analyses to evaluate system performance, mission impact, and survivability in contested environments.
• Collaborating with engineering teams and product managers to translate operational findings into actionable system insights.
• Performing trade studies and sensitivity analyses to assess system performance across varying operational conditions, assumptions, and threat environments.
• Building, modifying, and analyzing mission-level models using tools such as AFSIM, STK, MATLAB, Python, or similar M&S frameworks.
• Analyzing force-on-force engagements, sensor performance, and autonomy-enabled behaviors to support mission effectiveness assessments.
• Engaging with DoD stakeholders, operators, and analysts to understand mission needs and operational constraints.
• Contributing to the development and refinement of concepts of operations (CONOPS) for AI-enabled aircraft capabilities.
• Monitoring emerging threats and operational challenges relevant to autonomous and air combat systems.
• Preparing technical documentation, analysis reports, and briefings for internal teams, customers, and government stakeholders.

Required qualifications include:

• Bachelor's degree in science, technology, engineering, or math domain.
• 7+ years of experience in operational analysis, modeling & simulation, operations research, or related defense or aerospace roles.
• Active Secret at minimum, preferred active Top-Secret clearance (or ability to obtain one).

Preferred qualifications include:

• Prior experience in force-on-force analysis, CONOPS development, or military campaign modeling.
• Expertise in applicable design reference mission development such as OCA or SEAD.
• Familiarity with DoD acquisition processes, tools (Brawler, ESAMS, etc.), Joint Capabilities Integration and Development System (JCIDS), and military operational testing.
• DoD Program experience as analysis task lead.
• Prior experience in systems engineering product development lifecycle (SysML or MBSE preferred).
• Expertise providing program critical analysis for system design and integration/test.

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This position requires a strong working knowledge of military operations, modeling & simulation (M&S), data science, and operational analysis techniques. Your analyses will directly support product decisions and customer engagements by helping demonstrate how Shield AI's AI-powered platforms perform in realistic and contested operational environments.

Responsibilities:

• Plan, own and execute operational analyses to assess the effectiveness of autonomous systems in representative military scenarios.
• Develop and run modeling, simulation, and wargaming analyses to evaluate system performance, mission impact, and survivability in contested environments.
• Collaborate with engineering teams and product managers to translate operational findings into actionable system insights.
• Perform trade studies and sensitivity analyses to assess system performance across varying operational conditions, assumptions, and threat environments.
• Build, modify, and analyze mission-level models using tools such as AFSIM, STK, MATLAB, Python, or similar M&S frameworks.
• Analyze force-on-force engagements, sensor performance, and autonomy-enabled behaviors to support mission effectiveness assessments.
• Engage with DoD stakeholders, operators, and analysts to understand mission needs and operational constraints.
• Contribute to the development and refinement of concepts of operations (CONOPS) for AI-enabled aircraft capabilities.
• Monitor emerging threats and operational challenges relevant to autonomous and air combat systems.
• Prepare technical documentation, analysis reports, and briefings for internal teams, customers, and government stakeholders.
• Apply modern compute and development best practices (e.g., version control, scripting, scalable compute workflows, and reproducible analysis) to build and maintain reliable analysis pipelines.
• Be a force multiplier by coaching and developing incoming talent.

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This position requires a strong working knowledge of military operations, modeling & simulation (M&S), data science, and operational analysis techniques. Your analyses will directly support product decisions and customer engagements by helping demonstrate how Shield AI's AI-powered platforms perform in realistic and contested operational environments.

Key responsibilities include:

• Executing operational analyses to assess the effectiveness of autonomous systems in representative military scenarios.
• Developing and running modeling, simulation, and wargaming analyses to evaluate system performance, mission impact, and survivability in contested environments.
• Collaborating with engineering teams and product managers to translate operational findings into actionable system insights.
• Performing trade studies and sensitivity analyses to assess system performance across varying operational conditions, assumptions, and threat environments.
• Building, modifying, and analyzing mission-level models using tools such as AFSIM, STK, MATLAB, Python, or similar M&S frameworks.
• Analyzing force-on-force engagements, sensor performance, and autonomy-enabled behaviors to support mission effectiveness assessments.
• Engaging with DoD stakeholders, operators, and analysts to understand mission needs and operational constraints.
• Contributing to the development and refinement of concepts of operations (CONOPS) for AI-enabled aircraft capabilities.
• Monitoring emerging threats and operational challenges relevant to autonomous and air combat systems.
• Preparing technical documentation, analysis reports, and briefings for internal teams, customers, and government stakeholders.

Required qualifications include:

• Bachelor's degree in science, technology, engineering, or math domain.
• 5+ years of experience in operational analysis, modeling & simulation, operations research, or related defense or aerospace roles.
• Active Secret at a minimum. Preferred Top Secret (or ability to obtain one).

Preferred qualifications include:

• Prior experience in force-on-force analysis, CONOPS development, or military campaign modeling.
• Familiarity with DoD acquisition processes, tools (Brawler, ESAMS, etc.), Joint Capabilities Integration and Development System (JCIDS), and military operational testing.
• Prior experience in systems engineering product development lifecycle (SysML or MBSE preferred)

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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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This position requires a deep understanding of military operations, wargaming, modeling & simulation (M&S), and operational analysis techniques. Your work will directly shape Shield AI's strategy by identifying how our AI-powered aircraft can best serve the evolving needs of modern warfare.

Responsibilities:

• Develop and execute operational analysis strategies to assess the effectiveness of autonomous aircraft in real-world military scenarios.
• Lead modeling, simulation, and wargaming efforts to evaluate system performance, mission impact, and survivability in contested environments.
• Work closely with engineering teams to translate operational insights into design decisions and system improvements.
• Conduct trade studies and sensitivity analyses to assess system performance under varying operational conditions and threats.
• Utilize advanced modeling & simulation tools (e.g., AFSIM, STK, MATLAB, Python) to develop high-fidelity mission models.
• Analyze force-on-force engagements, sensor effectiveness, and autonomy-driven decision-making to optimize mission success.
• Collaborate with DoD stakeholders, operators, and warfighters to understand mission needs and align system capabilities with operational requirements.
• Develop and present technical reports, briefings, and recommendations to senior leadership, customers, and government agencies.
• Support concept of operations (CONOPS) development for new AI-driven aircraft capabilities.
• Identify emerging threats and operational challenges, ensuring Shield AI's systems remain ahead of adversary capabilities.

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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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As a Senior Software Engineer, C++ Software Integration, you will design, implement, and maintain C++ and Python software in support of complex, cross-platform systems. You will contribute to system architecture with a focus on performance, maintainability, and integration. You will develop and support APIs and messaging interfaces, integrate third-party software and hardware systems, including real-time and simulation tools. You will debug and support distributed systems, with attention to threading, timing, and data flow. You will apply modern agile practices such as test-driven development, continuous integration, and automated testing. You will improve and maintain CI/CD workflows using tools like GitLab CI, Docker, CMake, and Conan. You will collaborate across teams and projects to share solutions and promote good software practices. You will continuously learn and adapt to new tools, standards, and technologies.

This position is ideal for a C++ generalist who thrives on tackling complex challenges in systems and systems integration. If you enjoy building cross-language software, improving CI/CD pipelines, and integrating distributed real-time systems, you'll find this role rewarding.

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This position offers an exciting opportunity to apply your technical expertise in autonomy and system integration while growing your skills in a fast-paced and collaborative environment. You will work on cutting-edge projects that advance the capabilities of autonomous systems and ensure their seamless integration into real-world platforms.

Responsibilities:

• Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution.
• Assist in developing autonomy algorithms for path planning, decision-making, perception, and control to meet system performance and mission requirements.
• Support the integration of autonomy algorithms with platform hardware and software, including sensors, control systems, and communication interfaces.
• Conduct simulation-based testing (HIL/SIL) and participate in live system tests to validate autonomy functionality and identify areas for improvement.
• Work closely with software developers, systems engineers, and testing teams to ensure alignment of autonomy capabilities with overall system architecture and mission goals.
• Debug and optimize autonomy systems to enhance performance, reliability, and adaptability.
• Contribute to technical documentation, test reports, and presentations for stakeholders and team members.
• Stay current on emerging trends and technologies in robotics, autonomy, and AI to incorporate best practices into development efforts.

Requirements:

• Bachelor’s Degree in Computer Science, Electrical Engineering, Aerospace Engineering, Robotics, or a related field (Master’s preferred).
• 10+ years of experience developing and integrating autonomy algorithms in robotics, aerospace, or defense systems.
• 2+ years managing technical teams.
• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).
• Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).
• 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:

• Familiarity with open architecture standards (e.g., OMS/UCI or FACE) and regulatory standards (e.g., DO-178C).
• Active SECRET Clearance.

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This position requires a strong working knowledge of military operations, modeling & simulation (M&S), data science, and operational analysis techniques. Your analyses will directly support product decisions and customer engagements by helping demonstrate how Shield AI's AI-powered platforms perform in realistic and contested operational environments.

Responsibilities:

• Execute operational analyses to assess the effectiveness of autonomous systems in representative military scenarios.
• Develop and run modeling, simulation, and wargaming analyses to evaluate system performance, mission impact, and survivability in contested environments.
• Collaborate with engineering teams and product managers to translate operational findings into actionable system insights.
• Perform trade studies and sensitivity analyses to assess system performance across varying operational conditions, assumptions, and threat environments.
• Build, modify, and analyze mission-level models using tools such as AFSIM, STK, MATLAB, Python, or similar M&S frameworks.
• Analyze force-on-force engagements, sensor performance, and autonomy-enabled behaviors to support mission effectiveness assessments.
• Engage with DoD stakeholders, operators, and analysts to understand mission needs and operational constraints.
• Contribute to the development and refinement of concepts of operations (CONOPS) for AI-enabled aircraft capabilities.
• Monitor emerging threats and operational challenges relevant to autonomous and air combat systems.
• Prepare technical documentation, analysis reports, and briefings for internal teams, customers, and government stakeholders.
• Apply modern compute and development best practices (e.g., version control, scripting, scalable compute workflows, and reproducible analysis) to build and maintain reliable analysis pipelines.

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In this role, you will guide multidisciplinary engineering teams in designing, implementing, and integrating high-performance real-time and faster than real-time simulation frameworks across distributed, containerized, and hardware-in-the-loop environments. Your work will directly support key customer programs, internal R&D, and mission-critical autonomy development,ensuring our simulation ecosystem is robust, scalable, and operationally representative.

Responsibilities:

• Simulation Architecture Leadership – Lead the design and evolution of distributed, real-time simulation systems that support autonomy development, verification, and validation across virtual, constructive, and live environments.

• High-Performance Software Development – Architect and implement C++, software for modelling, simulation, and integration workflows, while maintaining compatibility with legacy standards for seamless system interoperability.

• Real-Time & Distributed Simulation – Develop, optimize, and deploy software for real-time mission execution environments, including multi-agent scenarios and high-fidelity system-of-systems simulations.

• Simulation Framework Integration – Apply practical experience with defence simulation frameworks such as AFSIM or NGTS to accelerate capability delivery and ensure alignment with defence customer expectations.

• Containerized Deployment – Leverage Docker, Kubernetes or similar technologies to ensure repeatable, scalable, and modular simulation deployments across development, CI, and operational environments.

• Technical & Project Leadership – Lead engineering teams of 5+ contributors, ensuring alignment across software, test, autonomy, perception, and program stakeholders. Drive quality, delivery, and technical excellence.

• Collaboration & Delivery – Work closely with cross-functional teams to integrate simulation with autonomy algorithms, hardware interfaces, and test pipelines, enabling rapid experimentation, regression testing, and mission readiness.

• Innovation & Continuous Improvement – Champion best practices in CI/CD, test-driven development, design patterns, and system architecture. Explore and adopt modern technologies to expand modelling and simulation capabilities.

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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

XML job scraping automation by YubHub

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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We currently have 614 open roles

This position is a remote role; however, the successful candidate must be based in either the Huntsville, AL, or Colorado Springs, CO area.

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

Ansys Government Initiatives (AGI) is a wholly owned subsidiary of Synopsys, focused on advancing digital modeling and simulation for critical aerospace and defense applications. Our Ansys Customer Excellence (ACE) team collaborates with industry leaders and government agencies to model real-world systems and deliver state-of-the-art solutions for multi-domain, missile defense, sensor simulation, and AI/ML-driven analysis.

You Are:

You are a highly experienced engineering professional with a passion for advancing technology in aerospace and defense. Your expertise spans missile defense, sensor phenomenology, and signature modeling, allowing you to bridge the gap between physics-based simulations and real-world operational needs. You thrive in environments where complex systems require innovative thinking and technical rigor, and you are eager to make a meaningful impact on national security and defense initiatives.

Your deep domain knowledge enables you to integrate multi-domain sensing systems and radar phenomenology into simulation frameworks, supporting next-generation analysis and simulation. You possess a strong background in modeling threat trajectories, sensing environments and phenomenology, and generating datasets for AI/ML training. Your technical leadership and collaborative spirit empower you to work alongside subject matter experts, government partners, and industry stakeholders, ensuring the highest standards of simulation fidelity and accuracy.

With an active DoD TS/SCI clearance, you are ready to tackle sensitive and challenging projects. Your self-motivation, organizational skills, and ability to multitask equip you to excel in a fast-paced, timeline-driven environment. You are fluent in technical communication, adept at problem-solving, and driven to succeed in contributing to the aerospace and defense community.

What You’ll Be Doing:

• Develop high-fidelity modeling and simulation environments for air and missile defense systems.

• Model threat trajectories and associated signature behaviors across multiple sensing modalities, including RF, IR, and other relevant spectra.

• Develop and integrate signature simulation capabilities to represent realistic missile launch, staging events, and associated sensor-observable phenomena.

• Apply expertise in radar phenomenology and RF sensing systems, including understanding how different radar bands and sensor architectures observe and interpret target behavior.

• Simulate complex sensor observations for threat detection, tracking, discrimination, and battle management decision support.

• Implement and utilize advanced modeling frameworks to represent sensing systems, track fusion, and custody management functions across the missile defense kill chain.

• Contribute to the design and generation of synthetic data environments for training AI/ML systems used in sensor interpretation, target discrimination, and data fusion

• Develop robust training datasets covering target-present and target-absent scenarios to mitigate algorithmic bias.

• Collaborate with experts in signature characterization, sensor phenomenology, and threat modeling to ensure simulation fidelity and technical accuracy.

• Support integration of modeling and sensing simulations into larger operational and analysis frameworks.

• Provide technical leadership in missile defense sensing, signature modeling, and simulation fidelity.

• Assist in defining modeling requirements and technical approaches for emerging programs involving generative simulation of sensing systems.

The Impact You Will Have:

• Advance the development of next-generation air and missile defense systems through high-fidelity simulations.
• Enhance the realism and accuracy of threat modeling, supporting critical defense analysis and simulation.
• Drive innovation in sensor simulation and data generation for AI/ML applications in defense environments.
• Improve operational effectiveness by enabling robust detection, tracking, and discrimination capabilities.
• Support national security initiatives through technical leadership and expertise in missile defense architectures.
• Foster collaboration across government, industry, and research partners to deliver impactful solutions.
• Mitigate algorithmic bias and improve machine learning model performance with comprehensive synthetic datasets.
• Contribute to the integration of advanced simulation tools into broader operational frameworks, enhancing overall system capabilities.

What You’ll Need:

• BS degree in Engineering, Physics, Computer Science, or related field (Minimum Requirements -BS+10, MS+8years of experience, Preferred Requirements-BS+12, MS+10, or PhD+7years of experience).
• Proficiency in MATLAB or Python scripting for modeling and interfacing with DoD systems.
• Extensive experience in air and missile defense systems and related sensor architectures.
• Deep understanding of sensor phenomenology and signature modeling, including RF and IR signatures.
• Experience with real-world radar or EO/IR systems and data, to include threat systems.
• Experience modeling radar sensing environments, including knowledge of radar bands (e.g., X-band) and their implications for target detection and characterization
• Experience with Systems Tool Kit (STK) and Advanced Framework for Simulation, Integration and Modeling (AFSIM).
• Familiarity with track fusion, discrimination algorithms, and battle management concepts within missile defense architectures.
• Experience generating synthetic datasets for AI/ML training.
• Understanding of machine learning data preparation and bias mitigation for sensor and target recognition applications.
• Understanding of missile flight dynamics, including staging events and trajectory behaviors that impact sensor observables.
• This position requires an active government security clearance, TS/SCI. You must be a U.S. Citizen for consideration.

Who You Are:

• Logical problem-solver with strong interpersonal and communication skills.
• Fluent in writing and speaking English.
• Organized, with effective time management and a sense of urgency.
• Professional image and business acumen; driven to succeed.
• Self-motivated, able to multitask and thrive in timeline-driven environments.
• Collaborative, able to work with other departments, customers, and industry partners.
• Willing to travel domestically up to 25% of the time.

The Team You’ll Be A Part Of:

You will join the Ansys Customer Excellence (ACE) team, a group of passionate engineers and technical experts dedicated to advancing simulation, modeling, and analysis for the aerospace and defense sector. The team collaborates closely with government agencies, laboratories, and industry partners to deliver innovative solutions that shape the future of air and missile defense. Together, we strive for technical excellence, operational impact, and continuous improvement in digital

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We currently have 614 open roles

Senior Aerospace Engineer

At Ansys, Part of Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, empowering the aerospace and defense industries through advanced simulation, digital mission engineering, and systems integration.

You are a highly skilled engineering professional with a passion for aerospace innovation and digital mission engineering. Your technical expertise is matched by your commitment to collaborative problem-solving and customer success. With a strong academic background in engineering, physics, or computer science, you’ve spent years honing your abilities in simulation, systems integration, and mission analysis.

What You’ll Be Doing:

• Lead and assist in coordinating technical activities throughout the sales lifecycle, including discovery, product presentations, demonstrations, and evaluations.
• Provide technical leadership on Ansys product offerings, guiding customers to maximize sales opportunities and solution adoption.
• Act as a product expert in Digital Mission Engineering (DME) software such as Systems Tool Kit (STK) and Orbit Determination Tool Kit (ODTK), analyzing customer requirements and articulating Ansys’ value proposition.
• Develop and implement holistic system-level solutions by integrating technologies like model-based systems engineering, simulation process/data management, and design optimization.

The Impact You Will Have:

• Drive adoption of Digital Mission Engineering software within key aerospace and defense organizations, shaping future industry standards.
• Enhance customer workflows and mission success by integrating advanced simulation and systems engineering solutions.
• Strengthen Ansys’ market position by providing technical leadership and fostering long-term customer relationships.

What You’ll Need:

• Bachelor’s degree in Engineering, Physics, Computer Science, or a related field; advanced degrees preferred.
• Minimum 5 years of professional experience in an engineering software environment (BS+5, MS+3, PhD+0).
• Demonstrated use of Ansys software or knowledge of commercial process integration, optimization, systems engineering, mission simulation, PLM, PDM, SPDM, and CAD tools.

Who You Are:

• Collaborative team player with outstanding interpersonal and communication skills, fluent in English.
• Organized, detail-oriented, and able to manage multiple tasks with a sense of urgency.

The Team You’ll Be A Part Of:

Join a multidisciplinary team of engineers, software developers, and business professionals dedicated to advancing digital mission engineering in the aerospace and defense sectors. You’ll collaborate closely with Ansys Customer Excellence teams, product development, sales, marketing, and business development, working together to deliver innovative solutions and exceptional customer support.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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