Date Posted: 2026-09-21 Country: United States of America Location: US-IA-CEDAR RAPIDS- C Ave NE BLDG 131 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The company will offer immigration sponsorship for this position, if needed. The company will not seek an export authorization for this role. Security Clearance Type: None/Not Required Security Clearance Status: Not Required At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense. Collins Aerospace is looking for a Senior Systems Engineer to support the development and sustainment of communication products. The engineer who fills this position must demonstrate a high level of professional competence and knowledge of the principles and techniques commonly used in systems development, integration, verification, and qualification related to avionics. The selected candidate will perform assignments requiring the use and application of systems engineering principles and techniques for the integration of hardware and software. This role will require hands-on software integration testing on target hardware, troubleshooting across hardware/software interfaces, and supporting both development and fielded product sustainment. The engineer who fills this position must also have strong design, analytical, and problem-solving skills for both hardware and software. This is an onsite position based in Cedar Rapids, Iowa. What you will do: Develop product-level requirements from customer and industry specifications. Further decompose requirements to support both software and hardware development. Perform trade studies to support and optimize the technical solution and requirements. Define integration and verification strategies for avionic functions and products, create test plans, test cases and procedures, execute system verification, and create test reports. Perform hands-on integration of software applications, embedded software, system software, and hardware in a laboratory environment. Execute software integration testing on engineering development units, flight-like hardware, production hardware, and/or hardware-in-the-loop test benches. Troubleshoot and debug integration issues across hardware, software, firmware, operating systems, drivers, and external interfaces. Use lab equipment and engineering tools to support integration, verification, failure investigation, and root-cause analysis. Analyze data gathered and develop solutions or alternative methods of proceeding to optimize performance and increase efficiencies in development activities. Communicate effectively to a host of stakeholders across the technical spectrum, including customers, program management, senior leadership, and functional teams. Provide technical support for fielded avionics systems through troubleshooting, root-cause analysis, engineering changes, and lifecycle sustainment activities. Qualifications you must have: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience Experience with system-level requirements decomposition and analysis, system design and allocation to subsystems/products, system integration planning and execution, and system-level verification and validation. Experience integrating software applications, embedded software, or system software onto target hardware platforms. Experience developing, executing, and troubleshooting system integration test procedures in a lab or hardware-in-the-loop environment. Experience debugging integration issues across hardware, software, firmware, operating systems, drivers, and external interfaces. Experience supporting root-cause analysis, failure investigation, defect resolution, and verification closure for complex electronic systems. Ability to read and interpret system architecture diagrams, electrical schematics, interface control documents, software requirements, and test documentation. Experience documenting technical findings, test results, problem reports, and engineering recommendations in a clear and concise manner. Strong analytical and problem-solving skills with the ability to isolate issues in complex hardware/software systems. Qualifications we prefer: Working knowledge of common communication interfaces and protocols for avionics/data interfaces. Experience with avionics communication systems, aircraft data networks, airborne routers, data loaders, wireless systems, or connected aircraft products. Working knowledge of avionics regulations and certification standards including TSO, PMA, STC, DO-160, DO-254, DO-356 and DO-178B/C. Experience with hardware/software integration on embedded Linux, Windows, real-time operating systems, or other embedded computing platforms. Experience with scripting or automation tools to support test execution, data collection, and analysis such as Python, Robot Framework, etc. Experience with networking concepts including TCP/IP, UDP, VLANs, routing, switching, packet capture, Wi-Fi, cellular, or SATCOM-related interfaces. Experience using tools such as Wireshark, Jira, DOORS, Jama, Cameo, Git, Bitbucket, Jenkins, or similar engineering development tools. Experience using test equipment and lab tools such as oscilloscopes, logic analyzers, protocol analyzers, power supplies, network analyzers, or similar equipment to support hardware/software troubleshooting. Experience supporting formal qualification, certification, or production transition activities for aerospace or other regulated products. Experience performing integration testing using engineering development units, flight-like hardware, production hardware, or hardware-in-the-loop test benches. Experience troubleshooting board-level or system-level issues involving power, boot-up, interfaces, timing, thermal behavior, signal integrity, or environmental performance. Experience coordinating with software, hardware, systems, test, manufacturing, quality, suppliers, and program teams to resolve technical issues. Experience supporting fielded product investigations, customer-reported issues, engineering change proposals, and sustainment of released products. Experience working with multidisciplinary teams using both Agile and waterfall development methods. Exhibiting strong team skills working with both domestic and international team members. Effective time management and ability to work independently with minimal direct supervision. Familiarity with model-based systems engineering, MBSE, tools. Familiarity with cybersecurity, secure boot, software loading, configuration management, or data integrity considerations for connected avionics products. Familiarity with aircraft installation, aircraft interfaces, airline operations, or avionics maintenance concepts. What we offer: Medical, dental, and vision insurance Three weeks of vacation for newly hired employees Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option Tuition reimbursement program Student Loan Repayment Program Life insurance and disability coverage Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection Birth, adoption, parental leave benefits Ovia Health, fertility, and family planning Adoption Assistance Autism Benefit Employee Assistance Plan, including up to 10 free counseling sessions Healthy You Incentives, wellness rewards program Doctor on Demand, virtual doctor visits Bright Horizons, child and elder care services Teladoc Medical Experts, second opinion program And more! Learn More & Apply Now! Avionics delivers advanced cockpit displays, vision systems, and comprehensive digital solutions for global government, commercial and business aviation customers. We provide connectivity and managed data services to ensure safety and seamless communication for passengers, crews, and militaries, from aircraft and airports to air traffic management. Join us in creating solutions that connect the world, one flight at a time. Start your application today. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Regardless of your role type . click apply for full job details
09/23/2026
Full time
Date Posted: 2026-09-21 Country: United States of America Location: US-IA-CEDAR RAPIDS- C Ave NE BLDG 131 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The company will offer immigration sponsorship for this position, if needed. The company will not seek an export authorization for this role. Security Clearance Type: None/Not Required Security Clearance Status: Not Required At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense. Collins Aerospace is looking for a Senior Systems Engineer to support the development and sustainment of communication products. The engineer who fills this position must demonstrate a high level of professional competence and knowledge of the principles and techniques commonly used in systems development, integration, verification, and qualification related to avionics. The selected candidate will perform assignments requiring the use and application of systems engineering principles and techniques for the integration of hardware and software. This role will require hands-on software integration testing on target hardware, troubleshooting across hardware/software interfaces, and supporting both development and fielded product sustainment. The engineer who fills this position must also have strong design, analytical, and problem-solving skills for both hardware and software. This is an onsite position based in Cedar Rapids, Iowa. What you will do: Develop product-level requirements from customer and industry specifications. Further decompose requirements to support both software and hardware development. Perform trade studies to support and optimize the technical solution and requirements. Define integration and verification strategies for avionic functions and products, create test plans, test cases and procedures, execute system verification, and create test reports. Perform hands-on integration of software applications, embedded software, system software, and hardware in a laboratory environment. Execute software integration testing on engineering development units, flight-like hardware, production hardware, and/or hardware-in-the-loop test benches. Troubleshoot and debug integration issues across hardware, software, firmware, operating systems, drivers, and external interfaces. Use lab equipment and engineering tools to support integration, verification, failure investigation, and root-cause analysis. Analyze data gathered and develop solutions or alternative methods of proceeding to optimize performance and increase efficiencies in development activities. Communicate effectively to a host of stakeholders across the technical spectrum, including customers, program management, senior leadership, and functional teams. Provide technical support for fielded avionics systems through troubleshooting, root-cause analysis, engineering changes, and lifecycle sustainment activities. Qualifications you must have: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience Experience with system-level requirements decomposition and analysis, system design and allocation to subsystems/products, system integration planning and execution, and system-level verification and validation. Experience integrating software applications, embedded software, or system software onto target hardware platforms. Experience developing, executing, and troubleshooting system integration test procedures in a lab or hardware-in-the-loop environment. Experience debugging integration issues across hardware, software, firmware, operating systems, drivers, and external interfaces. Experience supporting root-cause analysis, failure investigation, defect resolution, and verification closure for complex electronic systems. Ability to read and interpret system architecture diagrams, electrical schematics, interface control documents, software requirements, and test documentation. Experience documenting technical findings, test results, problem reports, and engineering recommendations in a clear and concise manner. Strong analytical and problem-solving skills with the ability to isolate issues in complex hardware/software systems. Qualifications we prefer: Working knowledge of common communication interfaces and protocols for avionics/data interfaces. Experience with avionics communication systems, aircraft data networks, airborne routers, data loaders, wireless systems, or connected aircraft products. Working knowledge of avionics regulations and certification standards including TSO, PMA, STC, DO-160, DO-254, DO-356 and DO-178B/C. Experience with hardware/software integration on embedded Linux, Windows, real-time operating systems, or other embedded computing platforms. Experience with scripting or automation tools to support test execution, data collection, and analysis such as Python, Robot Framework, etc. Experience with networking concepts including TCP/IP, UDP, VLANs, routing, switching, packet capture, Wi-Fi, cellular, or SATCOM-related interfaces. Experience using tools such as Wireshark, Jira, DOORS, Jama, Cameo, Git, Bitbucket, Jenkins, or similar engineering development tools. Experience using test equipment and lab tools such as oscilloscopes, logic analyzers, protocol analyzers, power supplies, network analyzers, or similar equipment to support hardware/software troubleshooting. Experience supporting formal qualification, certification, or production transition activities for aerospace or other regulated products. Experience performing integration testing using engineering development units, flight-like hardware, production hardware, or hardware-in-the-loop test benches. Experience troubleshooting board-level or system-level issues involving power, boot-up, interfaces, timing, thermal behavior, signal integrity, or environmental performance. Experience coordinating with software, hardware, systems, test, manufacturing, quality, suppliers, and program teams to resolve technical issues. Experience supporting fielded product investigations, customer-reported issues, engineering change proposals, and sustainment of released products. Experience working with multidisciplinary teams using both Agile and waterfall development methods. Exhibiting strong team skills working with both domestic and international team members. Effective time management and ability to work independently with minimal direct supervision. Familiarity with model-based systems engineering, MBSE, tools. Familiarity with cybersecurity, secure boot, software loading, configuration management, or data integrity considerations for connected avionics products. Familiarity with aircraft installation, aircraft interfaces, airline operations, or avionics maintenance concepts. What we offer: Medical, dental, and vision insurance Three weeks of vacation for newly hired employees Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option Tuition reimbursement program Student Loan Repayment Program Life insurance and disability coverage Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection Birth, adoption, parental leave benefits Ovia Health, fertility, and family planning Adoption Assistance Autism Benefit Employee Assistance Plan, including up to 10 free counseling sessions Healthy You Incentives, wellness rewards program Doctor on Demand, virtual doctor visits Bright Horizons, child and elder care services Teladoc Medical Experts, second opinion program And more! Learn More & Apply Now! Avionics delivers advanced cockpit displays, vision systems, and comprehensive digital solutions for global government, commercial and business aviation customers. We provide connectivity and managed data services to ensure safety and seamless communication for passengers, crews, and militaries, from aircraft and airports to air traffic management. Join us in creating solutions that connect the world, one flight at a time. Start your application today. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Regardless of your role type . click apply for full job details
Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity . click apply for full job details
09/23/2026
Full time
Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity . click apply for full job details
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: SCI TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman's Space Systems Sector is seeking a Systems Engineer - Level 5 to join our team in Redondo Beach, CA. Please be aware that this position is contingent upon capturing program award(s) and obtaining and maintaining associated business and/or customer funding. Furthermore, this position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance at the level of clearance and program access required for the position in the future. In this role, the Systems Engineer - Level 5 will work in tandem with a scrum team of other software and systems engineers responsible for defining the product vision, managing the product backlog, and ensuring that all features align with business objectives. You will work closely with cross-functional teams to prioritize tasks and facilitate the timely delivery of high-quality mission focused software systems solutions. Additionally, you will incorporate user feedback to continuously refine the product roadmap and drive innovation in response to evolving customer needs. Development is done within the Agile paradigm using the Atlassian tool suite, so you will need to be able to work within an Agile environment. You will have experience in systems engineering with space domain knowledge, and you will define the requirements, interfaces, processes, use cases, protocols, schemas, sequence of interactions driving the software design for Ground Segment Functions for a system. You will integrate and test software segments, automate tests, verify requirements, and deliver products to operations. You will be supporting a program through full life-cycle milestones in Agile sprints to achieve the mission, you will have strong verbal and written communication skills, and you are expected to operate independently with little oversight in a dynamic environment. You will have experience with MBSE (Model Based Systems Engineering), CAMEO, SysML diagramming, requirements & verification, domain and mission knowledge, and work with or as software system engineering. You are highly self-motivated, reporting information to leads and the customer. You are expected to handle diverse assignments with efficiency, find unique solutions, and work in a very collaborative and fast-paced environment that continues to grow. Job responsibilities include, but are not limited to, the following: -Drive development and execution of features for the satellite ground systems domain with familiarity in reading CAMEO/MBSE models -Participate in working groups, research customer needs and interfaces, and then translate them into digital artifacts to enable software implementation -Support and/or lead development of verification planning, test requirements, and other key products -Work scope covers a range of Systems Engineering disciplines and products, including requirements & verification, interfaces, architecture, and design, integration, test and sell-off -Engage in sprint planning, stand ups, retrospectives, and reviews while maintaining alignment with product vision and mission goals -Provide subject matter expertise in Space-Vehicle Command and Control System areas and collaborate with other teams and unit level engineers supporting subsystems -Conduct demos and briefings for customers and senior leadership -Ensure seamless integration of capabilities, epics, and features with ground satellite software systems solutions -Utilize Atlassian tool suite, including Jira dashboards and Confluence knowledge bases -Support and/or lead preparation and execution of milestones and Agile product increments -Engage with multiple working groups and control boards -Additional specifics of responsibilities can be tailored based on the skillset and experience of the selected candidate Basic Qualifications for Systems Engineer - Level 5: -Bachelor's degree in STEM (Science, Technology, Engineering, Math) discipline with 12+ years of engineering experience OR -Master's degree in STEM (Science, Technology, Engineering, Math) discipline with 10+ years of engineering experience OR -PhD in STEM (Science, Technology, Engineering, Math) discipline with 8+ years of engineering experience -Candidate must have an active SCI at time of application and prior to start date OR -Candidate must have an active U.S. Government Top Secret security clearance (or equivalent) at time of application and prior to start date as well as the ability and willingness to obtain and maintain an active SCI prior to start date. Continued employment thereafter will be subject to the candidate's maintenance of the level of clearance and program access required for the position in the future. -2+ years of experience with developing and evaluating behavioral and structural architecture diagrams using MBSE (Model Based Systems Engineering) methodology and tooling or equivalent -2+ years of experience using No Magic Cameo or equivalent -Experience with space-vehicle, command-and-control, mission management, mission data processing, or software subsystems -Demonstrated written and oral communications skills through written requirements, test, and evaluation criteria -2+ years of experience with Systems Engineering processes and artifacts development in support of SW development, including use cases, interface control documents, class diagrams, sequence diagrams, database design, schema development, and SW protocols such as REST, HTTP, & RESP or equivalent -Experience working on Agile programs and methodology Preferred Qualifications for Systems Engineer - Level 5: -3+ years of experience with command-and-control, network management, flight dynamics, and/or orbit determination for space-vehicle related software systems -Experience working with Space Vehicle Subsystems including thermal, power, attitude control system, propulsion, and/or communications -Familiarity with cloud-based architectures such as Kubernetes, containers, and orchestrators -Experience working mission focused threads -Experience with the software development lifecycle -Experience with JIRA/Confluence -Experience working with a geographically distributed team -Experience with Automated Test and Integration frameworks including Playwright -Active SCI at time of application and prior to start date. Please be aware that this position is contingent upon capturing program award(s) and obtaining and maintaining associated business and/or customer funding. Furthermore, this position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance at the level of clearance and program access required for the position in the future. Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: . Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site: Northrop Grumman Total Rewards As a full-time employee of Northrop Grumman, you are eligible for: -Medical, Dental & Vision coverage -401k -Educational Assistance -Life Insurance -Employee Assistance Programs & Work/Life Solutions -Paid Time Off -Health & Wellness Resources -Employee Discounts -Flexible Schedules: for example, the ability to work a 9/80 work schedule, which allows an employee to work a nine-hour day Monday through Thursday and take every other Friday off of work. Primary Level Salary Range: $177,000.00 - $265,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results . click apply for full job details
09/23/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: SCI TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman's Space Systems Sector is seeking a Systems Engineer - Level 5 to join our team in Redondo Beach, CA. Please be aware that this position is contingent upon capturing program award(s) and obtaining and maintaining associated business and/or customer funding. Furthermore, this position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance at the level of clearance and program access required for the position in the future. In this role, the Systems Engineer - Level 5 will work in tandem with a scrum team of other software and systems engineers responsible for defining the product vision, managing the product backlog, and ensuring that all features align with business objectives. You will work closely with cross-functional teams to prioritize tasks and facilitate the timely delivery of high-quality mission focused software systems solutions. Additionally, you will incorporate user feedback to continuously refine the product roadmap and drive innovation in response to evolving customer needs. Development is done within the Agile paradigm using the Atlassian tool suite, so you will need to be able to work within an Agile environment. You will have experience in systems engineering with space domain knowledge, and you will define the requirements, interfaces, processes, use cases, protocols, schemas, sequence of interactions driving the software design for Ground Segment Functions for a system. You will integrate and test software segments, automate tests, verify requirements, and deliver products to operations. You will be supporting a program through full life-cycle milestones in Agile sprints to achieve the mission, you will have strong verbal and written communication skills, and you are expected to operate independently with little oversight in a dynamic environment. You will have experience with MBSE (Model Based Systems Engineering), CAMEO, SysML diagramming, requirements & verification, domain and mission knowledge, and work with or as software system engineering. You are highly self-motivated, reporting information to leads and the customer. You are expected to handle diverse assignments with efficiency, find unique solutions, and work in a very collaborative and fast-paced environment that continues to grow. Job responsibilities include, but are not limited to, the following: -Drive development and execution of features for the satellite ground systems domain with familiarity in reading CAMEO/MBSE models -Participate in working groups, research customer needs and interfaces, and then translate them into digital artifacts to enable software implementation -Support and/or lead development of verification planning, test requirements, and other key products -Work scope covers a range of Systems Engineering disciplines and products, including requirements & verification, interfaces, architecture, and design, integration, test and sell-off -Engage in sprint planning, stand ups, retrospectives, and reviews while maintaining alignment with product vision and mission goals -Provide subject matter expertise in Space-Vehicle Command and Control System areas and collaborate with other teams and unit level engineers supporting subsystems -Conduct demos and briefings for customers and senior leadership -Ensure seamless integration of capabilities, epics, and features with ground satellite software systems solutions -Utilize Atlassian tool suite, including Jira dashboards and Confluence knowledge bases -Support and/or lead preparation and execution of milestones and Agile product increments -Engage with multiple working groups and control boards -Additional specifics of responsibilities can be tailored based on the skillset and experience of the selected candidate Basic Qualifications for Systems Engineer - Level 5: -Bachelor's degree in STEM (Science, Technology, Engineering, Math) discipline with 12+ years of engineering experience OR -Master's degree in STEM (Science, Technology, Engineering, Math) discipline with 10+ years of engineering experience OR -PhD in STEM (Science, Technology, Engineering, Math) discipline with 8+ years of engineering experience -Candidate must have an active SCI at time of application and prior to start date OR -Candidate must have an active U.S. Government Top Secret security clearance (or equivalent) at time of application and prior to start date as well as the ability and willingness to obtain and maintain an active SCI prior to start date. Continued employment thereafter will be subject to the candidate's maintenance of the level of clearance and program access required for the position in the future. -2+ years of experience with developing and evaluating behavioral and structural architecture diagrams using MBSE (Model Based Systems Engineering) methodology and tooling or equivalent -2+ years of experience using No Magic Cameo or equivalent -Experience with space-vehicle, command-and-control, mission management, mission data processing, or software subsystems -Demonstrated written and oral communications skills through written requirements, test, and evaluation criteria -2+ years of experience with Systems Engineering processes and artifacts development in support of SW development, including use cases, interface control documents, class diagrams, sequence diagrams, database design, schema development, and SW protocols such as REST, HTTP, & RESP or equivalent -Experience working on Agile programs and methodology Preferred Qualifications for Systems Engineer - Level 5: -3+ years of experience with command-and-control, network management, flight dynamics, and/or orbit determination for space-vehicle related software systems -Experience working with Space Vehicle Subsystems including thermal, power, attitude control system, propulsion, and/or communications -Familiarity with cloud-based architectures such as Kubernetes, containers, and orchestrators -Experience working mission focused threads -Experience with the software development lifecycle -Experience with JIRA/Confluence -Experience working with a geographically distributed team -Experience with Automated Test and Integration frameworks including Playwright -Active SCI at time of application and prior to start date. Please be aware that this position is contingent upon capturing program award(s) and obtaining and maintaining associated business and/or customer funding. Furthermore, this position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance at the level of clearance and program access required for the position in the future. Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: . Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site: Northrop Grumman Total Rewards As a full-time employee of Northrop Grumman, you are eligible for: -Medical, Dental & Vision coverage -401k -Educational Assistance -Life Insurance -Employee Assistance Programs & Work/Life Solutions -Paid Time Off -Health & Wellness Resources -Employee Discounts -Flexible Schedules: for example, the ability to work a 9/80 work schedule, which allows an employee to work a nine-hour day Monday through Thursday and take every other Friday off of work. Primary Level Salary Range: $177,000.00 - $265,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results . click apply for full job details
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman is seeking a Systems Engineer, Mission Modeling Simulation - Level 6, located in Chandler, AZ. You will act as a senior technical leader and architect for modeling, simulation, and analysis of missile and interceptor systems. In this role, you will lead complex Modeling, Simulation, and Analysis (MS&A) efforts, define analysis plans, and serve as a primary technical interface to program leadership. You will combine deep technical expertise with system of systems thinking to influence requirements, architecture, and mission concepts across multiple programs. This position is 100% on site in Chandler, AZ (strongly preferred). Remote candidates may also be considered You will work with various engineering disciplines (systems, GNC, seeker/sensor, software, mission, integration & test, etc.) to: Lead development and integration of mission level and system level performance models, algorithms, and simulations of missiles, interceptors, sensors, threats, and command and control systems Direct operations and behavior analysis, mission effectiveness studies, and assess architecture alternatives for delivering an effect or capability within a broader campaign, including end to end engagement and campaign level assessments Define and oversee MS&A task plans, including model development, verification/validation, and analysis workflows Guide architecture trades and design decisions using data driven recommendations and sensitivity analyses Mentor other Systems Modeling Simulation engineers; provide technical guidance on tools, techniques, and interpretation of results Support technical reviews and proposals, articulating MS&A approaches, risks, and mitigation strategies to internal and external stakeholders Basic Qualifications U.S. citizenship is required Active US Government Secret security clearance Bachelor's degree in a STEM discipline (Aerospace, Mechanical, Electrical Engineering; Physics; Applied Mathematics; Computer Science) and 14 years of related experience in systems engineering, modeling and simulation, or operations analysis; or Master's degree and 12 years; or Ph.D. and 10 years Extensive experience in mission level and system level modeling and simulation for missile/interceptor or integrated air and missile defense systems. Proven experience leading complex MS&A efforts, including scenario design, model integration, and trade studies. Strong background with virtual simulation tools (AFSIM, NGTS, Brawler, STK, MATLAB/Simulink) and mission level operations analysis. Demonstrated ability to mentor and technically lead engineering teams and to interface effectively with program leadership and customers. Excellent written and verbal communication skills, including briefing complex analysis outcomes to program and customer leadership Demonstrated resolve to drive tasks to completion, with a track record of producing and presenting clear, actionable analysis results Preferred Qualifications Ability to obtain and maintain Top Secret and Special Access Program (SAP) access; active TS/SAP is highly preferred Experience in multiple domains, such as: Missile/interceptor guidance, navigation, and control (GNC) RF or EO/IR seeker/sensor modeling Integrated air defense systems (IADS) or threat modeling Electronic attack, electronic protection, and countermeasures modeling Survivability, lethality, and vulnerability analysis at the weapon or mission level Significant experience integrating MS&A into Model Based Systems Engineering (MBSE) and digital engineering environments and system architecture models Demonstrated leadership in improving MS&A tools, frameworks, and visualization capabilities Experience engaging with customers in technical interchange meetings and design reviews, representing MS&A results and recommendations Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site. Northrop Grumman Total Rewards Primary Level Salary Range: $166,500.00 - $249,700.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/23/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman is seeking a Systems Engineer, Mission Modeling Simulation - Level 6, located in Chandler, AZ. You will act as a senior technical leader and architect for modeling, simulation, and analysis of missile and interceptor systems. In this role, you will lead complex Modeling, Simulation, and Analysis (MS&A) efforts, define analysis plans, and serve as a primary technical interface to program leadership. You will combine deep technical expertise with system of systems thinking to influence requirements, architecture, and mission concepts across multiple programs. This position is 100% on site in Chandler, AZ (strongly preferred). Remote candidates may also be considered You will work with various engineering disciplines (systems, GNC, seeker/sensor, software, mission, integration & test, etc.) to: Lead development and integration of mission level and system level performance models, algorithms, and simulations of missiles, interceptors, sensors, threats, and command and control systems Direct operations and behavior analysis, mission effectiveness studies, and assess architecture alternatives for delivering an effect or capability within a broader campaign, including end to end engagement and campaign level assessments Define and oversee MS&A task plans, including model development, verification/validation, and analysis workflows Guide architecture trades and design decisions using data driven recommendations and sensitivity analyses Mentor other Systems Modeling Simulation engineers; provide technical guidance on tools, techniques, and interpretation of results Support technical reviews and proposals, articulating MS&A approaches, risks, and mitigation strategies to internal and external stakeholders Basic Qualifications U.S. citizenship is required Active US Government Secret security clearance Bachelor's degree in a STEM discipline (Aerospace, Mechanical, Electrical Engineering; Physics; Applied Mathematics; Computer Science) and 14 years of related experience in systems engineering, modeling and simulation, or operations analysis; or Master's degree and 12 years; or Ph.D. and 10 years Extensive experience in mission level and system level modeling and simulation for missile/interceptor or integrated air and missile defense systems. Proven experience leading complex MS&A efforts, including scenario design, model integration, and trade studies. Strong background with virtual simulation tools (AFSIM, NGTS, Brawler, STK, MATLAB/Simulink) and mission level operations analysis. Demonstrated ability to mentor and technically lead engineering teams and to interface effectively with program leadership and customers. Excellent written and verbal communication skills, including briefing complex analysis outcomes to program and customer leadership Demonstrated resolve to drive tasks to completion, with a track record of producing and presenting clear, actionable analysis results Preferred Qualifications Ability to obtain and maintain Top Secret and Special Access Program (SAP) access; active TS/SAP is highly preferred Experience in multiple domains, such as: Missile/interceptor guidance, navigation, and control (GNC) RF or EO/IR seeker/sensor modeling Integrated air defense systems (IADS) or threat modeling Electronic attack, electronic protection, and countermeasures modeling Survivability, lethality, and vulnerability analysis at the weapon or mission level Significant experience integrating MS&A into Model Based Systems Engineering (MBSE) and digital engineering environments and system architecture models Demonstrated leadership in improving MS&A tools, frameworks, and visualization capabilities Experience engaging with customers in technical interchange meetings and design reviews, representing MS&A results and recommendations Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site. Northrop Grumman Total Rewards Primary Level Salary Range: $166,500.00 - $249,700.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: SCI TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman's Space Systems Sector is seeking a Systems Engineer - Level 3 to join our team in Redondo Beach, CA. This position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance of the level of clearance and program access required for the position in the future. In this role, the Systems Engineer - Level 3 will work in tandem with a scrum team of other software and systems engineers responsible for defining the product vision, managing the product backlog, and ensuring that all features align with business objectives. You will work closely with cross-functional teams to prioritize tasks and facilitate the timely delivery of high-quality mission focused software systems solutions. Additionally, you will incorporate user feedback to continuously refine the product roadmap and drive innovation in response to evolving customer needs. Development is done within the Agile paradigm using the Atlassian tool suite, so you will need to be able to work within an Agile environment. You will have experience in systems engineering with space domain knowledge, and you will define the requirements, interfaces, processes, use cases, protocols, schemas, sequence of interactions driving the software design for Ground Segment Functions for a system. You will integrate and test software segments, automate tests, verify requirements, and deliver products to operations. You will be supporting a program through full life-cycle milestones in Agile sprints to achieve the mission, you will have strong verbal and written communication skills, and you are expected to operate independently with little oversight in a dynamic environment. You will have experience with MBSE (Model Based Systems Engineering), CAMEO, SysML diagramming, requirements & verification, domain and mission knowledge, and work with or as software system engineering. You are highly self-motivated, reporting information to leads and the customer. You are expected to handle diverse assignments with efficiency, find unique solutions, and work in a very collaborative and fast-paced environment that continues to grow. Job responsibilities include, but are not limited to, the following: -Drive development and execution of features for the satellite ground systems domain with familiarity in reading CAMEO/MBSE models -Participate in working groups, research customer needs and interfaces, and then translate them into digital artifacts to enable software implementation -Support and/or lead development of verification planning, test requirements, and other key products -Work scope covers a range of Systems Engineering disciplines and products, including requirements & verification, interfaces, architecture, and design, integration, test and sell-off -Engage in sprint planning, stand ups, retrospectives, and reviews while maintaining alignment with product vision and mission goals -Provide subject matter expertise in Space-Vehicle Command and Control System areas and collaborate with other teams and unit level engineers supporting subsystems -Conduct demos and briefings for customers and senior leadership -Ensure seamless integration of capabilities, epics, and features with ground satellite software systems solutions -Utilize Atlassian tool suite, including Jira dashboards and Confluence knowledge bases -Support and/or lead preparation and execution of milestones and Agile product increments -Engage with multiple working groups and control boards -Additional specifics of responsibilities can be tailored based on the skillset and experience of the selected candidate Basic Qualifications for Systems Engineer - Level 3: -Bachelor's degree in STEM (Science, Technology, Engineering, Math) discipline with 5+ years of engineering experience OR -Master's degree in STEM (Science, Technology, Engineering, Math) discipline with 3 years of experience OR -PhD degree in STEM discipline with 1 year of experience -Candidate must have an active SCI at time of application and prior to start date OR -Candidate must have an active U.S. Government Top Secret security clearance (or equivalent) at time of application and prior to start date as well as the ability and willingness to obtain and maintain an active SCI prior to start date. Continued employment thereafter will be subject to the candidate's maintenance of the level of clearance and program access required for the position in the future. Experience with developing and evaluating behavioral and structural architecture diagrams using MBSE (Model Based Systems Engineering) methodology and tooling or equivalent -Experience using No Magic Cameo or equivalent -Experience with space-vehicle, command-and-control, mission management, mission data processing, or software subsystems -Demonstrated written and oral communications skills through written requirements, test, and evaluation criteria -Experience with Systems Engineering processes and artifacts development in support of SW development, including use cases, interface control documents, class diagrams, sequence diagrams, database design, schema development, and SW protocols such as REST, HTTP, & RESP or equivalent -Experience working on Agile programs and methodology Preferred Qualifications for Systems Engineer - Level 3: -Experience with command-and-control, network management, flight dynamics, and/or orbit determination for space-vehicle related software systems -Experience working with Space Vehicle Subsystems including thermal, power, attitude control system, propulsion, and/or communications -Familiarity with cloud-based architectures such as Kubernetes, containers, and orchestrators -Experience working mission focused threads -Experience with the software development lifecycle -Experience with JIRA/Confluence -Experience working with a geographically distributed team -Experience with Automated Test and Integration frameworks including Playwright -Active SCI at time of application and prior to start date. This position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance of the level of clearance and program access required for the position in the future. Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: . Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site: Northrop Grumman Total Rewards As a full-time employee of Northrop Grumman, you are eligible for: -Medical, Dental & Vision coverage -401k -Educational Assistance -Life Insurance -Employee Assistance Programs & Work/Life Solutions -Paid Time Off -Health & Wellness Resources -Employee Discounts -Flexible Schedules: for example, the ability to work a 9/80 work schedule, which allows an employee to work a nine-hour day Monday through Thursday and take every other Friday off of work. Primary Level Salary Range: $114,000.00 - $171,000.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. . click apply for full job details
09/23/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: SCI TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman's Space Systems Sector is seeking a Systems Engineer - Level 3 to join our team in Redondo Beach, CA. This position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance of the level of clearance and program access required for the position in the future. In this role, the Systems Engineer - Level 3 will work in tandem with a scrum team of other software and systems engineers responsible for defining the product vision, managing the product backlog, and ensuring that all features align with business objectives. You will work closely with cross-functional teams to prioritize tasks and facilitate the timely delivery of high-quality mission focused software systems solutions. Additionally, you will incorporate user feedback to continuously refine the product roadmap and drive innovation in response to evolving customer needs. Development is done within the Agile paradigm using the Atlassian tool suite, so you will need to be able to work within an Agile environment. You will have experience in systems engineering with space domain knowledge, and you will define the requirements, interfaces, processes, use cases, protocols, schemas, sequence of interactions driving the software design for Ground Segment Functions for a system. You will integrate and test software segments, automate tests, verify requirements, and deliver products to operations. You will be supporting a program through full life-cycle milestones in Agile sprints to achieve the mission, you will have strong verbal and written communication skills, and you are expected to operate independently with little oversight in a dynamic environment. You will have experience with MBSE (Model Based Systems Engineering), CAMEO, SysML diagramming, requirements & verification, domain and mission knowledge, and work with or as software system engineering. You are highly self-motivated, reporting information to leads and the customer. You are expected to handle diverse assignments with efficiency, find unique solutions, and work in a very collaborative and fast-paced environment that continues to grow. Job responsibilities include, but are not limited to, the following: -Drive development and execution of features for the satellite ground systems domain with familiarity in reading CAMEO/MBSE models -Participate in working groups, research customer needs and interfaces, and then translate them into digital artifacts to enable software implementation -Support and/or lead development of verification planning, test requirements, and other key products -Work scope covers a range of Systems Engineering disciplines and products, including requirements & verification, interfaces, architecture, and design, integration, test and sell-off -Engage in sprint planning, stand ups, retrospectives, and reviews while maintaining alignment with product vision and mission goals -Provide subject matter expertise in Space-Vehicle Command and Control System areas and collaborate with other teams and unit level engineers supporting subsystems -Conduct demos and briefings for customers and senior leadership -Ensure seamless integration of capabilities, epics, and features with ground satellite software systems solutions -Utilize Atlassian tool suite, including Jira dashboards and Confluence knowledge bases -Support and/or lead preparation and execution of milestones and Agile product increments -Engage with multiple working groups and control boards -Additional specifics of responsibilities can be tailored based on the skillset and experience of the selected candidate Basic Qualifications for Systems Engineer - Level 3: -Bachelor's degree in STEM (Science, Technology, Engineering, Math) discipline with 5+ years of engineering experience OR -Master's degree in STEM (Science, Technology, Engineering, Math) discipline with 3 years of experience OR -PhD degree in STEM discipline with 1 year of experience -Candidate must have an active SCI at time of application and prior to start date OR -Candidate must have an active U.S. Government Top Secret security clearance (or equivalent) at time of application and prior to start date as well as the ability and willingness to obtain and maintain an active SCI prior to start date. Continued employment thereafter will be subject to the candidate's maintenance of the level of clearance and program access required for the position in the future. Experience with developing and evaluating behavioral and structural architecture diagrams using MBSE (Model Based Systems Engineering) methodology and tooling or equivalent -Experience using No Magic Cameo or equivalent -Experience with space-vehicle, command-and-control, mission management, mission data processing, or software subsystems -Demonstrated written and oral communications skills through written requirements, test, and evaluation criteria -Experience with Systems Engineering processes and artifacts development in support of SW development, including use cases, interface control documents, class diagrams, sequence diagrams, database design, schema development, and SW protocols such as REST, HTTP, & RESP or equivalent -Experience working on Agile programs and methodology Preferred Qualifications for Systems Engineer - Level 3: -Experience with command-and-control, network management, flight dynamics, and/or orbit determination for space-vehicle related software systems -Experience working with Space Vehicle Subsystems including thermal, power, attitude control system, propulsion, and/or communications -Familiarity with cloud-based architectures such as Kubernetes, containers, and orchestrators -Experience working mission focused threads -Experience with the software development lifecycle -Experience with JIRA/Confluence -Experience working with a geographically distributed team -Experience with Automated Test and Integration frameworks including Playwright -Active SCI at time of application and prior to start date. This position is contingent upon the candidate obtaining final clearances and program access(es) within a reasonable period of time as determined by the company. Continued employment thereafter will be subject to maintenance of the level of clearance and program access required for the position in the future. Curious about all the exciting developments with the Northrop Grumman Space Sector? Click the link below: . Working at Northrop Grumman is more than just a paycheck. We offer a comprehensive Total Rewards and benefits package designed to help you thrive at work and in life. For more information on our Total Rewards package, please visit our Total Rewards site: Northrop Grumman Total Rewards As a full-time employee of Northrop Grumman, you are eligible for: -Medical, Dental & Vision coverage -401k -Educational Assistance -Life Insurance -Employee Assistance Programs & Work/Life Solutions -Paid Time Off -Health & Wellness Resources -Employee Discounts -Flexible Schedules: for example, the ability to work a 9/80 work schedule, which allows an employee to work a nine-hour day Monday through Thursday and take every other Friday off of work. Primary Level Salary Range: $114,000.00 - $171,000.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. . click apply for full job details
Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity . click apply for full job details
09/21/2026
Full time
Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity . click apply for full job details
Job Description Job Description Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary+ annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation . click apply for full job details
09/16/2026
Full time
Job Description Job Description Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary+ annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation . click apply for full job details
Job Description Job Description Position: RF Systems Engineer II - Test & Communications Program/Support Area: TacAir RIL Location: San Diego, CA Level: Mid to Senior Telework: TBD - role requires laboratory and controlled test environment support Travel: As needed to support test events and evaluation activities Salary: $111,000-$141,000 XSITE LLC is seeking an RF Systems Engineer II - Test & Communications to join our team full-time in support of TacAir RIL engineering, integration, and test activities . This opportunity is well suited for an RF Communications Engineer, RF Test Engineer, or Systems Engineer with experience integrating, testing, and assessing radio communication systems across hardware and software components. The role will focus on RF and waveform behavior, communications performance, systems-level technical analysis, and test execution in laboratory and controlled test environments. We are a Service-Disabled Veteran-Owned Small Business headquartered in San Diego. We provide full-spectrum systems and systems-of-systems engineering and integration services and solutions for space, C5ISR, cyber, and enterprise information systems. Our core capabilities include AI/ML, Software Development & Sustainment, Systems Engineering (including MBSE), and Modeling & Simulation. Responsibilities Integrate, test, and assess radio communication systems across hardware and software components. Conduct RF- and waveform-focused testing in laboratory and controlled test environments. Analyze test results to identify system behavior, performance limits, and RF stress points. Evaluate communications performance under complex RF conditions. Use RF test and measurement equipment and supporting software tools to collect and interpret data. Improve test approaches, analysis methods, and technical products where beneficial to the effort. Prepare clear technical reports, summaries, and supporting engineering data products. Collaborate across engineering disciplines to support integrated system evaluations. Support day-to-day laboratory activities, integration efforts, and test events to keep technical work on track. Travel as needed to support test events and evaluation activities. Required Qualifications Bachelor of Science degree from an accredited college or university in electrical engineering, computer engineering, physics, mathematics, applied science, computer science, or a related technical discipline. Active Top Secret security clearance. Experience integrating and testing radio communication systems across hardware and software components. Experience analyzing RF or communications test results and preparing technical reports and/or related data products. Experience using RF test and measurement equipment and associated software tools. Knowledge of waveform behavior, RF system performance, and digital signal processing. Experience assessing communications performance in complex RF environments. Ability to travel to support test events. Ability to learn new test, measurement, and analysis methods and apply them to practical engineering work. Experience working in a fast-paced environment supporting work ranging from detailed technical analysis to routine test and team support. Clear written and verbal communication skills. Preferred Qualifications Experience across multiple RF bands. Knowledge of radio data links. Experience with waveform analysis, interference mitigation, or signal-processing applications. Experience using modern engineering analysis tools and workflows. Experience working across multidisciplinary engineering teams. Master's degree in electrical engineering, physics, mathematics, or a related field. Why XSITE LLC? Best-in-Class Benefits & Work-Life Balance Industry-leading PTO package, starting at 15+ days annually. Seven (7) paid company holidays annually, including New Year's Day, Memorial Day, Independence Day, Labor Day, Veterans Day, Thanksgiving Day, and Christmas Day. 100% employer-paid employee coverage for Medical, Dental, Vision, and Basic Life Insurance. Employees enrolled in our High-Deductible Health Plan (HDHP) are eligible for a Health Savings Account (HSA) with monthly employer contributions. Eligibility to participate in XSITE's 401(k) retirement plan with up to a 6% employer match. Eligibility to receive tuition reimbursement of up to $5,250 per year for job-related education. University of San Diego education benefits, including a 10% tuition discount on select online degree programs and a 25% discount on certificate programs. Cell phone stipend. Hybrid work environment, where contract and mission requirements permit. Additional employee benefits offered through ADP. Stability & Long-Term Growth Prime contract holder supporting long-term Department of Defense programs. Mentor-Protégé Joint Venture partnership with a major defense company. Opportunities to support complex, mission-focused engineering efforts across multiple technical domains. Continued organizational growth creating opportunities for employees to expand their responsibilities and technical experience. Career Advancement Work alongside experienced engineers, technical leaders, and program professionals across multiple disciplines. Opportunities to broaden technical expertise through hands-on integration, test, modeling, analysis, and systems engineering work. Exposure to advanced defense technologies and mission-critical programs. Opportunities for increased responsibility as XSITE and its customer programs continue to grow. Support for professional development through job-related education, training, and continuing learning opportunities. About XSITE LLC XSITE LLC is a Service-Disabled Veteran-Owned Small Business providing systems engineering, integration, modeling and simulation, software development, cybersecurity, and technical services to Department of Defense customers. Our team supports complex mission environments by combining practical engineering experience, technical innovation, and a commitment to delivering solutions that meet real-world operational needs. XSITE LLC is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected by applicable law.
09/13/2026
Full time
Job Description Job Description Position: RF Systems Engineer II - Test & Communications Program/Support Area: TacAir RIL Location: San Diego, CA Level: Mid to Senior Telework: TBD - role requires laboratory and controlled test environment support Travel: As needed to support test events and evaluation activities Salary: $111,000-$141,000 XSITE LLC is seeking an RF Systems Engineer II - Test & Communications to join our team full-time in support of TacAir RIL engineering, integration, and test activities . This opportunity is well suited for an RF Communications Engineer, RF Test Engineer, or Systems Engineer with experience integrating, testing, and assessing radio communication systems across hardware and software components. The role will focus on RF and waveform behavior, communications performance, systems-level technical analysis, and test execution in laboratory and controlled test environments. We are a Service-Disabled Veteran-Owned Small Business headquartered in San Diego. We provide full-spectrum systems and systems-of-systems engineering and integration services and solutions for space, C5ISR, cyber, and enterprise information systems. Our core capabilities include AI/ML, Software Development & Sustainment, Systems Engineering (including MBSE), and Modeling & Simulation. Responsibilities Integrate, test, and assess radio communication systems across hardware and software components. Conduct RF- and waveform-focused testing in laboratory and controlled test environments. Analyze test results to identify system behavior, performance limits, and RF stress points. Evaluate communications performance under complex RF conditions. Use RF test and measurement equipment and supporting software tools to collect and interpret data. Improve test approaches, analysis methods, and technical products where beneficial to the effort. Prepare clear technical reports, summaries, and supporting engineering data products. Collaborate across engineering disciplines to support integrated system evaluations. Support day-to-day laboratory activities, integration efforts, and test events to keep technical work on track. Travel as needed to support test events and evaluation activities. Required Qualifications Bachelor of Science degree from an accredited college or university in electrical engineering, computer engineering, physics, mathematics, applied science, computer science, or a related technical discipline. Active Top Secret security clearance. Experience integrating and testing radio communication systems across hardware and software components. Experience analyzing RF or communications test results and preparing technical reports and/or related data products. Experience using RF test and measurement equipment and associated software tools. Knowledge of waveform behavior, RF system performance, and digital signal processing. Experience assessing communications performance in complex RF environments. Ability to travel to support test events. Ability to learn new test, measurement, and analysis methods and apply them to practical engineering work. Experience working in a fast-paced environment supporting work ranging from detailed technical analysis to routine test and team support. Clear written and verbal communication skills. Preferred Qualifications Experience across multiple RF bands. Knowledge of radio data links. Experience with waveform analysis, interference mitigation, or signal-processing applications. Experience using modern engineering analysis tools and workflows. Experience working across multidisciplinary engineering teams. Master's degree in electrical engineering, physics, mathematics, or a related field. Why XSITE LLC? Best-in-Class Benefits & Work-Life Balance Industry-leading PTO package, starting at 15+ days annually. Seven (7) paid company holidays annually, including New Year's Day, Memorial Day, Independence Day, Labor Day, Veterans Day, Thanksgiving Day, and Christmas Day. 100% employer-paid employee coverage for Medical, Dental, Vision, and Basic Life Insurance. Employees enrolled in our High-Deductible Health Plan (HDHP) are eligible for a Health Savings Account (HSA) with monthly employer contributions. Eligibility to participate in XSITE's 401(k) retirement plan with up to a 6% employer match. Eligibility to receive tuition reimbursement of up to $5,250 per year for job-related education. University of San Diego education benefits, including a 10% tuition discount on select online degree programs and a 25% discount on certificate programs. Cell phone stipend. Hybrid work environment, where contract and mission requirements permit. Additional employee benefits offered through ADP. Stability & Long-Term Growth Prime contract holder supporting long-term Department of Defense programs. Mentor-Protégé Joint Venture partnership with a major defense company. Opportunities to support complex, mission-focused engineering efforts across multiple technical domains. Continued organizational growth creating opportunities for employees to expand their responsibilities and technical experience. Career Advancement Work alongside experienced engineers, technical leaders, and program professionals across multiple disciplines. Opportunities to broaden technical expertise through hands-on integration, test, modeling, analysis, and systems engineering work. Exposure to advanced defense technologies and mission-critical programs. Opportunities for increased responsibility as XSITE and its customer programs continue to grow. Support for professional development through job-related education, training, and continuing learning opportunities. About XSITE LLC XSITE LLC is a Service-Disabled Veteran-Owned Small Business providing systems engineering, integration, modeling and simulation, software development, cybersecurity, and technical services to Department of Defense customers. Our team supports complex mission environments by combining practical engineering experience, technical innovation, and a commitment to delivering solutions that meet real-world operational needs. XSITE LLC is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other characteristic protected by applicable law.
GXM Technologies LLC seeks a Senior Digital Engineer specializing in MBSE and Data Science to support mission-critical defense and intelligence programs. In this role, you will architect and maintain SysML-based models, integrate geospatial, C4ISR, AI/ML, and cyber capabilities, and build advanced analytics to inform complex system decisions. You will collaborate with cross-functional teams, drive digital engineering best practices, mentor junior staff, and contribute to R&D efforts, delivering secure, scalable solutions that directly support U.S. national security objectives. Responsibilities Lead development of MBSE models to support complex defense and intelligence systems Design and implement data science and analytics solutions for mission-focused applications Integrate geospatial, C4 ISR, AI/ML, and cyber capabilities into digital engineering workflows Collaborate with cross-functional teams to define system architecture and requirements Develop prototypes and tools to support advanced R&D and systems integration Ensure model traceability, verification, and validation across the system lifecycle Optimize data pipelines, feature engineering, and model performance for production use Document designs, analyses, and technical decisions for stakeholders and customers Mentor junior engineers and data scientists in MBSE and analytics best practices Support proposal efforts and technical presentations to government clients Required Skills Model-Based Systems Engineering (MBSE) Sys ML or similar modeling languages Systems architecture and requirements engineering Data science and statistical analysis Python or similar programming languages Machine learning frameworks (e.g., Tensor Flow, Py Torch, scikit-learn) Geospatial data and tools (e.g., GIS, geospatial libraries) C4 ISR or defense/intelligence systems domain knowledge Data pipeline and ETL development Cloud or containerized environments for analytics
09/11/2026
Full time
GXM Technologies LLC seeks a Senior Digital Engineer specializing in MBSE and Data Science to support mission-critical defense and intelligence programs. In this role, you will architect and maintain SysML-based models, integrate geospatial, C4ISR, AI/ML, and cyber capabilities, and build advanced analytics to inform complex system decisions. You will collaborate with cross-functional teams, drive digital engineering best practices, mentor junior staff, and contribute to R&D efforts, delivering secure, scalable solutions that directly support U.S. national security objectives. Responsibilities Lead development of MBSE models to support complex defense and intelligence systems Design and implement data science and analytics solutions for mission-focused applications Integrate geospatial, C4 ISR, AI/ML, and cyber capabilities into digital engineering workflows Collaborate with cross-functional teams to define system architecture and requirements Develop prototypes and tools to support advanced R&D and systems integration Ensure model traceability, verification, and validation across the system lifecycle Optimize data pipelines, feature engineering, and model performance for production use Document designs, analyses, and technical decisions for stakeholders and customers Mentor junior engineers and data scientists in MBSE and analytics best practices Support proposal efforts and technical presentations to government clients Required Skills Model-Based Systems Engineering (MBSE) Sys ML or similar modeling languages Systems architecture and requirements engineering Data science and statistical analysis Python or similar programming languages Machine learning frameworks (e.g., Tensor Flow, Py Torch, scikit-learn) Geospatial data and tools (e.g., GIS, geospatial libraries) C4 ISR or defense/intelligence systems domain knowledge Data pipeline and ETL development Cloud or containerized environments for analytics
