22 jobs found

Job Description Job Description Description: GXM Technologies is seeking a Senior Agile Program Integration Lead to support advanced defense and space mission programs requiring disciplined Agile execution, complex systems integration, and enterprise-level delivery synchronization. This role provides senior leadership across multiple technical teams and workstreams, using hands-on Scaled Agile Framework (SAFe) practices to align planning, technical integration, MVP releases, operational milestones, and Initial Operational Capability (IOC) objectives. The ideal candidate combines hands-on SAFe execution with technical program integration, systems engineering awareness, release management, and operational mission delivery. This individual will work with Program Managers, Product and Solution Management, engineers, DevSecOps teams, architects, cybersecurity personnel, test organizations, and Government stakeholders to translate priorities into executable Program Increments and synchronized delivery plans. This role is onsite in Colorado Springs, CO due to operational integration and classified mission requirements. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the senior Agile program integration lead, providing hands-on SAFe execution leadership across multiple technical teams, Agile Release Trains (ARTs), and integrated workstreams. Apply SAFe practices to synchronize systems engineering, software, cloud, cybersecurity, data, DevSecOps, integration, test, and operational mission teams against shared program objectives. Lead and facilitate SAFe planning and synchronization activities, including: Program Increment (PI) Planning and PI execution; ART Sync, Scrum of Scrums, and cross-team coordination; System Demos and Inspect & Adapt events ; Dependency, impediment, and ROAM risk management; MVP, capability release, and integration coordination; Operational milestone and IOC readiness alignment Configure and manage Jira, Confluence, and enterprise Agile planning tools to maintain program backlogs, PI objectives, capabilities and features, dependencies, risks, roadmaps, release plans, and delivery visibility. Develop and maintain integrated roadmaps, delivery schedules, release plans, and milestone artifacts that align SAFe PI cadence and team commitments with the Integrated Master Schedule (IMS), technical baselines, operational events, and IOC objectives. Facilitate cross-team synchronization, decision-making, and issue resolution across technical teams, mission stakeholders, engineering organizations, Government leadership, and delivery partners. Provide hands-on leadership for Agile ceremonies and program-level events, ensuring decisions, dependencies, risks, actions, and commitments are documented and driven to closure. Monitor PI objectives, delivery predictability, flow metrics, risks, dependencies, constraints, and operational impacts; lead mitigation, escalation, and corrective action when delivery is at risk. Provide program leadership with actionable metrics, Jira dashboards, roadmap reporting, PI status, milestone health, dependency visibility, risk trends, and executive-level reporting. Collaborate with Program Managers, Enterprise Architects, Chief Engineers, Product and Solution Management, Technical Leads, cybersecurity teams, and mission stakeholders to align Agile execution with engineering and operational requirements. Drive continuous improvement of SAFe, Lean-Agile, DevSecOps, and delivery management practices appropriate to classified and mission-critical environments. Coordinate configuration management, knowledge management, and documentation alignment so program baselines, Agile artifacts, technical decisions, release content, and delivery evidence remain current and traceable. Lead transition planning, release coordination, capability deployment, and readiness synchronization aligned to mission events, MVP demonstrations, and IOC objectives. Requirements: U.S. Citizen with active TS/SCI clearance. Bachelor's degree in engineering, computer science, information systems, business, program management, or a related discipline; equivalent relevant experience may be considered. 8+ years of experience in Agile delivery, technical program integration, systems integration, release management, software-intensive programs, or operational program execution, including senior responsibility for cross-team delivery. Demonstrated hands-on experience implementing and executing the Scaled Agile Framework (SAFe) in a complex, multi-team technical environment; certification or classroom knowledge alone is not sufficient. Demonstrated experience leading or directly facilitating SAFe program-level activities, including: PI Planning, PI execution, and PI objective management; ART Sync, Scrum of Scrums, and dependency coordination; System Demos, Inspect & Adapt, and continuous improvement activities; ROAM risk management, impediment escalation, and cross-team issue resolution; Release planning, capability synchronization, and enterprise delivery visibility Strong hands-on experience using Jira and Confluence to configure workflows, dashboards, roadmaps, backlogs, dependencies, reporting, and program-level delivery views supporting SAFe execution. Applied knowledge of SAFe Lean-Agile principles, ART execution, backlog hierarchy, capabilities and features, WSJF or comparable prioritization, flow metrics, and value delivery. Working knowledge of systems integration, systems engineering, software development, cloud, cybersecurity, DevSecOps, CI/CD, test, and operational mission environments. Experience coordinating cross-functional and multi-organizational technical teams where execution depends on influence, integration, and stakeholder alignment rather than direct authority. Strong understanding of dependency management, release coordination, schedule integration, milestone tracking, delivery synchronization, execution risk, and alignment between Agile plans and program schedules. Strong analytical, organizational, facilitation, leadership, communication, and stakeholder management skills in classified, mission-critical, fast-paced environments. Desired Qualifications Experience supporting operational Command and Control (C2), space mission systems, mission systems integration, or cloud-native operational environments within DoD or the Intelligence Community. Experience with Jira Advanced Roadmaps, Jira Align, Structure, BigPicture, Tempo, or equivalent enterprise Agile planning and portfolio management tools. Experience serving as a Release Train Engineer (RTE), Senior Scrum Master, Agile Program Lead, or comparable SAFe program-level integration role supporting one or more ARTs. Experience integrating SAFe execution with DevSecOps pipelines, CI/CD, software factories, cloud-native delivery, systems engineering, and operational integration. Experience supporting operational readiness reviews, MVP releases, system demonstrations, mission rehearsals, operational acceptance, or IOC demonstrations. SAFe Release Train Engineer (RTE), SAFe Agilist, SAFe Scrum Master, SAFe Practice Consultant (SPC), PMP, PMI-ACP, or equivalent certification preferred. Experience supporting executive-level reporting, Government stakeholders, U.S. Space Force or Space Systems Command organizations, or multi-contractor defense programs preferred. $150,000-$210,000 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, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law, meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements.? PI4257d1a85bce-6984

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

Description Brinks Home is a leader in the smart security industry, protecting over one million people across the U.S., Canada, and Puerto Rico. Our platinum-grade protection is backed by award-winning customer service and expertly trained professionals. We strive for the highest standards for our customers while fostering a positive work environment for our employees. We create a culture that fosters innovation, celebrates creativity, and encourages authenticity. Join us and be part of a collaborative team that is relentless in our pursuit of security for life. Position Overview: We are currently seeking a seasoned, results-driven Technical Product Owner who embodies our core values: Service, Accountability, Customer Focus, Growth, and Integrity. This role will lead the strategy, development, and optimization of our sales and field service experiences across mobile and web - the tools our field technicians rely on to install, activate, and service equipment in customers' homes every day. You will ensure our products deliver exceptional value to users, with a focus on usability, performance, and innovation. You will operate as the Product Owner on a Scrum team within a SAFe environment, working shoulder-to-shoulder with Field Operations, Engineering, and Sales, and using AI to work faster and smarter across the entire product lifecycle. As a senior individual contributor, you will set direction in ambiguous problem spaces with minimal oversight, influence without authority, and raise the bar for product practice across the team. Key Responsibilities: Own and manage the mobile and web product backlog, equipment inventory capabilities, and scheduling and dispatch capabilities. Prioritize features that enhance the user experience across both platforms. Define clear user stories, acceptance criteria, and success metrics with instrumentation defined up front, then use experimentation - A/B tests, feature flags, and phased rollouts - and post-release data to measure adoption and iterate. Collaborate with UX/UI designers to ensure intuitive, responsive, and accessible mobile and web interfaces. Advocate for mobile-first, responsive design principles across the organization and stay current on mobile and web trends, technologies, and best practices. Partner with Field Operations leadership and field technicians to translate equipment job installation, activation, and service workflows into clear product requirements. Own and communicate the product roadmap for your area, sequencing releases against business outcomes, keeping stakeholders current on status and expectations, and making trade-offs visible to leadership. Identify, pilot, and champion AI tools that accelerate discovery, backlog refinement, documentation, and day-to-day team productivity. Define requirements for AI-enabled product features such as guided troubleshooting, intelligent scheduling, and automated job verification - including data quality, human-in-the-loop review, and responsible-AI guardrails. Serve as Product Owner on a Scrum team operating within a SAFe cadence - PI planning, backlog refinement, iteration planning, reviews, and system demos. Manage cross-team dependencies and integration requirements across CRM, dispatch and scheduling, billing, e-signature, order management and inventory, and device telemetry systems. Partner with developers across the full software development lifecycle, from discovery through release - technical feasibility, timely delivery, QA, UAT, and deployment readiness. Define non-functional requirements with engineering - performance, offline and low-connectivity resilience, security, accessibility, and data-privacy compliance. Drive alignment across Field Ops, Sales, Engineering, QA, Training, and Customer Care in a fast-paced, cross-functional environment. Own release readiness and adoption: release notes, field enablement and training content, pilot and rollout plans, and post-launch issue triage with engineering. Required Qualifications: 7+ years of experience as a Product Owner, with a strong focus on mobile and web applications, including at least 3 years owning a technical product alongside an engineering team. 5+ years of experience with SAFe Agile methodology and Jira. AI-savvy - strong understanding of AI/ML for identifying opportunities, requirements, and design aligned with business goals, plus practical use of AI in day-to-day work to maximize individual and team productivity. Hands-on experience as a Product Owner on a Scrum team, including representing a product area across multiple PI planning cycles; SAFe (Scaled Agile Framework) experience strongly preferred. Command of the software development lifecycle and its supporting functions, including QA, release management, DevOps, documentation, and training. Strong requirements craft - user story mapping, process and workflow mapping, clear written specifications, and testable acceptance criteria. Proven track record of delivering successful, high-usage mobile (iOS and/or Android) and web applications from concept through multiple release cycles. Data fluency - comfortable querying data or working in BI dashboards, and using funnel, cohort, and adoption analysis to size opportunities and defend decisions. Ability to operate autonomously - setting direction in ambiguity, making defensible trade-off decisions, and driving outcomes end to end. Excellent communication, stakeholder management, and problem-solving skills, with the ability to communicate effectively across all levels of operations and users. Proven ability to thrive on fast-paced, cross-functional teams with competing priorities and shifting requirements. Preferred Qualifications: Experience within the home security industry and/or a field operations dispatch. Working knowledge of scheduling capabilities and inventory management. Experience with A/B testing and product analytics across mobile and web. Proficiency with backlog management, documentation, and design collaboration tooling. Experience mentoring or coaching less-experienced product owners and analysts, and influencing senior stakeholders without formal authority. Negotiation and conflict-resolution skills, with the ability to reconcile competing stakeholder priorities and hold a defensible "no." Executive storytelling - distilling complex technical and operational detail into concise written and verbal narratives for senior leadership. Customer and technician empathy, intellectual curiosity, and the adaptability to stay effective as priorities and requirements shift. Ability to manage multiple concurrent product initiatives without losing momentum on any of them. Benefits: Brinks Home recognizes the value of benefits for you and your family, so we offer a comprehensive and competitive benefits program: Medical, Dental, Vision, 401(k) with Employer Match, Paid Time Off & Paid Holidays, HSA/FSA, Life & AD&D Insurance, Disability Coverage, Maternity/Parental Leave, Mental & Physical Health Benefits, Employee Resource Groups, Volunteer Hours, Discounted Equipment & Monitoring, and Employee Referral Program To learn more about our company culture and career opportunities, please visit our LinkedIn and Career Page . Brinks Home provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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 Company Overview Astera Neuro seeks to understand and engineer consciousness. We believe consciousness is the process by which the brain builds a coherent internal model of the world and the self. We aim to understand this model and to develop the technologies to write experience directly into the brain. By combining large-scale neural recording, causal perturbation, and brain-based AI, we seek to move neuroscience from observing correlates of experience to engineering it. The same tools carry direct therapeutic promise for neurological and psychiatric diseases that alter perception, thought, and sense of self. Because the science and tools required do not yet exist, we are assembling a founding team of neuroscientists, theorists, and engineers to create them. We do high-risk, high-reward science in a well-resourced, collaborative environment with competitive pay, and share everything openly under Astera's Open Science Policy. Position Summary Working closely with our experimental, surgical, and software teams, probe engineers here design and build the recording hardware - the probes, insertion mechanisms, and robotics that determine how much of the brain we can see, and how well. The role spans three tightly coupled problems: the probe (thin, flexible, high-density electrode arrays), the needle (the micro-machined tool that carries a probe past the meninges without damaging it or the tissue), and the robot (the precision system that places many probes quickly, accurately, and repeatedly while avoiding vasculature). You will move fluidly across mechanical design, microfabrication, and control, and you will own hardware from initial concept through benchtop validation and into the recording rig. We are hiring at multiple levels. As an Engineer, you will lead well-defined hardware projects with regular guidance. As a Senior Engineer, you will own hardware lines end-to-end, drive design decisions, and set fabrication and test strategy. As a Principal Engineer, you will define the probe and robotics roadmap, mentor engineers, and shape how mechanical, fabrication, and control work fit together at Astera. We will calibrate scope and title to your experience. What You'll Do Design flexible, high-density neural probes; thin-film polymer arrays (polyimide, Parylene C, or comparable) patterned with hundreds to thousands of microelectrodes, from layout through fabrication and encapsulation. Build probe-to-chip integration and the readout signal chain, bonding high-density electrode arrays to amplifier and acquisition electronics, and developing the low-noise front-end that amplifies, digitizes, and streams microvolt neural signals to the acquisition system. Design insertion needles and needle-pincher mechanisms; micro-machined and electrochemically etched tools that grasp, insert, and release flexible probes at micron-scale placement accuracy. Develop insertion strategies that solve the hard mechanics of putting a flexible thread into soft tissue; managing bending stiffness and buckling, temporarily stiffening the probe for insertion, and mitigating the forces that build up across many closely spaced insertions. Build a precision insertion robot; multi-axis motion, servo and linear-motor drives, and the real-time control that makes placement fast, accurate, and repeatable. Develop machine-vision guidance for the robot; imaging and computer vision that locate targets, guide the needle to them, and avoid surface vasculature during insertion. Build electrode characterization and process pipelines, impedance and electrochemistry (e.g., Pt, PEDOT coatings), yield, and reliability testing that turn a working prototype into a manufacturable part. Who You Are Required: Strong hands-on engineering across mechanical design and prototyping; you move fluently between CAD, the machine shop, and the benchtop. Experience building precision electromechanical or robotic systems (multi-axis motion, servo/linear-motor control, tight tolerance stacks). Familiarity with microfabrication and thin-film processes (photolithography, deposition, etching, cleanroom work), or a demonstrated ability to pick them up fast. Comfort with real-time control and the software that drives hardware (Python plus C/C++ or comparable; embedded, FPGA, or RTOS a plus). Working knowledge of the signal-acquisition chain - how low-level analog signals are amplified, digitized, and acquired - and comfort collaborating with electronics engineers on it. Genuine interest in building instruments for neuroscience, and in the tissue-mechanics constraints that make this problem hard. Preferred/Nice to Have: Flexible/thin-film electrode microfabrication (polyimide, Parylene C, PDMS) and electrode electrochemistry. Micro-machining and electrochemical etching of fine metal tooling (e.g., tungsten, tungsten-rhenium). Low-noise analog/mixed-signal front-end design for recording microvolt-scale signals (amplification, filtering, multiplexing, digitization). High-density interconnect and packaging; bonding fine-pitch electrode arrays to electronics (e.g., flip-chip, wire bonding, ACF, or comparable). Precision motion control, machine vision, or real-time closed-loop robotics. Surgical or medical-device hardware, including sterilization, sterile workflow, and design under regulatory constraints. Neural interfaces, MEMS sensors, or other implantable devices. Contributions to open-source hardware, instrumentation, or scientific-computing projects. Additionally Expected at Senior / Principal Level A track record of taking hardware from concept to working, validated device; owning design tradeoffs, fabrication, and test. Experience making and defending tradeoffs across precision, reliability, manufacturability, and biocompatibility. Comfort working across the stack, from mechanical design and fabrication to control software and system integration. A history of mentoring engineers or leading technical initiatives (Principal level). Education PhD with 3 to 12+ years of experience. Backgrounds in mechanical, electrical, biomedical, or materials engineering, mechatronics, robotics, applied physics, MEMS/microfabrication, or related fields are all welcome. Graduate work or research experience is a plus but not required. We value demonstrated skill and relevant experience above credentials. Compensation The posted salary range is based on location in the Bay Area. The successful candidate will receive a competitive compensation package, commensurate with their experience and location. Benefits summary Why Join Us Astera Neuro is hiring a probe engineer to design the flexible neural probes, insertion needles, and precision robotics that make large-scale recording possible: devices that place thousands of electrodes with micron precision while sparing the tissue around them. If you want to build the physical instrument at the heart of a new neuroscience, let's talk. Astera Neuro provides a comprehensive benefits package and total compensation that is competitive and commensurate with the level of experience and qualifications. We are an equal opportunity employer and value diversity and inclusion! Compensation Range: $200K - $350K

Job Description Job Description Who We Are: Aurelius Systems is a VC backed defense tech startup building autonomous, edge deployed directed energy systems for counter-UAS. We build laser weapons to shoot down drones. We're a small team of engineers, former US military operators, and subject matter experts scaling America's directed energy dominance. The first cost effective, reliable and robust laser weapon system. Our namesake isn't an accident. Marcus Aurelius wrote about doing the work in front of you, every day, without excuses. Henry Ford didn't wait for permission to reinvent manufacturing. That's how we operate - small team, unreasonable output, no hiding behind the unachievable. In addition to our San Francisco lab, we've opened a Detroit manufacturing hub and we field test weekly on our own 400-acre private range. The Role & Your Impact: You'll own the precision motion stack, full stop. The critical gap we're hiring for is a hands-on robotics controls engineer who can iterate fast on real hardware. Someone who can take a model, get it on the hardware, characterize what's actually happening, and tighten the loop. You think in Bode plots and step responses. This is a senior IC role on the controls side. You'll own the architecture and tuning of the precision pointing and tracking control loops, the state estimation behind them, and the closed loop integration with the tracker. What You'll Own: Architecture and tuning of the precision pointing and tracking control loops Closed loop tracking from sensor input through actuator command at hundreds of Hz State estimation across IMU, encoder, and vision based feedback (Kalman filters, complementary filters, sensor fusion) System identification and modeling of the gimbal, mount, and actuator dynamics Actuator tuning, gain scheduling, and compensation for nonlinearities (backlash, friction, saturation) Resonance characterization, notch filtering, and structural compensation Simulation infrastructure for controls development Hardware-in-the-loop test infrastructure for controls validation Field characterization of the system against real targets at the range Author controls documentation and tuning standards What We're Looking For: 4+ years of experience in robotics Strong knowledge of fundamentals: classical controls, state space, LQR, MPC Proven simulation experience and a track record of managing the sim-to-real gap on actual hardware Modern C++ for real time control implementation Python or MATLAB/Simulink for modeling, system ID, and analysis State estimation in practice (Kalman, EKF, UKF, complementary filters) System identification and frequency domain tuning Direct experience with motion control hardware - servo drives, brushless motors, encoders, IMUs Comfortable working at the seam between mechanical, electrical, and software Understanding of latency, jitter, and how they kill control loop performance Not a fit if: Your controls experience is purely simulation, your real world tuning amounts to changing PID gains in a UI, or you've never had to characterize a resonance, model an actuator, or fight a sensor that lies to you. We need someone who's tuned hardware that fought back. Nice-to-Haves: Advanced MPC - nonlinear MPC, robust MPC, or real-time NMPC on resource constrained hardware Gimbal, beam director, or precision pointing system experience Aerospace, defense, or directed energy controls background Adaptive or robust control implementation in production Vision-in-the-loop control (visual servoing, image-based tracking) Hardware-in-the-loop simulation experience High bandwidth sensor pipelines (cameras, radar, IMUs at high rate) Prior work on a system that had to hit a moving target Education: MS in Mechanical Engineering, Aerospace Engineering, Electrical Engineering, Robotics, or related field is the sweet spot. BS with strong hands-on robotics experience or PhD with a real shipping record both welcome. How You Operate: Extreme bias for action. You'd rather tune on hardware tomorrow than model it for a month Rigorous testing mindset. You characterize your own loops before the field does Comfortable with ambiguity and fast, constantly iterating in a startup environment Your brain only releases dopamine when you're building You debug from first principles Clear communicator across mechanical, electrical, optical, and software teams Self-directed. You identify what needs to happen next and do it without being told Why Join Aurelius Systems? Build more in 1 month than most engineers build in 1 year. We field test weekly. Your work goes downrange, not into a filing cabinet. Career velocity is real. Erick Brito went from Founding Robotics Engineer to Lead in 12 months. At 10 engineers, there are no layers between you and impact, or between you and your next title. Work on a problem that actually matters. Small, cheap drones are changing warfare. Our laser systems are the asymmetric answer. Think infinite magazine, cost-per-shot near zero, scalable to every base, border, facility, truck, and piece of infrastructure. Join the densest defense startup ecosystem in the country. California is where the next generation of defense companies are being built. You'll be in the room with the people reshaping how America builds weapons. How We Work: Core hours are Monday-Friday, 9 to 6. When we're sprinting toward a demo or field test, the team ramps up; nights, weekends, whatever it takes to ship. When the sprint lands, we ramp down. We don't manufacture intensity for show. We go hard when the mission demands it, and we recover when it doesn't. Benefits: Competitive salary + equity United Health Care medical, dental, and vision coverage Flexible 18 days PTO + 5 sick days Travel to field test events and range days Covered daily lunches and office snacks + drinks E-bike / scooter stipend (up to $500) Direct access to leadership and real ownership over your work Export Control Notice: This role requires access to export-controlled information or items that require "U.S. Person" status. As defined by U.S. law, individuals who are any one of the following are considered to be a "U.S. Person": (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3). Don't Check Every Box? Apply anyway. The filter is simple: walk us through a controller you tuned on real hardware where the sim said one thing and reality said another. If you have that story, we want to talk regardless of what your resume says. Compensation Range: $180K - $200K

Job Description Job Description Description: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: The Agentic AI & MCP Specialist will architect, develop, and operationalize next-generation agentic systems powered by advanced LLMs and Model Context Protocol (MCP) frameworks. This role focuses on building intelligent, multi-step, tool-using agents that can autonomously reason, plan, and execute complex workflows across a cloud-based analytics ecosystem. The specialist will design and implement agent orchestration frameworks, integrate model-driven decision logic, and build robust, production-grade agent capabilities that safely leverage emerging AI techniques. This position requires a deeply skilled software developer who combines strong engineering fundamentals with hands-on experience creating agentic systems, working with MCP-based integrations, designing LLM-driven tools, and building secure, scalable AI applications. The role provides technical leadership, explores cutting-edge agentic patterns, drives proof-of-concept innovation, and partners with engineering and product teams to translate experimental architectures into real-world impact. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Bachelor's Degree and 10+ years of software engineering experience Experience designing, developing, and supporting production applications, platforms, or services. Experience developing agentic AI solutions, including planning, tool utilization, workflow orchestration, multi-step reasoning, or autonomous task execution. Experience designing and implementing Model Context Protocol (MCP) integrations, tool interfaces, or model-driven service architectures. Ability to analyze business, customer, or mission requirements and develop scalable AI-driven solutions that align with technical and operational objectives. Experience with large language model (LLM) development practices, including fine-tuning, retrieval-augmented generation (RAG), prompt engineering, and agent interaction patterns. Proficiency in Python and experience working with APIs, microservices, distributed computing environments, and cloud-native architectures. Experience deploying and integrating AI agents or LLM-enabled applications within cloud environments such as Azure, AWS, or Google Cloud Platform (GCP). Knowledge of MLOps and LLMOps practices, including model versioning, automated testing, deployment automation, monitoring, performance evaluation, and governance. Ability to contribute to solution design discussions, provide technical guidance to team members, and communicate AI-related concepts to technical and non-technical audiences. Experience using version control systems and CI/CD practices, including source code management, automated testing, deployment pipelines, and release management for production environments. Desired Qualifications: Experience building multi-agent systems, agent swarms, or coordinated reasoning frameworks. Familiarity with advanced tool-calling strategies, including dynamic tool selection, function-call planning, or graph-structured task planners. Experience with structured LLM evaluation methods, agent benchmarking, or test harnesses for autonomous systems. Knowledge of performance optimization techniques for LLMs and agents, including caching, model distillation, model routing, or accelerated inference. Background integrating agentic components with large-scale data or analytics platforms (e.g., Databricks, Snowflake, Spark). Hands-on experience developing innovative POCs or experimental agentic architectures in fast-paced R&D environments. Familiarity with emerging agentic frameworks such as Strands Agents, LangGraph, CrewAI, etc. Exposure to safety-oriented design patterns for autonomous systems, including guardrails, validation layers, or constrained-action frameworks. Experience designing and building secure, compliance-aware systems that handle sensitive data in accordance with HIPAA and federal security standards, including implementation of encryption, access controls, auditability, and governance for protected health information (PHI) within AI/LLM workflows. Working Environment : eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: eSimplicity offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) retirement benefits, paid time off, paid holidays, life and disability insurance, and additional wellness and employee support programs. Eligibility may vary based on employment status and applicable plan terms. Reasonable Accommodation: eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact Human Resources. Equal Employment Opportunity: eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any othe

Seville Services LLC seeks an Assisted Living/Memory Care Associate to support our cloud-based analytics and CRM solutions for senior care clients. You'll configure and maintain assisted living and memory care software modules, troubleshoot technical issues, and train users to optimize workflows. Partnering with product, data, and engineering teams, you'll translate client needs into system improvements, ensure data accuracy and compliance, and contribute to testing and deployment. Join an innovative, collaborative culture with growth, mentorship, and exposure to cutting-edge health-tech projects. Responsibilities Support implementation and configuration of assisted living/memory care software modules Monitor system performance and resolve user-reported technical issues Collaborate with product, data, and QA teams to improve platform usability Train end users and create documentation for software features and workflows Analyze user data and feedback to recommend product enhancements Maintain data quality, security, and compliance within the platform Participate in testing, deployments, and release validation Provide Tier 1-2 application support to internal and external stakeholders Required Skills Saa S application support SQL and data querying CRM platforms Healthcare or senior care software System configuration and administration Technical troubleshooting User training and documentation Data analytics and reporting API and integration basics Quality assurance and UAT

What You Will be Doing: Senior Engineers will lead the planning, design, and development of tools, machines, and accessory products for the HVAC/R markets both for new product introduction and improving on current designs with substantial latitude for unreviewed actions and decisions generally involving the largest and most important work on projects. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Leads other engineers in the design of individual tools and machines including acting as the lead on some projects Evaluates the progress and results of projects they lead Owns the project level goals involving multiple engineers and helps to break down ambiguous tasks into smaller units, establishing clear milestones for progress measurement Mentors Engineer I, II, and IIIs with their projects coaching them through complex issues and problems Provides technical leadership bringing design concepts to production solutions as the subject matter expert in their area Supports department goals by designing test plans and performing testing Provides advanced production line support Develops product specifications for Ritchie Engineering product ideas Supports new production development reporting on work completed at department, new product, and stage gate meetings Transforms initial rough product designs into working production ready documents Updates released production documentation utilizing documented change processes Responsible for interviews, selection, onboarding, time approval, time off calendar management, performance reviews, and addressing performance concerns of up to two direct reports Other duties as assigned including training others on known processes Required: Bachelors degree in Engineering or Computer Science 8 years of progressively demanding experience in embedded firmware and mobile/desktop application development and testing Understanding of the new product development process Ability to effectively communicate technical information to an audience in a presentation setting Knowledge of lean principles Software: Experienced in UWP, Visual C++, C#, VB.NET, ASP.NET Software: Ability to code and test for both Android and iPhone applications Software: Experienced in full product software life cycle from concept to post-launch Proficiency in reading and writing in English Highly organized, self-motivated and can work independently Must be highly self-motivated, work with minimal supervision and be able to perform multiple tasks in a fast-paced environment Strong interpersonal and leadership skills as well as excellent communication skills (both written and oral) with ability to manage multiple priorities. Preferred: Infor ERP experience EPA 608 Certification SolidWorks experience DBWorks or Enterprise PDM experience Software: Experience in Bluetooth, Bluetooth Low Energy, Ethernet, TCP/IP Software: Experience with JIRA Schedule: Enjoy a 4-day work week, 10-hours a day (Monday Thursday Between 6:00am and 6:00pm). Additional hours may be required during busier times

Job Description Job Description We are hiring Sr. Machine Learning Engineer - Hybrid schedule for a Full Time position in Los Angeles or NYC, CA Sr. Machine Learning Engineer About the Role The Senior Machine Learning Engineer is an integral part of the Technology & Information Services team. This role will be responsible for the design, deployment, and optimization of custom workflows using classical machine learning (ML), Natural Language Processing (NLP), and Generative AI techniques to enhance legal and business processes, while designing, building, and optimizing custom machine learning models and workflows to optimize legal and business workflows. This role will be located in our Global Services Office. Please note that this role may be eligible for a flexible working schedule that allows for a hybrid and in-office presence. Responsibilities & Qualifications Other key responsibilities include: Contributing to the entire lifecycle of AI/ML applications including concept, design, test, release, and support Developing and maintaining robust ML pipelines for training, validation, and model deployment Working with DevOps or infrastructure teams to manage GPU resources, model serving frameworks, and CI/CD workflows Evaluating and integrating new research, tools, and frameworks to advance the team s capabilities Developing ML/GenAI solutions in a professional manner, and in accordance with established deliverable schedules and firm procedures Protecting and maintaining any highly sensitive, confidential, privileged, financial, and/or proprietary information that retains We d love to hear from you if you: Demonstrate proficiency with Python including experience with libraries and frameworks relevant to GenAI application development (e.g., LangChain) Exhibit proficiency with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn), and serving tools (e.g., TorchServe, ONNX, Triton) Display proficiency in training or fine-tuning language models (e.g., BERT, Llama2, GPT), and their optimization (LoRA, knowledge distillation, pruning, and quantization) And have: A bachelor s degree and master s degree in information systems, computer science, engineering, data science, or a related field, preferably A minimum of five (5) years of experience in industry roles focused on machine learning, applied AI, or data science A minimum of five (5) years of Python industry experience A minimum of three (3) years of experience working with agile teams Experience building and productizing ML models and systems Estimated Pay Range: 175-195K

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