22 jobs found

Distinguished Engineer Please note: This position is not eligible for current or future visa sponsorship Hybrid: This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. The Distinguished Engineer is responsible for leading the design, development, and deployment of large-scale, production-grade artificial intelligence (AI) systems and platforms that enable enterprise-wide innovation and modernization. How you will make an impact: Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic systems, large language models (LLMs), distributed systems, and event-driven architectures. Define enterprise-wide technical direction, including architecture patterns, integration standards, and reusable platform capabilities. Lead AI-driven modernization of legacy systems through automated code transformation, service decomposition, and continuous optimization. Design and implement AI-enabled software development lifecycle (SDLC) practices to improve engineering velocity and quality. Establish technical standards, governance frameworks, and best practices for AI systems, including monitoring, evaluation, and responsible AI. Partner with engineering teams and stakeholders to enable adoption of AI-assisted development and drive continuous improvement in system performance and productivity. Provide technical leadership and mentorship while influencing enterprise technology decisions through deep expertise and hands-on engineering. Minimum Requirements: Requires a bachelor's degree in information technology, Computer Science, Engineering, or a related field and a minimum of 15 years of experience in software engineering, including experience leading, designing, implementing, and operating distributed systems and large-scale architectures, or any combination of education and experience which would provide an equivalent background. Experience designing, developing, and maintaining software solutions using Python, Java, or comparable object-oriented programming languages also required, as well as experience designing and implementing APIs, microservices, and event-driven architectures, and applying cloud, CI/CD, and DevOps practices. Preferred Skills, Capabilities, and Experiences: For this role, we're seeking a distinguished technical leader who combines enterprise-level strategic thinking, deep business understanding, and exceptional hands-on software engineering capabilities. The ideal candidate must demonstrate a proven track record of personally designing, building, and delivering production-grade solutions while influencing enterprise technology strategy, developing technical talent, and driving measurable business outcomes. AI Expertise and Strategic Thinking: Deep understanding of AI, generative AI, agentic systems, LLMs, intelligent automation, and modern data architectures. Experience designing and operating large-scale agentic or autonomous systems in production. Expertise with: Agent frameworks (LangChain, Semantic Kernel, AutoGen, etc.) Vector databases and retrieval-augmented generation (RAG) LLMOps, evaluation, and monitoring frameworks Experience with multi-agent coordination, planning, and memory architecture. Enterprise Data Architecture and Strategy: Deep expertise in cloud-native enterprise data platforms, lakehouse and analytical architectures, governed data products, data integration, interoperability, metadata management, data quality, lineage, and secure access across complex domains. Semantic, Context, and Knowledge Architecture: Hands-on experience designing semantic and context layers, business vocabularies and metrics, ontologies, knowledge graphs, entity relationships and resolution, and reusable knowledge representations that connect enterprise data to AI. Familiarity with RDF/OWL, SPARQL, SHACL, graph databases, and semantic modeling is highly valued. AI on Enterprise Data and Conversational Analytics: Experience implementing trustworthy natural-language analytics, text-to-SQL with governed semantic definitions, RAG/GraphRAG, semantic retrieval, context engineering, and AI agents that query, reason over, and act on enterprise data. Demonstrated attention to provenance, authorization, evaluation, explainability, and numerical accuracy. Healthcare Data and Decision Intelligence: Ability to apply enterprise data, semantics, analytics, ML, and AI to provider data and analytics, utilization management, prior authorization, clinical interoperability (FHIR/HL7), medical cost management, shift-left payment integrity, value-based care, employer analytics, claims, and care management. Experience connecting clinical, member, provider, benefit, contract, and policy data is especially valuable.

Job Description We are looking for a Test Engineer to join our Pittsburgh (Cheswick) location. Your Responsibilities: You will lead and own the development, implementation, and execution of product testing, test processes, and test facilities. Responsibilities include: support design of test facilities, cost estimation, working with contractors, facility maintenance and upgrades. Salary: $76,200.00 - $127,000.00 per year Please note that the salary range information provided is a general guideline only, reflecting a position based in PA. Criteria such as the candidate's qualifications and relevant experience, the scope of the specific position, as well as market and business considerations will be evaluated when extending an offer. We Take Care of Our People: Paid Time Off I 401K with Employer Match and Profit Sharing I Health and Wellness Benefits I Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I Employee Stock Purchase Plan I Inclusive & Supportive Culture Your Challenge: Development of test plans, specifications, and procedures to support design requirements. Lead the design, implementation, and operation of test facilities. Train and provide technical direction to operations personnel in execution of test programs. Review and analyze test results. Prepare reports and proposals. Provide technical support for all aspects of the division's test facilities and programs. Work on cross-functional teams to identify and resolve issues. Participate as a project team member (development or production order). Understand the customer's requirements for testing the product. Interface effectively with internal customers (project team personnel). Work with and manage outside contractor support of test facilities. What You Bring: Minimum education is a Bachelor of Science Degree/Engineering. 5+ years of experience involved with design, testing, or operation of rotating electrical equipment and/or medium voltage drives. Working knowledge of instrumentation related to vibration, electrical, mechanical, and hydraulic measurements related to product testing. Experience managing outside contractors is preferred. Experience with test facility construction and commissioning is preferred. Ability to read and understand drawings and single line diagrams. Due to DoD requirements, candidates must be US citizens. Must be able to obtain and maintain DOD security clearance. Who we are: Our Values Environmental, Social and Governance EMD a business unit of Curtiss-Wright in Cheswick, PA designs, manufactures, tests, and provides after-market support for the most advanced, proven and reliable critical function pumps, motors, generators, seals, control rod drive mechanisms and power conditioning electronics available anywhere in the world today. Curtiss-Wright EMD has a long-standing and distinguished reputation for the design, development, manufacture, and qualification of critical-function machining solutions for the United States Navy and the commercial nuclear utility industry. No unsolicited agency submittals please. Agency partners must be invited to participate in a search by our Talent Acquisition Team and have signed terms in place prior to any submittal. Resumes submitted directly to any Curtiss-Wright employee or affiliate will not qualify for fee payment, and therefore become the property of Curtiss-Wright. Compliance Statement This position may require exposure to export-controlled information and subject to additional security screening. In the event information provided during the security screening reveals ineligibility to access export-controlled information, any offer of employment may be reconsidered or withdrawn. Curtiss-Wright is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, sexual orientation, gender identity, physical or mental disability, age, ancestry, legally protected medical condition, family care status, marital status, religion, veteran status, national origin, or any other legally protected status. If you require accommodation during the recruitment process, please contact Talent Acquisition. For US Applicants: EEO is The Law - click here for more information. If you require accommodation due to a disability at any time during the recruitment and/or assessment process, please contact Talent Acquisition and we will make all reasonable efforts to accommodate your request.

Job Description Job Description Davidson is distinguished in the aerospace and missile defense industry, in part, because of its excellence in hiring exceptional experts, engineers and software developers dedicated to delivering advanced, intelligent technology solutions in defense of our nation. Davidson is seeking an AI (ML) Engineer in Colorado Springs, CO. This position is an integral part of a fast-paced, innovative program for the Missile Defense Agency (MDA) involving the creation of advanced M&S, Optimization, and AI capabilities in support of the Guam Defense System (GDS). The program works cross-functionally with innovative team members skilled in Modeling & Simulation (M&S), Artificial Intelligence (AI)/Machine Learning (ML), DevSecOps, and Cybersecurity. The ideal candidate will possess a fundamental understanding of AI/ML principles, experience supporting AI/ML projects from conception to deployment, and strong communication skills. As an AI/ML Engineer, you will be responsible for developing AI/ML products directly feeding the AI/ML strategy, communicating AI/ML concepts and results to both technical and non-technical audiences, and collaborating with cross-functional teams to deliver innovative AI-powered solutions. The selected individual must be able to work with little direct supervision, work as an integral member of a product delivery team and meet time critical delivery schedules. Work will be performed at a contractor facility in Colorado Springs, CO and at Schriever SFB. All team members should be able to: Experiment with innovative theories, ideas, and concepts to expand the realm of the possible Self-organize and participate in an Agile development lifecycle Ask questions and build consensus within a cross-functional team Provide design inputs and collaborate to decompose, estimate, and refine backlog requirements Job Responsibilities: Candidate will serve as an AI Engineer for a team creating multiple AI/ML projects and the development and training environment in which they are created. Primary responsibilities include close collaboration with data team members, collaboration with functional SMEs, and developing advanced optimization models for customer product enhancement Train models and algorithms within a software product across a cross-functional team to provide value to our customer Support the full lifecycle of AI/ML projects, from problem definition and data collection to model development, deployment, and monitoring. Design, develop, and implement AI/ML models and algorithms using appropriate tools and techniques. Ensure the quality and accuracy of AI/ML models through rigorous testing and validation. Collaborate with software engineers, network security, and DevOps teams to deploy AI/ML models into production environments. Model performance of AI/ML models in production and identify areas for improvement. Communicate AI/ML concepts and results effectively to both technical and non-technical audiences. Work in close coordination with multiple teams that will use AI/ML products. Work with AI/ML Lead to define problem statements and success metrics for AI/ML products. Job Requirements: Bachelor of Science degree in a STEM (Science, Technology, Engineering, or Math) discipline with 4 to 6+ years of relevant experience, or a Master's degree and 3 years experience. AI Experience Familiarity in a variety of AI/ML techniques, including deep learning, natural language processing, computer vision, and reinforcement learning. Experience with Large Language Models/Generative AI and Prompt Engineering. Also, using LLM/GAI solutions for usage in human-machine teaming for Software Development. Algorithmic understanding of heuristic and black box approaches for optimization, such as Genetic Algorithms, Simulated Annealing, Bayesian Optimization, and Particle Swarm Optimization. Familiarity with ML algorithms, such as Decision Tree, Random Forest, Support Vector Machine, Neural Network, Convolutional Neural Network, Long Short-Term Memory. Experience evaluating models using common AI/ML concepts (e.g. cross-validation, drift monitoring, model cards, bias/fairness testing). Familiarity with response AI/model governance. AI Development Experience Proficient in building optimization models with one of the following languages: Python, C, C++ Understanding of Python's common data stack (NumPy, Pandas, SciPy) Experience with common ML frameworks for Python (scikit-learn, Tensorflow, PyTorch) Development Environment Experience Experience with collaborative programming tools (Git, Gitlab) Familiarity with Linux operating systems. Team Environment and Communication Strong communication and interpersonal skills; including presentation skills. Strong problem-solving and analytical skills. Must be self-motivated, able to work effectively in a dynamic and collaborative team environment. Ability for some limited travel (less than 10% time) to support program meetings. Excellent communication skills Desired Competencies/Experience/Certifications: 5+ years of relevant experience in Operations Research/Machine Learning Demonstrable experience building ML models in Python Experience with data manipulation and ML for big datasets Experience with MLOps tools (Kubeflow, MLflow, DVC) Knowledge of modern application development to include containerization (Docker/K8S) Demonstrable experience applying analytical and programming skills to solve optimization problems Strong algorithmic understanding of classical optimization techniques. (e.g., linear programming, gradient descent). Familiarity with Agile processes/development methodology Familiarity with cloud computing platforms such as AWS, Azure, or GCP. Clearance Requirements: Holds active DoD Secret clearance at time of application and able to obtain Top Secret Security clearance . Job Posted by ApplicantPro

Job Description Job Description Davidson is distinguished in the aerospace and missile defense industry, in part, because of its excellence in hiring exceptional experts, engineers and software developers dedicated to delivering advanced, intelligent technology solutions in defense of our nation. Davidson is seeking a Test Engineer (Data Analyst) in Huntsville, AL to support the Indirect Fire Protection Capability (IFPC) Hardware-in-the-Loop (HWIL) laboratory and associate demonstration events. This role directly enables rapid development of the IFPC system and, in coordination with other demonstration activities, contributes to validating Technology Readiness Level (TRL) 6 for the IFPC system and its subsystems. You will work closely with government stakeholders to plan, execute, and report on HWIL and flight demonstration test events supporting next-generation missile defense capability. Job Responsibilities: Support the design of the HWIL architecture and identify test equipment required to execute HWIL and flight demonstration events. Prepare and deliver individual test plans in accordance with DI-NDTI-80566 for system-level and subsystem-level HWIL demonstrations, including demonstrations involving surrogate hardware, surrogate software, and prototype hardware. Prepare and deliver test procedures in accordance with DI-NDTI-80809 for each test event covered by a Boeing-delivered test plan. Define and document test configurations and run matrices for assigned test events. Execute approved tests in accordance with applicable test plans, procedures, configurations, and run matrices. Document test execution, including run status, deviations, anomalies, and relevant observations. Perform first-order reduction of test data and prepare/deliver test reports in accordance with DI-NDTI-80809 for each applicable test event. Support Hardware and Software Demonstration Test Readiness Reviews (TRRs), with government participation, prior to system-level and subsystem-level HWIL demonstrations, ground hardware/software demonstrations, flight demonstrations, and culminating system HWIL prototype demonstrations. Coordinate with Boeing and applicable government personnel to obtain test requirements, interface information, hardware/software availability, and other inputs needed to prepare for and conduct each event. Document and coordinate with Boeing, prior to implementation, any change to an approved test plan, procedure, configuration, or run matrix that could affect test objectives or results. Job Requirements: Bachelor's degree in Engineering, Physics, Computer Science, or related technical discipline. 3-7 years of experience in test engineering, test and evaluation, or data analysis supporting hardware-in-the-loop, ground test, or flight test programs. Experience developing test plans, test procedures, test configurations, or run matrices for complex system or subsystem-level testing. Experience executing test events and documenting run status, anomalies, deviations, and observations with a high degree of technical rigor. Experience performing data reduction and analysis using tools such as MATLAB, Python, or equivalent. Ability to read and interpret technical requirements, interface documentation, and test data to assess system performance against test objectives. Strong technical writing skills, with the ability to prepare clear, well-organized test plans, procedures, and reports suitable for customer and government review. Ability to coordinate effectively with multiple stakeholders, including prime contractor and government personnel, to plan and execute test events within schedule and resource constraints. Preferred Qualifications: Direct experience in a Hardware-in-the-Loop (HWIL) test laboratory environment, including simulation/stimulation equipment, data acquisition systems, and surrogate or prototype hardware integration. Familiarity with DI-NDTI series data item descriptions or other DoD test documentation standards. Experience supporting Test Readiness Reviews (TRRs) or similar formal review/approval processes. Experience working under a prime contractor (e.g., Boeing) on a DoD test and evaluation task order. Familiarity with flight test or ground demonstration event support in a missile defense or directed-fires context. Proficiency with MS Office Suite (Word, Excel, PowerPoint) for technical documentation and reporting. Clearance Requirements: Currently hold an active DoD Secret Clearance. Job Posted by ApplicantPro

Job Description Job Description About the Company: At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Team SK hynix memory solutions America Inc. (SKHMS America), a subsidiary of SK hynix NAND Product Solutions (D.B.A Solidigm), provides industry-leading controller hardware, advanced flash management systems, and firmware for NAND and post 2D-NAND based storage solutions spanning Enterprise, Client and Mobile market segments. We are part of the world's top tier semiconductor supplier, SK hynix, offering Dynamic Random Access Memory chips (DRAM), Flash memory chips (NAND Flash) and CMOS Image Sensor (CIS) for a wide range of distinguished customers globally. Description We are looking for a driven, team-oriented Senior Signal Integrity Engineer to develop next generation Solid State Drive (SSD) products. This position requires experience in hardware design and signal and power integrity design. A successful candidate will have a good knowledge of state of the art memory device technologies and interfaces such as PCIe Gen 4, 5 and 6, DDR4/5, ONFI NAND and implementation techniques required for high-speed interfaces. This candidate will need to have a good working knowledge of simulation tools, schematic capture tools and lab equipment (scopes, analyzers, etc.). Expertise in design for optimum signal and power integrity as well as hands-on lab measurements experience is a must. Responsibilities Mentoring of engineers. Provide SI/PI expertise for SSD controller package (SoC) substrate design and SSD PCB design. Participate in the design of SSD products which includes: design guidelines, reviewing designs, validation of designs and final reports of work designs. Support PCB back-end process: defining stack-up and HDI via technologies, part placement, setting routing constraints and reviews. Interface with cross functional teams to ensure the design meets all system level requirements through verification/validation in the lab. Work closely with SoC, FW, package, and circuit design engineers. Documentation and communication to design, product and executive teams. Debug and root cause analysis at all product development stages, as well as customer escalations. Minimum Qualifications BS in Electrical Engineering required; MS in Electrical Engineering is a plus. 3-8+ years of relevant working experience. High-speed SSD board designs, pre layout simulation, post layout simulation and design layout guide generation for PCIe Gen4/5/6, DDR4/5, LPDDR4/4x, NVIO and PDN. Strong fundamentals in 3D/2D EM simulation tools and transmission line theory. Required experience of EM field solvers, time and frequency domain simulation tools like Sigrity, Allegro, ADS, HFSS, SIWAVE, and HSPICE. Simulation followed by measurement correlation using Oscilloscope, VNA and TDR equipment. Excellent understanding of PCB design fundamentals: single end and differential signaling, cross talk (near end and far end), signal loss and impedance control. Excellent written and verbal communication. Preferred Qualifications Technical leader experience. Familiar with generating and interpreting data & eye diagrams at PCIe GENx speeds: NRZ, PAM3, PAM4, PAMx. High Frequency pcb low loss board material experience. Experience with flex circuit design for high speed signaling. Familiarity with PCIe operation and DRAM operation for optimizing driver and receiver equalization schemes. Knowledge of IBIS and ability to take common simulation outputs such as S-parameters from various components and determine at the system level that PRD requirements are met. Optimizing PDN and extracting PDN for PSIJ Analysis. Familiar with PCISIG, JEDEC and ONFI specifications and compliance. COMPENSATION : $110,000/yr - $175,000/yr REGARDING COMPENSATION : SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI builds trusted autonomy for national-security space missions. The Chief Engineer, Autonomy - Space Domain is the senior technical authority responsible for defining, delivering, and sustaining autonomy capabilities that convert distributed space, ground, and payload resources into timely, decision-quality data products. This leader owns the technical vision, system architecture, execution rigor, risk posture, verification strategy, and operational readiness of the space-autonomy solution across its lifecycle: concept development, integration, test, launch/commissioning support where applicable, on-orbit operations, software updates, and mission evolution. The role ensures that autonomy performs reliably across multi-constellation and multi-orbit mission environments, supports resilient operation in constrained or contested conditions, and delivers usable information to mission users at operational tempo. This is not a research position. This is a position focused on delivering mission-ready autonomy systems that perform in real-world operational environments. What You'll Do: Serve as the senior technical authority for space-domain autonomy, accountable for mission architecture, software/system design, technical execution, product quality, technical risk, verification evidence, and customer technical confidence. Define and evolve an autonomy architecture that supports end-to-end tasking, collection, processing, exploitation, and dissemination across a heterogeneous space enterprise, including satellites, hosted payloads, ground systems, mission applications, communications networks, cloud/edge compute, and external data sources. Lead the development of automatic and autonomous behaviors for multi-constellation and/or multi-orbit tasking, including prioritization, scheduling, replanning, resource allocation, coordination, conflict resolution, and response to dynamic mission demands. Define technical approaches for autonomously selecting, cueing, configuring, and coordinating collection from all relevant payload classes, as applicable to mission needs, including but not limited to: electro-optical/infrared, AIS, SAR, RF, SIGINT, communications, environmental, navigation, or third-party/partner payload sources. Architect and govern hybrid on-board and off-board processing strategies. Establish decision criteria for where inference, data reduction, fusion, storage, prioritization, and dissemination functions execute, accounting for latency, bandwidth, compute, power, thermal constraints, availability, security, mission priority, and degraded communications. Lead the technical design of advanced exploitation capabilities, including automated triage, sensor fusion, event detection, object/activity characterization, change detection, anomaly detection, provenance, confidence estimation, and analyst-in-the-loop workflows. Own the technical approach for dissemination of mission products: data-format and interface standards, prioritization, routing, timeliness, quality metadata, access control, product traceability, downstream machine-to-machine integration, and human-user delivery. Establish coherent autonomy interfaces among spacecraft buses, payloads, avionics, flight software, communications systems, mission planning systems, ground control, cloud/edge infrastructure, data platforms, and customer mission applications. Drive technical rigor across system requirements, CONOPS, architecture descriptions, interface-control documents, trade studies, test plans, verification matrices, technical performance measures, and technical baselines. Lead autonomy technical readiness for major milestones, including concept and requirements reviews, preliminary and critical design reviews, test-readiness reviews, operational demonstrations, launch-readiness activities where applicable, commissioning, on-orbit operational assessments, and customer acceptance events. Define and execute a verification and validation strategy that combines modeling and simulation, digital engineering, software-in-the-loop, hardware-in-the-loop, payload/ground integration, mission rehearsal, operational test, and-in applicable programs-on-orbit validation. Identify, quantify, and retire autonomy-specific technical risks, including failure or degradation of sensors and payloads; crosslink or ground-link interruption; incomplete, delayed, conflicting, or deceptive data; resource exhaustion; model uncertainty; interface failures; cyber compromise; and unsafe or unexplainable automated action. Partner with product, program, mission operations, security, safety/mission assurance, payload, spacecraft, ground, cloud, and data-engineering leaders to balance mission performance, technical risk, cost, schedule, and customer commitments. Serve as a senior technical counterpart for government customers, mission partners, suppliers, and internal executives. Support capture, proposal technical volumes, demonstrations, mission architecture discussions, technical reviews, and customer acceptance. Build and mentor a high-performing technical organization that may include staff engineers, autonomy developers, mission planners, data/ML engineers, test engineers, and domain experts. Required Qualifications: Bachelor's degree in computer science, aerospace engineering, electrical/computer engineering, systems engineering, applied mathematics, robotics, physics, or a related technical discipline; advanced degree preferred. 12+ years of progressively responsible experience in autonomy, space systems, aerospace, robotics, mission systems, ISR, satellite operations, distributed systems, or comparable complex technical fields. Demonstrated experience as a Chief Engineer, Lead Systems Engineer, Technical Director, Principal/Distinguished Engineer, IPT lead, or equivalent senior technical leader responsible for end-to-end system outcomes. Significant experience designing, developing, integrating, testing, and operationalizing software-intensive mission systems with high reliability, mission assurance, or certifiability requirements. Demonstrated technical depth in several of the following: Autonomous planning, scheduling, optimization, decision-making, and multi-agent or distributed coordination. Space mission planning, spacecraft or payload operations, satellite ground systems, constellation operations, or hosted-payload architectures. Multi-orbit/multi-constellation tasking and resource management. Embedded, edge, ground, cloud, and hybrid compute architectures. On-board data processing, sensor fusion, payload control, and communication-aware autonomy. ISR, remote sensing, RF, EO/IR, SAR, communications, navigation, or other mission-payload processing and exploitation. Data-product generation, provenance, quality assessment, dissemination, APIs, and enterprise mission-data integration. Systems engineering: requirements, CONOPS, architecture, ICDs, trade studies, verification planning, technical reviews, and risk management. Experience leading a multidisciplinary, matrixed engineering organization and influencing technical outcomes across teams without requiring direct reporting control. Strong written and verbal communication skills, including the ability to explain complex technical trade-offs to engineers, executives, government customers, operators, and mission partners. Experience supporting customer-facing technical work, including proposals, solution architecture, test/demonstration planning, and technical reviews. Preferred Qualifications: Experience with national security, defense, intelligence, civil-government, or commercial-space programs. Experience moving mission autonomy from prototype or research environments into sustained operational use. Demonstrated experience with operational test, mission rehearsal, launch preparation, satellite commissioning, or on-orbit anomaly response. Familiarity with safety/mission-assurance methods, cybersecurity engineering, secure software-development practices, and authorization/compliance processes relevant to space or defense systems. Experience establishing a reusable autonomy platform across multiple programs rather than delivering isolated, bespoke solutions. Active TS/SCI clearance, or established eligibility to obtain and maintain it, depending on program requirements. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) . click apply for full job details

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI builds trusted autonomy for national-security space missions. The Chief Engineer, Autonomy - Space Domain is the senior technical authority responsible for defining, delivering, and sustaining autonomy capabilities that convert distributed space, ground, and payload resources into timely, decision-quality data products. This leader owns the technical vision, system architecture, execution rigor, risk posture, verification strategy, and operational readiness of the space-autonomy solution across its lifecycle: concept development, integration, test, launch/commissioning support where applicable, on-orbit operations, software updates, and mission evolution. The role ensures that autonomy performs reliably across multi-constellation and multi-orbit mission environments, supports resilient operation in constrained or contested conditions, and delivers usable information to mission users at operational tempo. This is not a research position. This is a position focused on delivering mission-ready autonomy systems that perform in real-world operational environments. What You'll Do: Serve as the senior technical authority for space-domain autonomy, accountable for mission architecture, software/system design, technical execution, product quality, technical risk, verification evidence, and customer technical confidence. Define and evolve an autonomy architecture that supports end-to-end tasking, collection, processing, exploitation, and dissemination across a heterogeneous space enterprise, including satellites, hosted payloads, ground systems, mission applications, communications networks, cloud/edge compute, and external data sources. Lead the development of automatic and autonomous behaviors for multi-constellation and/or multi-orbit tasking, including prioritization, scheduling, replanning, resource allocation, coordination, conflict resolution, and response to dynamic mission demands. Define technical approaches for autonomously selecting, cueing, configuring, and coordinating collection from all relevant payload classes, as applicable to mission needs, including but not limited to: electro-optical/infrared, AIS, SAR, RF, SIGINT, communications, environmental, navigation, or third-party/partner payload sources. Architect and govern hybrid on-board and off-board processing strategies. Establish decision criteria for where inference, data reduction, fusion, storage, prioritization, and dissemination functions execute, accounting for latency, bandwidth, compute, power, thermal constraints, availability, security, mission priority, and degraded communications. Lead the technical design of advanced exploitation capabilities, including automated triage, sensor fusion, event detection, object/activity characterization, change detection, anomaly detection, provenance, confidence estimation, and analyst-in-the-loop workflows. Own the technical approach for dissemination of mission products: data-format and interface standards, prioritization, routing, timeliness, quality metadata, access control, product traceability, downstream machine-to-machine integration, and human-user delivery. Establish coherent autonomy interfaces among spacecraft buses, payloads, avionics, flight software, communications systems, mission planning systems, ground control, cloud/edge infrastructure, data platforms, and customer mission applications. Drive technical rigor across system requirements, CONOPS, architecture descriptions, interface-control documents, trade studies, test plans, verification matrices, technical performance measures, and technical baselines. Lead autonomy technical readiness for major milestones, including concept and requirements reviews, preliminary and critical design reviews, test-readiness reviews, operational demonstrations, launch-readiness activities where applicable, commissioning, on-orbit operational assessments, and customer acceptance events. Define and execute a verification and validation strategy that combines modeling and simulation, digital engineering, software-in-the-loop, hardware-in-the-loop, payload/ground integration, mission rehearsal, operational test, and-in applicable programs-on-orbit validation. Identify, quantify, and retire autonomy-specific technical risks, including failure or degradation of sensors and payloads; crosslink or ground-link interruption; incomplete, delayed, conflicting, or deceptive data; resource exhaustion; model uncertainty; interface failures; cyber compromise; and unsafe or unexplainable automated action. Partner with product, program, mission operations, security, safety/mission assurance, payload, spacecraft, ground, cloud, and data-engineering leaders to balance mission performance, technical risk, cost, schedule, and customer commitments. Serve as a senior technical counterpart for government customers, mission partners, suppliers, and internal executives. Support capture, proposal technical volumes, demonstrations, mission architecture discussions, technical reviews, and customer acceptance. Build and mentor a high-performing technical organization that may include staff engineers, autonomy developers, mission planners, data/ML engineers, test engineers, and domain experts. Required Qualifications: Bachelor's degree in computer science, aerospace engineering, electrical/computer engineering, systems engineering, applied mathematics, robotics, physics, or a related technical discipline; advanced degree preferred. 12+ years of progressively responsible experience in autonomy, space systems, aerospace, robotics, mission systems, ISR, satellite operations, distributed systems, or comparable complex technical fields. Demonstrated experience as a Chief Engineer, Lead Systems Engineer, Technical Director, Principal/Distinguished Engineer, IPT lead, or equivalent senior technical leader responsible for end-to-end system outcomes. Significant experience designing, developing, integrating, testing, and operationalizing software-intensive mission systems with high reliability, mission assurance, or certifiability requirements. Demonstrated technical depth in several of the following: Autonomous planning, scheduling, optimization, decision-making, and multi-agent or distributed coordination. Space mission planning, spacecraft or payload operations, satellite ground systems, constellation operations, or hosted-payload architectures. Multi-orbit/multi-constellation tasking and resource management. Embedded, edge, ground, cloud, and hybrid compute architectures. On-board data processing, sensor fusion, payload control, and communication-aware autonomy. ISR, remote sensing, RF, EO/IR, SAR, communications, navigation, or other mission-payload processing and exploitation. Data-product generation, provenance, quality assessment, dissemination, APIs, and enterprise mission-data integration. Systems engineering: requirements, CONOPS, architecture, ICDs, trade studies, verification planning, technical reviews, and risk management. Experience leading a multidisciplinary, matrixed engineering organization and influencing technical outcomes across teams without requiring direct reporting control. Strong written and verbal communication skills, including the ability to explain complex technical trade-offs to engineers, executives, government customers, operators, and mission partners. Experience supporting customer-facing technical work, including proposals, solution architecture, test/demonstration planning, and technical reviews. Preferred Qualifications: Experience with national security, defense, intelligence, civil-government, or commercial-space programs. Experience moving mission autonomy from prototype or research environments into sustained operational use. Demonstrated experience with operational test, mission rehearsal, launch preparation, satellite commissioning, or on-orbit anomaly response. Familiarity with safety/mission-assurance methods, cybersecurity engineering, secure software-development practices, and authorization/compliance processes relevant to space or defense systems. Experience establishing a reusable autonomy platform across multiple programs rather than delivering isolated, bespoke solutions. Active TS/SCI clearance, or established eligibility to obtain and maintain it, depending on program requirements. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) . click apply for full job details

Job Description Job Description Join Our Team at Canza Management, a subsidiary of TLTsolutions Role: Chief Engineer Location : Waldorf, MD Who We Are: At TLTsolutions, we specialize in the investment, development, and management of premier hotel and other real estate properties. Our founder, transitioning from a distinguished career in healthcare leadership and consulting, established our firm with a clear mission: to empower individuals and families to build generational wealth through strategic real estate investments. Today, TLTsolutions manages a multi-million dollar portfolio primarily focused on the hospitality industry, dedicated to maximizing profitability and asset value while delivering exceptional guest experiences. Canza Management is the operational arm and property management subsidiary of TLTsolutions, responsible for overseeing and optimizing the performance of our portfolio of premium-branded hotel properties. Our commitment to operational excellence drives every aspect of our business. We employ a hands-on approach, ensuring that we exceed the standards expected by our guests, team members, and investors. Joining TLTsolutions and Canza Management means becoming part of a dynamic team that values professionalism, excellence, and strategic thinking. We empower our employees to take initiative in their roles and further their professional development through our continuous learning, growth, and collaboration culture. Your Role With Us: As Chief Engineer, you are the strategic business leader of the hotel's Engineering Department. Your mission is to maximize the hotel's value and the owner's return on investment by maintaining and protecting the asset's long-term value. The Chief Engineer maintains the property's physical condition, functionality, useful life, and life safety systems at an optimized cost. In this role, you will be responsible for the building, property maintenance and protection, grounds landscaping and maintenance, guest and associate satisfaction, and the financial performance of the department. You will lead the development and implementation of departmental strategies that align with the hotel's brand standards and TLTsolutions' organizational initiatives, ensuring operational excellence and exceptional guest experiences. Key Responsibilities: Maintenance Leadership: Oversee all aspects of the building, property maintenance, groundskeeping, and engineering functions. Establish and execute preventative maintenance programs for guest rooms, public areas, and all mechanical, electrical, and plumbing (MEP) systems to maximize the value of the property. Team Leadership: Train, supervise, and mentor engineers, technicians, and other staff, ensuring the team delivers consistently high-quality work. Guest Satisfaction & North Star Alignment: Collaborate closely with the Cleanliness and property leadership teams to implement strategies that ensure that "no guest checks into a dirty room with broken stuff"-a guiding principle at TLTsolutions and Canza Management. Life Safety: Ensure that all life safety systems are properly installed, regularly inspected, and in full compliance with local, state, and federal safety regulations to protect the well-being of our guests and associates. Maintain a thorough understanding of fire protection, emergency evacuation procedures, and other essential safety protocols. Emergency Response: Serve as the on-call engineer for any emergent maintenance or engineering issues. Licenses & Permits: Manage the renewal and compliance of all necessary licenses, permits, and certifications related to building operations, equipment, and life safety systems. Ensure that the hotel complies with all relevant regulations, preventing any lapses in operational legality. Emergency Response: Serve as the on-call engineer for any emergent maintenance or engineering issues. Vendor & Contract Management: Identify, evaluate, and manage external vendors and contractors for any work that cannot be completed in-house. Review maintenance contracts for cost-effectiveness and alignment with company goals. Compliance: Ensure all engineering practices comply with the latest insurance, local, state, and federal regulations. Operational & Financial Management: Work closely with the General Manager and ownership to manage budgets, control costs, and drive financial success, while maintaining the property's optimal physical condition. Manage maintenance requests through technology platforms to ensure efficient operations. Continuous Improvement: Conduct routine inspections of the property to identify hazards, equipment issues, and areas for improvement. Implement corrective actions immediately to ensure the property runs efficiently. What We're Looking For: Technical Expertise: 5+ years of experience in building maintenance or trade-specific fields (electrical, plumbing, HVAC, carpentry) with relevant certifications (Certified Pool Operator, Fire and Safety, HVACR, OSHA, EPA, Certified Energy Manager). Leadership: Proven experience managing an engineering team, with a focus on developing talent and ensuring consistent, high-quality work. Problem-Solving Skills: Strong critical thinking and troubleshooting abilities, ensuring rapid response to maintenance issues and preventative problem-solving. Compliance Mindset : Thorough knowledge of life safety regulations and the importance of maintaining up-to-date licenses, permits, and certifications to ensure compliance at all times. Detail-Oriented: Attention to detail in maintaining records, managing tools, and ensuring a safe, clean, and well-organized workspace. Physical Requirements: Ability to lift up to 25 lbs., stand for extended periods, and handle tasks requiring physical effort and agility. Why You'll Love Working With Us: Competitive Salary : We offer a competitive salary that reflects your skills, experience, and contributions to our success. Discounted Hotel Rates : Enjoy discounted rates at our partner hotel brands, making personal travel more affordable and enjoyable. PTO and Holiday Benefits: Full-time employees enjoy 1 week of paid time off, plus a floating holiday if they work on any of our 8 core holidays. Part-time employees receive 1.5x their hourly rate for holiday pay, ensuring everyone is rewarded for their dedication during the holidays. Ready to Make a Difference? Join TLTsolutions and Canza Management to contribute to our mission of exceptional hotel investment and management, ensuring unforgettable experiences for our guests, continuous professional growth and development for our employees, and lasting value for our investors. TLTsolutions is an Equal Opportunity Employer. We are committed to fostering a diverse and inclusive work environment that values and celebrates all team members' unique backgrounds, perspectives, and talents. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or other protected characteristics.

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI builds trusted autonomy for national-security space missions. The Chief Engineer, Autonomy - Space Domain is the senior technical authority responsible for defining, delivering, and sustaining autonomy capabilities that convert distributed space, ground, and payload resources into timely, decision-quality data products. This leader owns the technical vision, system architecture, execution rigor, risk posture, verification strategy, and operational readiness of the space-autonomy solution across its lifecycle: concept development, integration, test, launch/commissioning support where applicable, on-orbit operations, software updates, and mission evolution. The role ensures that autonomy performs reliably across multi-constellation and multi-orbit mission environments, supports resilient operation in constrained or contested conditions, and delivers usable information to mission users at operational tempo. This is not a research position. This is a position focused on delivering mission-ready autonomy systems that perform in real-world operational environments. What You'll Do: Serve as the senior technical authority for space-domain autonomy, accountable for mission architecture, software/system design, technical execution, product quality, technical risk, verification evidence, and customer technical confidence. Define and evolve an autonomy architecture that supports end-to-end tasking, collection, processing, exploitation, and dissemination across a heterogeneous space enterprise, including satellites, hosted payloads, ground systems, mission applications, communications networks, cloud/edge compute, and external data sources. Lead the development of automatic and autonomous behaviors for multi-constellation and/or multi-orbit tasking, including prioritization, scheduling, replanning, resource allocation, coordination, conflict resolution, and response to dynamic mission demands. Define technical approaches for autonomously selecting, cueing, configuring, and coordinating collection from all relevant payload classes, as applicable to mission needs, including but not limited to: electro-optical/infrared, AIS, SAR, RF, SIGINT, communications, environmental, navigation, or third-party/partner payload sources. Architect and govern hybrid on-board and off-board processing strategies. Establish decision criteria for where inference, data reduction, fusion, storage, prioritization, and dissemination functions execute, accounting for latency, bandwidth, compute, power, thermal constraints, availability, security, mission priority, and degraded communications. Lead the technical design of advanced exploitation capabilities, including automated triage, sensor fusion, event detection, object/activity characterization, change detection, anomaly detection, provenance, confidence estimation, and analyst-in-the-loop workflows. Own the technical approach for dissemination of mission products: data-format and interface standards, prioritization, routing, timeliness, quality metadata, access control, product traceability, downstream machine-to-machine integration, and human-user delivery. Establish coherent autonomy interfaces among spacecraft buses, payloads, avionics, flight software, communications systems, mission planning systems, ground control, cloud/edge infrastructure, data platforms, and customer mission applications. Drive technical rigor across system requirements, CONOPS, architecture descriptions, interface-control documents, trade studies, test plans, verification matrices, technical performance measures, and technical baselines. Lead autonomy technical readiness for major milestones, including concept and requirements reviews, preliminary and critical design reviews, test-readiness reviews, operational demonstrations, launch-readiness activities where applicable, commissioning, on-orbit operational assessments, and customer acceptance events. Define and execute a verification and validation strategy that combines modeling and simulation, digital engineering, software-in-the-loop, hardware-in-the-loop, payload/ground integration, mission rehearsal, operational test, and-in applicable programs-on-orbit validation. Identify, quantify, and retire autonomy-specific technical risks, including failure or degradation of sensors and payloads; crosslink or ground-link interruption; incomplete, delayed, conflicting, or deceptive data; resource exhaustion; model uncertainty; interface failures; cyber compromise; and unsafe or unexplainable automated action. Partner with product, program, mission operations, security, safety/mission assurance, payload, spacecraft, ground, cloud, and data-engineering leaders to balance mission performance, technical risk, cost, schedule, and customer commitments. Serve as a senior technical counterpart for government customers, mission partners, suppliers, and internal executives. Support capture, proposal technical volumes, demonstrations, mission architecture discussions, technical reviews, and customer acceptance. Build and mentor a high-performing technical organization that may include staff engineers, autonomy developers, mission planners, data/ML engineers, test engineers, and domain experts. Required Qualifications: Bachelor's degree in computer science, aerospace engineering, electrical/computer engineering, systems engineering, applied mathematics, robotics, physics, or a related technical discipline; advanced degree preferred. 12+ years of progressively responsible experience in autonomy, space systems, aerospace, robotics, mission systems, ISR, satellite operations, distributed systems, or comparable complex technical fields. Demonstrated experience as a Chief Engineer, Lead Systems Engineer, Technical Director, Principal/Distinguished Engineer, IPT lead, or equivalent senior technical leader responsible for end-to-end system outcomes. Significant experience designing, developing, integrating, testing, and operationalizing software-intensive mission systems with high reliability, mission assurance, or certifiability requirements. Demonstrated technical depth in several of the following: Autonomous planning, scheduling, optimization, decision-making, and multi-agent or distributed coordination. Space mission planning, spacecraft or payload operations, satellite ground systems, constellation operations, or hosted-payload architectures. Multi-orbit/multi-constellation tasking and resource management. Embedded, edge, ground, cloud, and hybrid compute architectures. On-board data processing, sensor fusion, payload control, and communication-aware autonomy. ISR, remote sensing, RF, EO/IR, SAR, communications, navigation, or other mission-payload processing and exploitation. Data-product generation, provenance, quality assessment, dissemination, APIs, and enterprise mission-data integration. Systems engineering: requirements, CONOPS, architecture, ICDs, trade studies, verification planning, technical reviews, and risk management. Experience leading a multidisciplinary, matrixed engineering organization and influencing technical outcomes across teams without requiring direct reporting control. Strong written and verbal communication skills, including the ability to explain complex technical trade-offs to engineers, executives, government customers, operators, and mission partners. Experience supporting customer-facing technical work, including proposals, solution architecture, test/demonstration planning, and technical reviews. Preferred Qualifications: Experience with national security, defense, intelligence, civil-government, or commercial-space programs. Experience moving mission autonomy from prototype or research environments into sustained operational use. Demonstrated experience with operational test, mission rehearsal, launch preparation, satellite commissioning, or on-orbit anomaly response. Familiarity with safety/mission-assurance methods, cybersecurity engineering, secure software-development practices, and authorization/compliance processes relevant to space or defense systems. Experience establishing a reusable autonomy platform across multiple programs rather than delivering isolated, bespoke solutions. Active TS/SCI clearance, or established eligibility to obtain and maintain it, depending on program requirements. Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) . click apply for full job details

Job Description Job Description About the Opportunity: Step into an influential role as a QC Lead/CMM Programmer with our client-a distinguished name in precision-machined components for the aerospace industry. Known for innovation and integrity, they pride themselves on delivering high-quality, close-tolerance components. Join them to drive quality control and be a key player in a fast-paced, high-mix prototyping environment. Elevate your career in a role where your passion and expertise will shape the future of aerospace manufacturing. Responsibilities Program and operate a Zeiss Coordinate Measuring Machine (CMM) for dimensional inspections. Manage QC department priorities and workflow to maximize efficiency. Lead, assign, and oversee QC Inspectors to ensure quality standards are met. Perform detailed manual inspections using surface plates, height gages, micrometers, and other precision tools. Serve as the final authority on escalated inspection and quality issues. Independently verify CMM results through manual measurements and resolve discrepancies. Conduct First Article Inspections in accordance with AS9102 standards. Use High QA software for inspection planning and documentation. Collaborate with machinists and production teams to maintain efficient part flow. Maintain accurate inspection records and support quality audits. Identify and implement continuous improvements to inspection processes and quality assurance methods. Requirements 5-10+ years of mechanical quality-control inspection experience in precision CNC machining. Proven experience programming and operating CMM equipment. Strong proficiency in manual inspection techniques. Advanced knowledge of GD&T and engineering drawing interpretation. Ability to independently resolve measurement discrepancies and make final quality decisions. Familiarity with AS9102 First Article Inspection requirements and AS9100/ISO 9001 environments. Experience leading and prioritizing work for a QC team. Strong organizational, communication, and decision-making skills. Preferred Qualifications Experience inspecting aerospace components. Experience with Zeiss CMM programming, particularly Zeiss Calypso. Familiarity with Mitutoyo optical comparators, Starrett vision systems, and High QA software. Machines & Technologies Zeiss Coordinate Measuring Machine (CMM) Mitutoyo Optical Comparator Digital Height Gage Surface Plates and Precision Measurement Gages Benefits & Perks Competitive compensation of $45-$55 per hour, depending on experience. Comprehensive medical and dental insurance. Generous paid time off, holiday pay, and sick leave. Opportunity to make a direct impact in a company committed to quality, integrity, and teamwork. Why Apply Through Total Aviation Staffing? Total Aviation Staffing connects aviation professionals with top-tier opportunities across the industry. Whether you're looking for roles in: Commercial Aviation - Passenger airlines, cargo operations, and aircraft leasing. Business & General Aviation - Corporate jets, charter services, and private aviation. MRO & Aftermarket Services - Aircraft maintenance, repair, overhaul, and parts distribution. Aerospace & Defense - Military aviation, space systems, and defense programs. Aviation Technology & Manufacturing - OEMs, avionics, propulsion, and emerging technologies. Even if this role isn't the perfect fit, applying with us gives you access to multiple career opportunities that may not be publicly advertised. Work with top companies in aviation and aerospace. Get priority access to multiple job openings. Receive expert career guidance from specialized aviation recruiters. Apply today to take the next step in your aviation career. Ref: eq84

Job Description Job Description About the Opportunity: Step into an influential role as a QC Lead/CMM Programmer with our client-a distinguished name in precision-machined components for the aerospace industry. Known for innovation and integrity, they pride themselves on delivering high-quality, close-tolerance components. Join them to drive quality control and be a key player in a fast-paced, high-mix prototyping environment. Elevate your career in a role where your passion and expertise will shape the future of aerospace manufacturing. Responsibilities Program and operate a Zeiss Coordinate Measuring Machine (CMM) for dimensional inspections. Manage QC department priorities and workflow to maximize efficiency. Lead, assign, and oversee QC Inspectors to ensure quality standards are met. Perform detailed manual inspections using surface plates, height gages, micrometers, and other precision tools. Serve as the final authority on escalated inspection and quality issues. Independently verify CMM results through manual measurements and resolve discrepancies. Conduct First Article Inspections in accordance with AS9102 standards. Use High QA software for inspection planning and documentation. Collaborate with machinists and production teams to maintain efficient part flow. Maintain accurate inspection records and support quality audits. Identify and implement continuous improvements to inspection processes and quality assurance methods. Requirements 5-10+ years of mechanical quality-control inspection experience in precision CNC machining. Proven experience programming and operating CMM equipment. Strong proficiency in manual inspection techniques. Advanced knowledge of GD&T and engineering drawing interpretation. Ability to independently resolve measurement discrepancies and make final quality decisions. Familiarity with AS9102 First Article Inspection requirements and AS9100/ISO 9001 environments. Experience leading and prioritizing work for a QC team. Strong organizational, communication, and decision-making skills. Preferred Qualifications Experience inspecting aerospace components. Experience with Zeiss CMM programming, particularly Zeiss Calypso. Familiarity with Mitutoyo optical comparators, Starrett vision systems, and High QA software. Machines & Technologies Zeiss Coordinate Measuring Machine (CMM) Mitutoyo Optical Comparator Digital Height Gage Surface Plates and Precision Measurement Gages Benefits & Perks Competitive compensation of $45-$55 per hour, depending on experience. Comprehensive medical and dental insurance. Generous paid time off, holiday pay, and sick leave. Opportunity to make a direct impact in a company committed to quality, integrity, and teamwork. Why Apply Through Total Aviation Staffing? Total Aviation Staffing connects aviation professionals with top-tier opportunities across the industry. Whether you're looking for roles in: Commercial Aviation - Passenger airlines, cargo operations, and aircraft leasing. Business & General Aviation - Corporate jets, charter services, and private aviation. MRO & Aftermarket Services - Aircraft maintenance, repair, overhaul, and parts distribution. Aerospace & Defense - Military aviation, space systems, and defense programs. Aviation Technology & Manufacturing - OEMs, avionics, propulsion, and emerging technologies. Even if this role isn't the perfect fit, applying with us gives you access to multiple career opportunities that may not be publicly advertised. Work with top companies in aviation and aerospace. Get priority access to multiple job openings. Receive expert career guidance from specialized aviation recruiters. Apply today to take the next step in your aviation career.

Job Description Job Description Refer a friend: Referral fee program Career Developers Inc., a distinguished staffing and consulting firm, is proud to celebrate 30 years of service excellence. As a GSA Contract holder, we offer comprehensive staffing solutions for both commercial and government sectors nationwide. By selectively partnering with clients who share our values, we ensure productive collaborations that set us apart in the industry. Our dedication to candidates involves managing expectations with precision through business intelligence, thorough interview preparation, transparent communication, and exceptional feedback throughout the process. We are committed to advancing your career and look forward to supporting your professional growth. - Linux Systems Infrastructure Engineers - Multiple Clients Please only apply if you have an intermediate to Senior level background in a large enterprise Linux environment, where you are working down to the kernel layer, in a massive data environment in a low latency environment. I'm expanding my network of Systems Engineers with backgrounds in large-scale Linux infrastructure, cloud platforms, Kubernetes, high-performance computing, GPU environments, and distributed systems. I'm especially interested in connecting with engineers who have worked with complex compute environments, infrastructure automation, large data platforms, advanced networking, research computing, or production-scale systems. Relevant backgrounds may include: • Linux Systems Engineering (down to the Kernal layer) • Cloud Infrastructure • Kubernetes / Container Platforms • HPC and Research Computing • GPU / AI Infrastructure • Distributed Storage • Python or Bash Automation • High-Speed Networking • Infrastructure Reliability • Large-Scale Compute Clusters Locations of interest on site could include the Manhattan NY, Houston TX, Montreal CA, Durham, NC, and Pittsburgh, PA markets . Salary: Open, commensurate with experience. They will pay for extreme stand out talent. If this matches your background, I'd be interested in connecting and learning more about the types of opportunities you would consider.

Job Description Job Description Refer a friend: Referral fee program Career Developers Inc., a distinguished staffing and consulting firm, is proud to celebrate 30 years of service excellence. As a GSA Contract holder, we offer comprehensive staffing solutions for both commercial and government sectors nationwide. By selectively partnering with clients who share our values, we ensure productive collaborations that set us apart in the industry. Our dedication to candidates involves managing expectations with precision through business intelligence, thorough interview preparation, transparent communication, and exceptional feedback throughout the process. We are committed to advancing your career and look forward to supporting your professional growth. - Senior IT Application Security Engineer (SME) DEPARTMENT: Information Technology REPORTS TO: Director, Information Security LOCATION: Hybrid/Reston, VA - 3 days on-site in the office per week (Tues/Wed) SALARY : 150-180K + 7% BonusMust have the following 6-8 years of Application Security experience designing, implementing, and operating security controls within enterprise application environments. Hands-on BIG-IP WAF administration experience , including building WAF policies, configuring protections, tuning rules/policies, troubleshooting issues, reducing false positives, and maintaining WAF controls in a production environment. Hands-on container image security/scanning experience , including reviewing scan results, evaluating vulnerabilities, determining risk and remediation priorities, and working directly with development teams to resolve findings. Experience with a container security/scanning platform. The specific tool is not critical ; experience with platforms such as Prisma Cloud, Wiz, Snyk, or comparable technologies is relevant. Strong web application security knowledge, including OWASP Top 10 vulnerabilities and practical application of security controls. Experience conducting web application security scans, vulnerability assessments, and/or penetration testing. Experience partnering directly with Development and DevOps teams to integrate security into the SDLC and CI/CD pipelines. Experience with authentication and authorization technologies such as OAuth and OpenID . Strong troubleshooting and communication skills, with the ability to explain security risks and remediation requirements to both technical teams and senior IT stakeholders. Responsibilities Administer and enhance enterprise BIG-IP WAF capabilities, including building security policies, tuning rules, investigating false positives, troubleshooting application traffic issues, and maintaining effective web application protections. Design, implement, and operate application security controls across enterprise applications and supporting platforms. Perform container image security scanning and analyze vulnerabilities identified within application and container images. Assess the severity and business risk of container vulnerabilities and partner directly with development teams to prioritize and remediate findings. Work closely with Development and DevOps teams to embed security controls into the SDLC and CI/CD pipelines . Design and operate web application and API security protections, including policy configuration, rule tuning, automation, and ongoing improvement. Identify application security vulnerabilities, conduct risk assessments, and recommend practical mitigation and remediation strategies. Develop and maintain application security policies, standards, procedures, and controls. Develop security monitoring and telemetry for the application stack to improve proactive detection. Conduct technical investigations related to application security incidents and vulnerabilities. Support container security activities including image scanning, vulnerability risk assessments, and runtime security/hardening. Operate and support security technologies across cloud and/or on-premises environments. Troubleshoot security, application, and network-related issues and clearly communicate technical findings and recommended actions. Partner with senior IT stakeholders to interpret application security risks, priorities, and remediation needs. Requirements Bachelor's degree in Information Security, Computer Science, Computer/Electrical Engineering, or a related discipline, and/or equivalent relevant professional experience. 6-8 years of hands-on Application Security experience. Demonstrated production experience administering BIG-IP WAF , particularly building and tuning WAF policies. Demonstrated hands-on experience with container image scanning and vulnerability management . Experience personally reviewing container vulnerabilities and collaborating with developers on remediation-not simply operating or monitoring a scanning tool. Experience with Prisma Cloud, Wiz, Snyk, or another comparable container/application security platform. Specific platform experience is not required if the candidate has strong transferable hands-on experience. Strong understanding of OWASP Top 10 and common web application vulnerabilities. Experience with web application security scanning, vulnerability assessments, and/or penetration testing. Experience securing APIs and working with authentication/authorization technologies such as OAuth and OpenID. Experience integrating security practices and controls into CI/CD and secure software development processes. Experience operating cloud-based and/or on-premises security platforms. Ability to investigate and troubleshoot security and network-related issues using established security methodologies and best practices. Strong communicator who can work effectively with developers, DevOps engineers, operations teams, and senior IT stakeholders. Collaborative and approachable, with the ability to influence remediation and security improvements while maintaining strong cross-functional relationships. Proof of eligibility to work in the United States. 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Job Description Job Description Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit Where you will work: This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: The highest-level individual contributor in the software engineering career framework, providing enterprise technical leadership across portfolios, products, platforms, and transformation initiatives, with a focus on leading and expanding responsible AI use across the organization. Sets enterprise AI Enablement Platform direction and partnering with Enterprise Architecture and AI Risk governance workgroup. Connects AI technology platform strategy to enterprise needs, risks, and measurable enterprise value. Advances AI-enabled engineering and Agentic AI at scale, building tools and platforms that make AI adoption safe, repeatable, and accessible. Serves as a trusted advisor to senior technology and business leaders and models the behaviors that strengthen Compeer's engineering culture. A typical day: Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development. Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents. Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering. Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance. Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output. Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence. Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps. Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly. The skills and experience we prefer you have: Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience, with extensive experience designing, building, and operating complex, business-critical software, distributed systems, and platforms. Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry. Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes. Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred. Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture. Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence. Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction. Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies. How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay $133,000-$180,000 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.

Job Description Job Description Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit Where you will work: This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: The highest-level individual contributor in the software engineering career framework, providing enterprise technical leadership across portfolios, products, platforms, and transformation initiatives, with a focus on leading and expanding responsible AI use across the organization. Sets enterprise AI Enablement Platform direction and partnering with Enterprise Architecture and AI Risk governance workgroup. Connects AI technology platform strategy to enterprise needs, risks, and measurable enterprise value. Advances AI-enabled engineering and Agentic AI at scale, building tools and platforms that make AI adoption safe, repeatable, and accessible. Serves as a trusted advisor to senior technology and business leaders and models the behaviors that strengthen Compeer's engineering culture. A typical day: Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development. Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents. Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering. Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance. Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output. Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence. Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps. Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly. The skills and experience we prefer you have: Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience, with extensive experience designing, building, and operating complex, business-critical software, distributed systems, and platforms. Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry. Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes. Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred. Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture. Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence. Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction. Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies. How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay $133,000-$180,000 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.

Job Description Job Description Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit Where you will work: This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: The highest-level individual contributor in the software engineering career framework, providing enterprise technical leadership across portfolios, products, platforms, and transformation initiatives, with a focus on leading and expanding responsible AI use across the organization. Sets enterprise AI Enablement Platform direction and partnering with Enterprise Architecture and AI Risk governance workgroup. Connects AI technology platform strategy to enterprise needs, risks, and measurable enterprise value. Advances AI-enabled engineering and Agentic AI at scale, building tools and platforms that make AI adoption safe, repeatable, and accessible. Serves as a trusted advisor to senior technology and business leaders and models the behaviors that strengthen Compeer's engineering culture. A typical day: Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development. Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents. Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering. Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance. Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output. Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence. Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps. Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly. The skills and experience we prefer you have: Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience, with extensive experience designing, building, and operating complex, business-critical software, distributed systems, and platforms. Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry. Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes. Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred. Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture. Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence. Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction. Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies. How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay $133,000-$180,000 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.

Job Description Job Description Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit Where you will work: This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: The highest-level individual contributor in the software engineering career framework, providing enterprise technical leadership across portfolios, products, platforms, and transformation initiatives, with a focus on leading and expanding responsible AI use across the organization. Sets enterprise AI Enablement Platform direction and partnering with Enterprise Architecture and AI Risk governance workgroup. Connects AI technology platform strategy to enterprise needs, risks, and measurable enterprise value. Advances AI-enabled engineering and Agentic AI at scale, building tools and platforms that make AI adoption safe, repeatable, and accessible. Serves as a trusted advisor to senior technology and business leaders and models the behaviors that strengthen Compeer's engineering culture. A typical day: Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development. Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents. Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering. Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance. Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output. Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence. Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps. Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly. The skills and experience we prefer you have: Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience, with extensive experience designing, building, and operating complex, business-critical software, distributed systems, and platforms. Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry. Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes. Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred. Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture. Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence. Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction. Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies. How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay $133,000-$180,000 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.

Job Description Job Description Empowered to live. Inspired to work. Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally. How we support you: Hybrid model - up to 50% work from home Flexible schedules including ample flexibility in the summer months Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match) Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off Learning and development programs Mentorship programs Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.) Professional membership/certification reimbursement and more! Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs. To learn more about Compeer Financial visit Where you will work: This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin. The contributions you will make: The highest-level individual contributor in the software engineering career framework, providing enterprise technical leadership across portfolios, products, platforms, and transformation initiatives, with a focus on leading and expanding responsible AI use across the organization. Sets enterprise AI Enablement Platform direction and partnering with Enterprise Architecture and AI Risk governance workgroup. Connects AI technology platform strategy to enterprise needs, risks, and measurable enterprise value. Advances AI-enabled engineering and Agentic AI at scale, building tools and platforms that make AI adoption safe, repeatable, and accessible. Serves as a trusted advisor to senior technology and business leaders and models the behaviors that strengthen Compeer's engineering culture. A typical day: Leads AI platform engineering and adoption by building enterprise AI platforms, tools, services, and integrations for LLMs, retrieval-augmented generation, vector search, agents, Model Context Protocol, and AI-assisted and agentic software development. Establishes AI operational excellence through reusable components and guardrails, evaluation frameworks, monitoring, cost and performance management, output validation, production support, and responsible scaling of AI tools and agents. Partners on AI governance and risk with Risk Management, Information Security, Legal, Compliance, and Data Governance, translating requirements into access controls, data protection, model and vendor risk management, human oversight, auditability, and use-case risk tiering. Owns AI-enabled and Agentic AI engineering delivery for the most strategic and ambiguous software initiatives from discovery through sustained operation, making significant cross-boundary technical decisions and remaining accountable for quality, security, reliability, scalability, and production performance. Develops engineers and technical leaders through mentoring, communities of practice, training, and reusable guidance on AI-assisted development, prompt and context engineering, responsible AI, agentic development, and critical evaluation of AI-generated output. Advances technical mastery and engineering excellence across architecture, distributed systems, integration, cloud-native engineering, DevSecOps, testing, CI/CD, security, observability, and reliability while evaluating emerging technologies through experimentation and evidence. Connects engineering to business outcomes by translating Compeer's strategy, client needs, regulatory obligations, and risk into engineering strategies, investment options, build-versus-buy decisions, high-value AI opportunities, and multi-year roadmaps. Leads across organizational boundaries by partnering with engineering, architecture, product, security, data, operations, quality, risk, and business leaders Influences without authority, resolving conflicts and dependencies, and communicating risks and trade-offs clearly. The skills and experience we prefer you have: Bachelor's degree in Computer Science, Software Engineering, or related discipline, or equivalent experience, with extensive experience designing, building, and operating complex, business-critical software, distributed systems, and platforms. Hands-on experience designing and building AI applications and platforms using LLMs, retrieval-augmented generation, vector search, agent orchestration, Model Context Protocol, and cloud AI services such as Azure OpenAI or Azure AI Foundry. Experience scaling responsible AI-enabled engineering and Agentic AI across the software lifecycle, prompt and model versioning, quality and safety testing, cost and performance monitoring, production support, and validation of AI-generated outcomes. Working knowledge of responsible AI and AI governance, model and vendor risk management, privacy, bias and fairness, auditability, human oversight, sensitive-data protection, and translating governance requirements into practical technical controls; experience in financial services, agriculture, or another regulated industry is preferred. Experience leading complex solution design and strategic technical decisions across multiple portfolios, products, systems, or business domains, including architecture, integration, technology trade-offs, engineering strategy, standards, governance, and target-state architecture. Distinguished software engineering expertise across application development, APIs and integration, cloud-native and event-driven architectures, data, security, platforms, DevSecOps, testing, CI/CD, observability, reliability, and operational excellence. Ability to analyze highly complex problems, anticipate second- and third-order effects, balance technical, security, regulatory, operational, and investment trade-offs, and connect engineering decisions to Compeer's strategy, client needs, enterprise value, and durable multi-year direction. Exceptional communication, influence, leadership, and learning agility, including the ability to advise executives and governance bodies, constructively challenge assumptions, resolve cross-organizational dependencies, mentor senior technical talent, and rapidly evaluate and responsibly adopt emerging technologies. How we will take care of you: Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits. Base Pay $133,000-$180,000 USD Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time. Click here to view federal employment laws applicable for applicants.