60 jobs found

Job Description Job Description Job Title: Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Visa : USC, GC, EAD (Only W2, No Sponsorship) Responsibilities Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure. Refactor and modularize ML codebases to enhance reusability, maintainability, and performance. Collaborate with platform teams on compute capacity planning, resource allocation, and system upgrades. Integrate with existing model serving frameworks to support testing, deployment, and rollback processes. Monitor and troubleshoot production ML pipelines, ensuring high reliability, low latency, and cost efficiency. Contribute to internal ML platforms by sharing insights, proposing improvements, and documenting best practices. Build near real-time ML pipelines using Kafka and Spark Streaming. Work with AWS and SageMaker MLOps ecosystem. Requirements 6+ years of experience in software engineering, data engineering, or MLOps roles. Strong programming expertise in Python, with hands-on experience in Pandas, PySpark, and PyArrow. Deep understanding of the Hadoop ecosystem, distributed computing, and performance tuning. Experience with CI/CD pipelines and best practices in ML environments. Hands-on experience with monitoring tools for ML pipeline health and performance. Strong collaboration skills with experience working in cross-functional teams (platform, data science, engineering). Experience contributing to or building internal MLOps frameworks/platforms. Familiarity with SLURM clusters or other distributed job schedulers. Exposure to Kafka, Spark Streaming, or other real-time data processing technologies. Understanding of ML lifecycle management, including versioning, deployment, and drift detection. - KB1 Ref: Pittsburgh

Job Description Job Description The Company Halo Industries has invented a technology to replace a decades-old semiconductor material wire saw slicing process that wastes billions of dollars annually in high-value materials. Halo's laser-based technology eliminates this waste from the silicon carbide (SiC) substrate manufacturing process, delivering improvements in both material cost and performance, while enabling accelerated growth for a diverse set of high-growth application markets, including the electric vehicle, grid infrastructure, industrial HVAC and other high-voltage power electronics sectors. Halo originally spun out of Stanford University in 2014, acquiring a significant series A round of VC funding in 2020 following the successful demonstration of the company's precision material slicing equipment. Having recently closed on an $80M+ B round of VC funding, Halo is driving the fast-scale growth of the company's team and manufacturing operations. Halo Industries is well-funded, deeply engaged with multiple strategic customers, and staged to achieve rapid operational, revenue, and valuation growth. The Opportunity The evolution of Halo's technology and equipment, growing from an R&D focus to a production manufacturing environment, has triggered the need for an experienced Machine Control Software Engineer who can lead the design, development, and deployment of the company's production line equipment control and automation strategy. Job Description Lead the design and development of operator control systems for production-line mechanical and opto-mechanical tools. Architect and implement communication interfaces between equipment, factory systems, and subsystems (e.g., motion control, sensors, lasers, and robotics). Develop and integrate industrial communication protocols, including SECS/GEM, TCP/IP, EtherCAT, Modbus, Ethernet/IP, and RS232/RS485. Develop software in C# for GUI and device communication, integrating user interfaces with hardware control and system monitoring. Collaborate with PLC systems (Beckhoff preferred) and ensure consistent control logic using Structured Text (IEC 61131-3) and Ladder Logic. Define and enforce control software standards across production equipment. Design and maintain high-level device interfaces for lasers, robotics, motion control, and data acquisition hardware. Integrate and test machine vision systems (Cognex VisionPro, In-Sight Deep Learning). Build and debug state machines for automation control ensuring reliability and recoverability. Collaborate closely with mechanical, electrical, and integration engineers to develop end-to-end solutions. Conduct thorough system-level and component-level testing. Maintain rigorous documentation, version control, and issue tracking (Git, Jira, Confluence). Work within Agile development cycles to iterate and deploy features efficiently. Requirements Basic Qualifications Bachelor's degree in Software Engineering, Computer Science, or a related technical discipline. 10+ years of experience implementing high-reliability, production-line control systems. Deep understanding of industrial communication protocols: SECS/GEM, EtherCAT, Modbus, TCP/IP, RS232/RS485, OPC UA, Ethernet/IP. Proficiency in C# for GUI development and device communication. Proficiency in PLC programming, ideally Beckhoff TwinCAT 3. Proficiency in C++/ C#, WPF, and .NET for hardware control, GUI development, and data visualization. Preferred Qualifications Strong working knowledge of servos, stepper motors, sensors, actuators, and I/O systems. Experience with ACS motion control and machine automation architectures. Familiarity with Git, Jira, and Confluence for collaborative software development. Semiconductor manufacturing or equipment automation experience. Manufacturing Execution Systems (MES) integration. Expertise in mechatronics/automation design (motor sizing, actuator selection, sensor configuration). Prior startup or scale-up experience, ideally transitioning from R&D to production. Experience with database systems and factory automation integration. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Paid Time Off (Vacation, Sick & Public Holidays) Life Insurance (Basic, Voluntary & AD&D) Family Leave (Maternity, Paternity) Free Food & Snacks Stock Option Plan Short Term & Long Term Disability Base salary $160,000 - $200,000 Additional Information We are committed to creating an inclusive workplace where all team members feel valued and supported. We welcome applicants from diverse backgrounds, including those from underrepresented communities in STEM. If you meet most of the qualifications and are excited about this opportunity, we encourage you to apply.

Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity . click apply for full job details

Job Description Job Description About ATI: Automated Tire (ATI) is a Series-B startup revolutionizing automotive service with innovative robotic and software technology. Founded by experienced entrepreneurs and backed by major players in the automotive and tire sectors, ATI is building the next generation of tools that make tire shops and dealership service lanes faster, safer, and smarter. If you're passionate about building products that ship into real-world environments, ATI is the place for you. Position Overview: BrakeWise is our production brake inspection product: a mobile application paired with a camera probe that technicians use to assess pad and rotor condition during live service work. The machine learning behind it is a multi-stage pipeline of segmentation and classification models that turn raw imagery into a wear assessment a shop can act on and charge for. That pipeline works, and it is an MVP. It runs on Cloud Functions, and it will not carry us to the customer volume we're signing. We're looking for a Staff MLOps Engineer to own it - to take it from a working prototype to a serving architecture that holds up under real throughput, with the latency, cost, and reliability characteristics a paying customer expects. You'll own every aspect of how our models reach production and how they get better: serving infrastructure, deployment and rollback, monitoring and drift detection, the retraining loop, and the evaluation discipline that tells us whether a new model is actually an improvement. Model accuracy here has commercial consequences - a bad wear call is either a missed repair or an unnecessary one, in front of a customer. This is also the senior cloud architecture voice on the team. You'll partner closely with our Staff Full Stack Engineer, who owns the mobile app and customer dashboard, reviewing designs and setting GCP practices across the platform rather than only within the ML stack. Responsibilities: Own the multi-stage inference pipeline (segmentors and classifiers) end to end - serving architecture, latency, throughput, reliability, and cost per inspection Re-architect the pipeline off its current Cloud Functions MVP onto infrastructure that scales: containerized inference, GPU-backed or accelerated serving where it pays for itself, queueing, batching, and autoscaling Own model deployment: versioning, staged rollout, canary and shadow evaluation, and fast rollback when a model regresses Build and own the improvement loop - field data collection, labeling workflows, dataset versioning, evaluation harnesses, and regression suites that catch quality loss before customers do Monitor model quality in production: drift detection, segmented performance analysis, and triage of real-world failures against real inspection imagery Define the metrics that matter commercially - false-positive and false-negative rates on a wear call, technician override rate, unit inference cost - and report against them Improve model performance directly: architecture selection, augmentation, hard-example mining, and quantization or distillation where latency and cost demand it Evaluate on-device versus cloud inference trade-offs for the mobile app, and own whichever path we choose Establish MLOps foundations: reproducible training, experiment tracking, CI/CD for models, and infrastructure as code Serve as the cloud architecture counterpart to the Staff Full Stack Engineer - reviewing designs, setting GCP best practices, and raising the platform's infrastructure bar Work with hardware and field operations on capture quality - lighting, focus, and probe positioning - since upstream image quality sets the ceiling on model performance Own production support for the ML stack, including incident response and on-call participation for inference availability Proactively identify technical risks and architectural trade-offs, and communicate them clearly to leadership Requirements 8+ years of professional engineering experience, including several years owning machine learning systems in production - not solely model development Demonstrated experience taking a computer vision pipeline from prototype to production scale, serving real users at meaningful volume Deep experience deploying and operating segmentation and classification models, including multi-stage pipelines where one model's output feeds the next Strong cloud infrastructure background, preferably GCP - Vertex AI, Cloud Run, GKE, Cloud Functions, Cloud SQL, Pub/Sub, and Docker Production-grade Python, and fluency with PyTorch or TensorFlow Hands-on experience with model serving and optimization - Triton, TorchServe, ONNX, TensorRT, quantization, or equivalent Experience owning deployment and support for a live system, including incident response, rollback, and on-call Experience building data and labeling pipelines with dataset versioning and reproducible evaluation Comfort with infrastructure as code (e.g., Terraform) and CI/CD automation (e.g., GitHub Actions) Sound judgment on the accuracy, latency, and cost trade-offs that determine whether an ML product is viable Excellent problem-solving, debugging, and communication skills, including with non-technical stakeholders Preferred Qualifications: On-device or edge inference experience (Core ML, TensorFlow Lite, ExecuTorch) and integration into mobile applications Active learning or human-in-the-loop labeling systems Computer vision on small, long-tail, or industrial inspection datasets rather than large public benchmarks Experience with camera and sensor integration, or working alongside hardware teams on capture quality Experience with robotics, IoT, or edge computing (ROS or similar platforms) Familiarity with automotive service, dealership operations, or DMS ecosystems Contributions to open-source projects Why Join ATI: Be part of a groundbreaking startup transforming automotive service technology Work with a team of industry veterans and top-tier robotics and software talent Own the ML platform for a product that already has paying customers - your architecture decisions set the scaling ceiling Our customers are our investors, so you'll develop and test in real service lane environments A genuine data advantage: proprietary inspection imagery from real shops that no public dataset can replicate Clear Total Addressable Market with strong pull from B2B partners Competitive salary and comprehensive benefits package Prime location in Woburn, MA with on-site parking Collaborative, low-ego, high-intensity work environment

What you will do The AI Vision Systems Specialist is responsible for designing, developing, and deploying computer vision solutions that enable intelligent automation and quality control in Clarios manufacturing plants. This role supports the Future Factory vision by integrating advanced vision systems and AI algorithms into production lines. The specialist works closely with IT, product engineering, operations, and regional teams to deliver scalable, robust, and innovative solutions for automated inspection and process optimization. A key part of this role is connecting with business stakeholders across regions to collaboratively identify and align on pain points and priorities. The specialist will develop proof-of-concept (PoC) solutions in lab environments, validate them, and drive the integration of core solutions into base machines for global deployment. This position is remote with possible relocation required. How you will do it Business Engagement & Needs Identification Proactively engage with business and plant teams across regions to understand operational challenges, pain points, and improvement opportunities. Collaborate with business owners to create product roadmaps that prioritize delivery of key capabilities to the plants. Facilitate workshops and collaborative sessions to define priorities for vision system applications Solution Development & Deployment Design, develop, and implement computer vision systems for automated inspection, defect detection, and process monitoring. Develop PoC solutions in lab environments, validate with stakeholders, and drive integration into base machines. Integrate vision systems (edge devices, cameras, sensors, lighting) with manufacturing equipment. Create predictive and preventative maintenance schedule along with necessary spare parts list to ensure long-term viability of solutions. Collaborate with IT and engineering to deploy AI models and data pipelines for real-time analytics. Regional Execution & Scalability Lead and support deployment of vision solutions across multiple regions, ensuring adaptability to local requirements and standards. Coordinate with regional teams for pilot builds, R&D trials, commissioning, and feedback loops. Technical Leadership & Documentation Evaluate and select hardware/software for vision applications in brownfield and greenfield scenarios. Develop and maintain technical documentation, including Supplier Statements of Work (SSOW), Bills of Materials (BOM), System calibration and quality procedures, and spare parts lists. Guide vendor selection and manage strategic partnerships with equipment suppliers and integrators. Continuous Improvement & Innovation Stay current with emerging technologies in computer vision, machine learning, and industrial automation. Conduct benchmarking and share findings with global teams. Champion innovation and standardization across sites and regions. Communication & Collaboration Communicate technical concepts and project status to stakeholders at all levels, including executive leadership. Foster cross-functional and cross-regional collaboration to ensure alignment and best practice sharing. To succeed in this role, the individual must have a sound knowledge of vision systems in addition to internal business acumen: Visionary thinking and technical leadership in computer vision for manufacturing. Strong business acumen and ability to translate operational needs into technical solutions. Innovation and adaptability in fast-paced, evolving environments. Effective communication and collaboration across functions, cultures, and regions. Structured planning, project management, and follow-through. What we look for Required Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or related field. 3+ years of experience in computer vision, machine learning, or automation engineering. Experience with vision system integration in manufacturing or industrial environments. Familiarity with industrial cameras, sensors, and lighting systems. Experience deploying AI models to edge devices or cloud platforms. Proficiency in 3D CAD tools and simulation software is a plus. Experience leading cross-functional projects in international settings. FUTURE RELOCATION TO TEXAS IS REQUIRED What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Summary The O&M Gas Systems Engineer supports the safe, reliable, and efficient operation of bulk and specialty gas delivery systems that enable semiconductor manufacturing. This role partners with Operations, Maintenance, Manufacturing, Safety, and Engineering teams to improve system reliability, troubleshoot complex equipment issues, drive continuous improvement initiatives, and support capital and operational projects while ensuring compliance with environmental, health, safety, and quality standards. The engineer leverages data analytics, AI-enabled tools, and digital technologies to enhance decision-making, optimize system performance, and improve operational efficiency. Responsibilities Support the operation, maintenance, and continuous improvement of bulk and specialty gas systems to ensure safe and reliable semiconductor manufacturing operations. Analyze system performance data, identify improvement opportunities, troubleshoot equipment issues, and lead root cause investigations to improve reliability and reduce risk. Utilize AI, machine learning, and advanced analytics tools to identify trends, predict equipment failures, optimize maintenance strategies, and enhance operational performance. Develop and implement digital solutions, dashboards, automated reporting, and data visualization tools that improve engineering efficiency and decision-making. Ensure compliance with Micron safety, environmental, quality, and change management requirements while promoting a strong safety culture. Partner with Operations, Maintenance, Manufacturing, and other stakeholders to resolve system issues, improve equipment performance, and support production goals. Lead and support engineering projects including equipment upgrades, new installations, commissioning activities, and reliability improvements. Develop and maintain engineering documentation, design standards, procedures, specifications, and preventive maintenance strategies. Utilize engineering principles, TPM methodologies, and data-driven insights to drive cost savings, efficiency improvements, and operational excellence. Provide technical guidance and support to cross-functional teams while effectively communicating project status, risks, recommendations, and data-driven conclusions. Minimum Qualifications Bachelor's degree in Engineering, Chemistry, Semiconductor Technology, or a related technical field, or equivalent combination of education and experience. Strong analytical and troubleshooting skills with the ability to identify root causes and implement effective corrective actions. Ability to work effectively in a cross-functional team environment and communicate technical information clearly to diverse audiences. Experience using engineering data, schematics, technical documentation, and standard problem-solving methodologies. Familiarity with data analytics, AI-assisted tools, or digital technologies used to support engineering, maintenance, or operational decision-making. Demonstrated commitment to safety, quality, and continuous improvement. Preferred Qualifications Experience supporting industrial utility systems, gas delivery systems, semiconductor facilities, or related manufacturing environments. Knowledge of high-purity gas systems, instrumentation and controls, mechanical systems, and reliability engineering principles. Experience applying AI, machine learning, predictive analytics, or digital engineering tools to improve equipment reliability, maintenance effectiveness, or operational performance. Experience leading projects, coordinating cross-functional teams, and managing multiple priorities simultaneously. Familiarity with TPM, FMEA, root cause analysis, risk assessment, and continuous improvement methodologies. Experience developing automated workflows, dashboards, reporting systems, or engineering solutions using tools such as Microsoft Copilot, Power BI, Power Automate, Python, SQL, CMMS, SAP, Maximo, or similar platforms. Experience using AI-assisted productivity and engineering tools to improve technical documentation, data analysis, troubleshooting, and operational decision-making. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option ) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Summary The O&M Gas Systems Engineer supports the safe, reliable, and efficient operation of bulk and specialty gas delivery systems that enable semiconductor manufacturing. This role partners with Operations, Maintenance, Manufacturing, Safety, and Engineering teams to improve system reliability, troubleshoot complex equipment issues, drive continuous improvement initiatives, and support capital and operational projects while ensuring compliance with environmental, health, safety, and quality standards. The engineer leverages data analytics, AI-enabled tools, and digital technologies to enhance decision-making, optimize system performance, and improve operational efficiency. Responsibilities Support the operation, maintenance, and continuous improvement of bulk and specialty gas systems to ensure safe and reliable semiconductor manufacturing operations. Analyze system performance data, identify improvement opportunities, troubleshoot equipment issues, and lead root cause investigations to improve reliability and reduce risk. Utilize AI, machine learning, and advanced analytics tools to identify trends, predict equipment failures, optimize maintenance strategies, and enhance operational performance. Develop and implement digital solutions, dashboards, automated reporting, and data visualization tools that improve engineering efficiency and decision-making. Ensure compliance with Micron safety, environmental, quality, and change management requirements while promoting a strong safety culture. Partner with Operations, Maintenance, Manufacturing, and other stakeholders to resolve system issues, improve equipment performance, and support production goals. Lead and support engineering projects including equipment upgrades, new installations, commissioning activities, and reliability improvements. Develop and maintain engineering documentation, design standards, procedures, specifications, and preventive maintenance strategies. Utilize engineering principles, TPM methodologies, and data-driven insights to drive cost savings, efficiency improvements, and operational excellence. Provide technical guidance and support to cross-functional teams while effectively communicating project status, risks, recommendations, and data-driven conclusions. Minimum Qualifications Bachelor's degree in Engineering, Chemistry, Semiconductor Technology, or a related technical field, or equivalent combination of education and experience. Strong analytical and troubleshooting skills with the ability to identify root causes and implement effective corrective actions. Ability to work effectively in a cross-functional team environment and communicate technical information clearly to diverse audiences. Experience using engineering data, schematics, technical documentation, and standard problem-solving methodologies. Familiarity with data analytics, AI-assisted tools, or digital technologies used to support engineering, maintenance, or operational decision-making. Demonstrated commitment to safety, quality, and continuous improvement. Preferred Qualifications Experience supporting industrial utility systems, gas delivery systems, semiconductor facilities, or related manufacturing environments. Knowledge of high-purity gas systems, instrumentation and controls, mechanical systems, and reliability engineering principles. Experience applying AI, machine learning, predictive analytics, or digital engineering tools to improve equipment reliability, maintenance effectiveness, or operational performance. Experience leading projects, coordinating cross-functional teams, and managing multiple priorities simultaneously. Familiarity with TPM, FMEA, root cause analysis, risk assessment, and continuous improvement methodologies. Experience developing automated workflows, dashboards, reporting systems, or engineering solutions using tools such as Microsoft Copilot, Power BI, Power Automate, Python, SQL, CMMS, SAP, Maximo, or similar platforms. Experience using AI-assisted productivity and engineering tools to improve technical documentation, data analysis, troubleshooting, and operational decision-making. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option ) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

LevelTen Energy seeks a Senior AI Enablement Specialist to accelerate clean energy adoption by embedding AI across our renewable energy marketplace. In this role, you will partner with product, data, and engineering teams to design and deploy AI and ML solutions that improve forecasting, pricing, and transaction efficiency. You will evaluate tools, build prototypes, and scale models into production while defining AI best practices, governance, and responsible use. You'll also enable non-technical teams through training and self-service capabilities, helping them leverage data-driven insights to drive climate impact. Responsibilities Lead AI enablement initiatives to optimize renewable energy marketplace products and operations Partner with product, data, and engineering teams to design and implement AI/ML solutions that improve forecasting, matching, and pricing Translate business needs into AI use cases, requirements, and roadmaps aligned with clean energy goals Evaluate, select, and integrate AI tools, platforms, and models into Level Ten's technology stack Develop prototypes, proof-of-concepts, and scalable AI solutions using modern ML and generative AI techniques Establish best practices, governance, and ethical guidelines for AI usage across the organization Analyze marketplace and operational data to generate insights and recommendations for stakeholders Enable non-technical teams through training, documentation, and self-service AI capabilities Collaborate with customers and partners to understand AI-driven product needs and opportunities Monitor AI solution performance and continuously iterate to improve accuracy, reliability, and business impact Required Skills Machine learning model development Applied generative AI (LLMs, embeddings) Python programming SQL and data querying Cloud platforms (AWS, Azure, or GCP) MLOps and model deployment Data engineering and pipelines Product requirements and roadmap definition Data analysis and visualization AI governance and responsible AI frameworks

CAD/CAM Programmer (CNC Plasma) Equipment & Assembly Plant Pittsburgh, PA At Calgon Carbon, A Kuraray Company, you'll do more than program machines-you'll help manufacture equipment that supports cleaner air and cleaner water around the world. Join a global leader in environmental solutions where innovation, teamwork, and continuous improvement are part of everything we do. Whether you're an experienced CNC programmer or have a background in AutoCAD, drafting, or manufacturing and are looking to grow your career, we'd love to hear from you. Why Join Calgon Carbon? Comprehensive Benefits Medical, Dental, Vision & Prescription Coverage Health Savings Account (HSA) 401(k) with Generous Company Match Company Incentive/Bonus Programs Tuition Reimbursement Work-Life Balance Monday-Friday Schedule 7:30 AM - 4:00 PM 40-hour work week Paid Time Off starting at 3 weeks Career Growth Ongoing learning and development opportunities Stable, growing global organization Opportunities to expand your technical skills and manufacturing knowledge What You'll Do As a CAD/CAM Programmer, you'll play an important role in supporting our fabrication team by creating CNC programs and nesting layouts that maximize material utilization and keep production moving efficiently. Responsibilities include: Create CNC programs for plasma cutting equipment using AutoCAD and nesting software. Develop daily nesting plans that maximize material usage and minimize scrap. Generate CNC files for plasma cutting, plate rolling, and press brake operations. Read and interpret engineering drawings and fabrication prints. Monitor and manage drop material inventory to improve material utilization. Perform cycle counts and compare physical inventory to SAP inventory records. Collaborate with fabrication and production teams to ensure work is prioritized and machines remain productive. Support continuous improvement initiatives focused on efficiency, quality, and waste reduction. What We're Looking For Required Qualifications High School Diploma or GED. Approximately 1+ year of experience in drafting, CAD, CNC programming, manufacturing, or a related technical field. Experience using AutoCAD 2D or similar CAD software. Ability to read and interpret mechanical drawings and blueprints. Familiarity with DXF, DWG, and other engineering file formats. Strong attention to detail and organizational skills. Basic Microsoft Excel skills. Preferred Qualifications Associate degree or technical degree in Drafting, CAD, Manufacturing Technology, or a related discipline. Experience with CAD/CAM or nesting software. Experience programming CNC plasma tables, laser cutting equipment, press brakes, or similar fabrication equipment. Experience with SAP or another ERP system. Experience working in a fabrication or manufacturing environment. Why Calgon Carbon? For more than 80 years, Calgon Carbon has been an industry leader in developing innovative solutions that protect the world's air and water. Today, our products support more than 700 applications worldwide, and our employees continue to drive innovation across our global manufacturing and technology operations. Headquartered in Pittsburgh, Pennsylvania, Calgon Carbon operates 20 facilities worldwide and employs approximately 1,685 professionals. As part of the Kuraray Group, we combine global resources with a collaborative culture committed to quality, innovation, and sustainability. If you're looking for a career where your technical skills make a real impact, we'd love to hear from you. Calgon Carbon is an Equal Opportunity Employer, including disabled/veterans PI7e311933be18-3242

Job Description Job Description Senior Data Analyst Req ID 003-25 v1.0 HazeGrayCyber, LLC is focused on delivering Cyber Security and Zero Trust Solutions to the US National Defense community and our allies and partners. This position will provide Information and Task Management Support to MCICOM, G-9, and the Marine Corps. Location: Performance will take place at both the Government's facility and the contractor's facility. Travel will be required to conduct on-site IA tasks at Marine Corps Regions/Installations Responsibilities: High-level problem solver who uses advanced techniques, such as optimization, data mining, statistical analysis and mathematical modeling; develop solutions to help organizations operate more efficiently and cost-effectively. Perform analysis applying appropriate scientific processes and modeling techniques; conduct research initiatives and contribute to data analysis initiatives; apply operations research methodology to various forms of analyses; present information into meaningful reports and presentation material; interprets information that may assist management with decision making and/or policy formulation. Specifically - working in partnership with a Senior Data Scientist and Senior Data Analyst. Collect and normalize data, analyze, and present results of enterprise to individual real property assets or MCICOM Marine Corps programs within the installations portfolios and functions, and provide programmatic, cost, budget, schedule, and technical requirements utilizing descriptive methods, tools, and supporting visualizations. Use analytic tools to combine, analyze, and interpret very large and complex datasets to perform exploratory analyses and develop data-informed organizational solutions. Design, develop, enhance, and support new and existing dashboards and visualizations using the following tools, but not limited to PowerPoint, Tableau, Python, or R to support planning, programming, budget, and execution decisions. Conduct predictive analysis and refine/update models to forecast future infrastructure and installation services requirements and resources to support the Marine Corps Future Force, tenant requirements, and families. Use of operations research techniques and methods, machine learning models, and other predictive analytics tools to identify trends, patterns, and potential future outcomes. Refine the predictive infrastructure model that focuses on lifecycle management including incorporating known funding levels, known facility investment plans (supportive of military construction (both new mission/footprint and recapitalization), restoration and modernization, sustainment, and demolition requirements) and incorporating the Marine Corps' Facility Investment Strategy (FIS). Provide recommendations of optimal investment strategies to support the infrastructure and installation services portfolios. This analysis will include optimization models implementing known or projected investment goals, scenario planning, and the integration of various budgets, real property, and input data (to include but not limited to inflation, metrics, and factors) to support actionable investment recommendations over the Future Years Defense Program (FYDP). Deploy descriptive, predictive and prescriptive infrastructure model into government environment and develop training materials and train government personnel at the Regions/ Installations for use. The following steps outline a Full Enterprise, Readiness Model that meets Full Operational Capability (FOC) to include using advanced analytic software or leverage a Large Language Model (LLM). Build prescriptive infrastructure model in the Government (OSD Advana) Cloud Environment Required Education and Experience 10+ years of experience and BA/BS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study or 5+ years of experience and MA/MS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study Desired Education and Experience 20+ years of specialized experience and a BA/MS degree in data science, computer science, engineering, mathematics, operations research or another technical field of study with expert knowledge of databases, data modeling, and SQL PhD in Operations Research Desired Certifications International Cost Estimating & Analysis Association (ICEAA) Certification Security US Citizenship Required Ability to obtain and maintain a Government Secret Security Clearance Overseas Performance Requirements Overseas performance and/or travel may be required in Japan, Korea, and/or Guam. NOTE: SPOT requirements will require the use of SPOT for approving SOFA status. HazeGrayCyber, LLC is an Equal Opportunity Employer with a strong commitment to supporting and retaining a diverse and talented workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. HazeGrayCyber, LLC offers competitive compensation and benefits as well as great long-term career opportunities. For more information or to apply, visit our website at

Job Description Job Description Job Description ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED Are you a powerhouse data scientist who thrives on solving large-scale operational challenges? Bring your 10+ years of advanced expertise to architect predictive models, run complex simulations, and drive multi-objective decision frameworks using Pandas, R, Python, or MATLAB. Translate intricate machine learning and statistical data analytics into clear strategic narratives for high-level stakeholders! In this role, you will lead the charge in defining complex problems, gathering critical stakeholder requirements, and applying advanced mathematical techniques to guide critical decision-making. If you are ready to transform large-scale operational challenges into optimized mission solutions alongside a team that values engineering excellence, let's achieve more together! The annual base salary range for this role is $200,000-$237,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. , Required Skills Core Experience: 10+ years of professional experience analyzing complex management and operational problems using advanced operations research techniques. Modeling Simulation: 4+ years of hands-on experience applying modeling and simulation frameworks to address high-level decision analysis problems. Strategic Analysis: 4+ years of experience conducting multi-objective decision analysis or cost-benefit analysis in direct support of research objectives. Data Toolset Toolkits: 4+ years of deep expertise using tools and libraries such as Pandas, R, Excel/VBA, Arena, Octave, Tableau, Gurobi, CPLEX, ExtendSim, SAS, Netica, Statsmodels, Stata, MATLAB, or SPSS. Stakeholder Engagement: Proven experience conducting problem definitions and gathering detailed data requirements directly from stakeholders. Communication: Outstanding oral and written communication skills with a track record of explaining intricate data analysis to non-technical stakeholders. Education: 10 years of experience with a technical bachelor's degree, 14+ years of experience without a techncial bachelor's degree. , Desired Skills Model Validation: Experience developing and performing rigorous verification and validation (VV) of models to ensure adequacy and performance. Knowledge Sharing: Experience developing and delivering comprehensive training materials for operations research techniques. Executive Briefing: Experience briefing high-level results and preparing thorough written reports on analytic approaches and methodologies. Emerging Tech: Familiarity or experience with machine learning and large language models (LLMs) to solve complex enterprise problems. , About Nyla Technology Solutions Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done. If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla's team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you're at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract (over 40 hrs/week). There's even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That's up to 240 hours of leave plus 11 holidays! That's not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla's health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place. To learn more about Nyla's culture and our exceptional benefit packages click here. Nyla is an equal opportunity employer.

Job Description Job Description Join Our TeamDevis is a leading provider of innovative software development, management, and consulting services, specializing in cutting-edge technologies such as DevSecOps, AI, and Machine Learning. With over 30 years of experience, we have established ourselves as a trusted partner for government agencies, delivering tailored, mission-critical solutions that drive digital transformation and operational excellence. Our client-centric approach, coupled with our deep domain expertise and technical prowess, enables us to forge enduring relationships and consistently deliver high-impact, adaptive solutions that resonate with the unique needs of the public sector.The RoleThis is the second audiovisual and video teleconferencing seat on the helpdesk team supporting a federal agency, working alongside the senior specialist, the production engineer, and a part-time event coordinator to keep conference rooms, executive meetings, and live events running. The role is hands-on: a mix of scheduled event support, walk-up troubleshooting, and preventive maintenance. The agency runs Microsoft Teams, Zoom, Webex, Google Meet, and Slack for video conferencing and collaboration, with Cisco and Poly platforms in its conference and AV rooms. Headquarters is in Washington, DC, with 53 field offices nationwide; about 2,100 people rely on these systems.What You'll Do Configure, operate, and troubleshoot AV equipment across conference rooms and event spaces: mixers, DSPs, control systems, projection, and LED displays Schedule, set up, and manage Teams, Zoom, Webex, and Poly RealPresence sessions, including webinars and breakout rooms, and resolve connectivity and interoperability issues Assist with setup, execution, and post-event work for town halls, executive meetings, training sessions, webcasts, and conferences, operating production equipment under the direction of the production engineer or event coordinator Support recording, streaming, public address, public displays, and captioning during events Work the AV/VTC service desk alongside the senior specialist: receive, document, and resolve trouble tickets from staff at any agency location, escalating what you cannot close Perform preventive maintenance, firmware updates, and inspections, and keep inventory records current Help end users get comfortable with conference room technology What You'll Need Six years supporting enterprise AV and VTC operations at comparable scale (the agency runs about 2,100 users across headquarters and 53 field offices) Hands-on experience operating conference room AV and video teleconferencing systems Experience supporting live meetings and events in a professional or government setting Comfort diagnosing codec, connectivity, and hardware issues under time pressure Nice to Have AVIXA CTS certification Prior support to a federal agency AV-over-IP experience Experience delivering end user training on conference room technology Section 508 accessibility experience, particularly captioning ITIL v4 Foundations and experience with Zendesk or a comparable ticketing platform Location, Schedule, and Logistics Standard schedule is an eight-hour day scheduled between 7:00 a.m. and 7:00 p.m. Eastern, Monday through Friday, excluding federal holidays. Occasional weekend work may come up with advance government approval. Live events sometimes land at the edges of the 7:00 a.m. to 7:00 p.m. window, so expect early starts or late wraps around major events. On-site at agency headquarters in Washington, DC (NoMa area, Metro-accessible). Telework is by exception only and requires government approval. You will work on a government-furnished laptop. Personal devices cannot connect to the agency network. At least 40 hours per year of paid professional training in your core skill areas, at no cost to you. Occasional travel to agency field offices, event sites, and official events held away from headquarters, reimbursed at federal travel rates. Devis is an AA/EOE/M/F/Disabled/VET Employer committed to providing equal employment opportunity without regard to an individual's race, color, religion, age, gender, sexual orientation, veteran status, national origin or disability. Powered by JazzHR C15oYRmRPm

Job Description Job Description Description: Agile Space Industries is a rapidly growing supplier of propulsion hardware and engineering services for the space industry. Headquartered in Durango, Colorado, with expanding operations in and Tulsa, Oklahoma, and upcoming growth in Seattle, Washington, Agile has achieved more than 40% year-over-year growth for the past three years, and our momentum continues to accelerate. At Agile, we design, build, and test in-space propulsion systems that give spacecraft the ability to maneuver with precision, reliability, and purpose. Our technologies play a critical role in missions that range from lunar landings and resource utilization to national defense, human exploration, and commercial space transport. We are seeking bold and driven individuals who thrive in a hands-on, fast-moving environment and want to help write the next chapter of space history as part of a close-knit, innovative team. You will take on a demanding and rewarding role at Agile, directly shaping the future of in-space propulsion. As an integral contributor during our growth stage, you will be eligible to participate in our stock option plan, giving you the opportunity to share in the long-term value you help create. All stock grants are subject to executive review and approval in accordance with the Company's equity plan. This is an onsite role based in Durango, Colorado. Durango offers a rare combination of meaningful aerospace work and exceptional quality of life, with access to world-class skiing, mountain biking, hiking, fishing, rafting, and a vibrant mountain-town community. Relocation assistance is available for qualified candidates. Agile Space Industries is seeking an experienced and hands-on Additive Manufacturing (AM) Operations Lead onsite in Durango, CO to lead our additive operations, build scalable processes, and partner closely with Engineering, Production, Materials, and Quality to deliver high-performance printed components for space flight hardware and R&D programs. The AM Operations Manager is responsible for operational execution, technical leadership, team development, and continuous improvement across Agile's LPBF production ecosystem. This leader will oversee AM equipment, people, workflows, documentation, and quality standards supporting propulsion hardware across the full lifecycle: prototype, test, qualification, and production. The AM Operations Manager will also be core cross-function leader, partnering closely with Engineering, Production, Materials, and Quality to deliver high-performance printed components for space flight hardware and R&D programs. This role requires strong technical depth, a continuous-improvement mindset, and the ability to lead in a fast-paced aerospace environment where precision, reliability, and schedule discipline are essential. Responsibilities Additive Manufacturing Operations Own day-to-day operations of the LPBF production floor, ensuring safe, efficient, and reliable execution. Manage production schedules across prototype, development, qualification, and production programs in coordination with other Agile departments. Oversee machine setup, build execution, powder handling, and post-processing workflows. Ensure repeatable, high-quality production of printed propulsion components. Maintain spare parts, consumables, gas supply, and other inventory critical to production. Drive equipment uptime, preventative maintenance, and facility readiness to support throughput growth. Establish, track, and continuously improve operational KPIs (yield, throughput, cycle time, scrap, machine utilization). Technical Leadership Partner with Design Engineering during DfAM reviews to align geometry, support strategies, and material selection with LPBF capabilities. Facilitate AM process development, including control of AM process parameters, scan strategies, thermal histories, and build envelopes. Lead root cause analysis for print failures and drive corrective actions Maintain configuration control of build files, machine settings, and AM processes. Oversee integration of downstream processes including heat treatment, HIP, machining, and inspection. Define and document AM processes in accordance with aerospace and internal quality standards People Leadership Mentor AM technicians, operators, and engineers with emphasis on safety, technical rigor, and continuous learning. Establish onboarding pathways, technical certification levels, and recurring training cycles for AM roles. Allocate resources effectively across shifts and programs, adjusting team responsibilities based on skills, priorities, and workload. Cultivate a culture of accountability, ownership, and disciplined execution. Quality & Compliance Partner with Quality Engineering to define critical-to-quality features, inspection protocols, sampling plans, and acceptance criteria. Ensure compliance with ITAR, AS9100, and internal configuration-control and document-control requirements. Maintain full material and process traceability (powder lots, build files, inspection records, heat treat/HIP records, and rework history). Support internal and external audits, customer reviews, and supplier assessments. Ensure build and post-processing travelers are fully executed, documented, and closed out accurately. Strategic & Cross-Functional Support Evaluate and select emerging AM technologies, materials, sensing systems, and post-processing techniques. Support make-buy decisions, including technical evaluation of external Requirements: 7+ years of experience in manufacturing, including 2+ years of manufacturing management, with preference for metal additive manufacturing and hands-on machine operation Demonstrated experience with aerospace or highly regulated production environments Strong knowledge of metal LPBF processes and materials commonly employed in metal AM technologies such as Inconel, Titanium, or Copper alloys Proven experience optimizing manufacturing flow, leading root cause analysis, and developing repeatable manufacturing processes Leadership experience managing technical teams in a prototyping or production setting Ability to interpret engineering drawings, GD&T, and specifications Preferred Qualifications Bachelor's degree in Mechanical Engineering, Materials Science, Manufacturing Engineering, or related discipline Experience producing flight hardware or propulsion components Background with EOS, SLM Solutions, VELO3D, TRUMPF, or similar LPBF platforms. Knowledge of heat treatment, HIP, machining, and NDE for AM components Experience standing up new AM facilities, bringing in new equipment, or scaling production Familiarity with ERP/MRP systems and manufacturing documentation best practices. Physical Requirements: Prolonged periods of sitting at a desk and working on a computer Employment Type: Exempt Salary: $120,000 - $162,000 Final compensation will be based on factors such as experience, skills, and internal equity, and is typically made within the midrange, rather than the upper end. Work Schedule: Full Time Travel Requirements: Relocation Stipend Location: Durango, CO Posting Timeline: This position will remain open for a minimum of five (5) days and will continue to accept applications until the role is filled. Early applications are encouraged, as reviews and interviews may begin during the posting period. What You'll Love About Us: Agile Space Industries offers exceptional benefits to support you and your family including generous health coverage, dental and vision plans, Flexible Time Off, parental leave, and a 401(k) with 100% company match up to 4%. We are committed to creating a diverse work environment and proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other basis protected by law. Disclaimer: Agile is proud to offer a competitive benefits package to support our team members as they take on challenging, mission-driven work. The benefits listed in this job description are applicable to full-time employees. Part-time, temporary, or other non-full-time employees may have different benefit eligibility in accordance with company policy and applicable plan terms. Don't meet every single requirement? At Agile, we are committed to fostering a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification, we encourage you to apply anyway. You might be the perfect fit for this role or another opportunity with us. Reasonable Accommodation: At Agile, our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at Agile Space Industries. If you need a reasonable accommodation during the application or the recruiting process, please submit a request to . Recruitment Notice: Agile Space Industries is not partnering with external recruiters or agencies at this time. Please do not contact our staff directly regarding open positions . click apply for full job details

Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science

Set and drive strategies to transform operations planning business processes, focusing on schedule reliability, cost reduction and optimization; Influence leaders, squads and peers on strategy, technical feasibilities, DevOps best practices, software performance optimizations, roadmap items, OKRs and upcoming releases; Collaborate with internal teams, and Operations Research, IT and Network Planning teams to build the next generation of planning tools. Plan, organize, and direct the design, development, and implementation of enterprise planning products using cloud technologies, advanced analytics, and efficient workflow design; Design and optimize operational planning processes to improve operational performance; Design experiments, conduct feasibility studies, systems analysis, and technical economic assessments of various schedule constraints and operational standards; Mine, model, analyze, and evaluate operational data to identify root cause factors impacting network reliability; Play a key role in solving complex science problems which contribute to development of network schedules and operations plans; Coordinate process engineering projects across departments. Work closely with cross-functional teams to implement improvements; Contribute to the technical architecture and design of products by collaborating with engineering teams to ensure alignment with enterprise system architecture and cloud best practices; Collaborate with operational planning departments across divisions (Airport planning, Technical Operations/Maintenance, Integrated Operations Center Planning, Crew Planning), Operational leadership, and Network Planning in the development of future schedules and schedule solutions; Utilize technical analytics including A/B testing, product architecture, continuous deployment process, DevOps practices, data models and analytics, querying languages, tools supporting automation/metrics and other technologies in support of improved operational performance; Understand the budgetary implications and related organizational constraints in factoring areas of focus; Practice agility in discovering and delivering value continuously. Work Schedule: 40 hours per week/8 a.m.-5 p.m./M-F. Job Location: Fort Worth, TX Education and Experience Requirements Masters degree in Data Science, Business Analytics, or related field, plus 2 years of experience as Analyst, Product Owner, Specialist, Consultant, or any occupation in which the required experience was gained, and demonstrated experience in: Python Programming; SQL Programming; Airline Operations and Schedule Planning; Airline business model; Machine Learning and statistical Forecast Models for Airlines; Azure Databricks for automating workflows and data pipelines; Azure Data Factory; Azure DevOps; Tableau Dashboards for tracking performance; Test Driven Development; A/B Testing; Software Development; Data Analysis; Data Engineering. Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at (link removed) with reference in the subject line. Thank you.

Network Services Technician Position Number: B258PD Starting Wage/Salary: $70,000 - $80,000 plus exceptional benefits Close Date: Open Until Filled: Yes Open Until Filled Notes: Priority Application Deadline 9/13/2026. Please note interviews for this position will only be conducted in person at our Bend Campus. Incomplete applications will not be considered by hiring committees. Primary Purpose: Responsible for assisting the Network Services Manager with the day-to-day functioning of the College local and wide-area data/video/voice networks including troubleshooting routers, hubs, switches, and communication lines. This position also supports other ITS teams in evaluating, configuring, and administering the COCC network. The position is part of the ITS Network Team within the Tech Support Services area of the ITS department. As such, will also participate in research, development, and direct support of projects that enhance COCC's information technology. Essential Duties and Responsibilities: Assist with network maintenance and overall network stability by: Performing daily operations and monitoring a wired and wireless network. Assisting the Network Services Manager with the installation, maintenance, and monitoring of networking equipment. This may include applying software updates as well as major upgrades. Identifying trends, recommending and implementing corrective measures, and documenting action taken. Serving as a technical specialist in network problems and emergencies; assists in troubleshooting and resolution of network problems. Assisting with analysis and monitoring of network activities to ensure optimal network operation. Helping install and improve network infrastructure to include fiber, cabling, and equipment. Maintaining network documentation and wiring documentation pertaining to the network systems. Helping maintain an inventory of network equipment and parts. Assisting in the maintenance of phone and voice mail systems. Assisting with cross-team training and support of end-user technical issues including, workstations, AV programming, and hardware/software engineering. Network Infrastructure Support COCC learning environment by: Working with the campus constituents, network team, and ITS team members to ensure stable and functional networking services are provided to all COCC campuses. Identifying, suggesting, and implementing improvements to systems and network environment. Assists the Network Services Manager to provide a stable and reliable network environment between State Universities and COCC Provide technical assistance for existing and new building facilities in the support of future technologies. Coordinate with outside vendors as necessary to obtain technical support, quotes, and guidance for network activities. Performing network maintenance during designated maintenance windows. Network Projects As part of the networking team, evaluate and implement projects aimed at sustaining the following: Crestron programming and connectivity Wireless and Wired Network Configuration, Troubleshooting, and Support. Utilizing Network Monitoring tools Firewall Monitoring Network Documentation Power / UPS Management Phone and Voice Mail Support Open Community Wireless Network Support Residence Hall Network Troubleshooting and Support Outlying Campus Support. Network Support of Outside Services AV Switch and Equipment Programming and Configuration. Network Cabling Installation, Troubleshooting, and Documentation. Knowledge, Skills, and Abilities: Individuals must possess these knowledge, skills, and abilities or be able to explain and demonstrate that the individual can perform the essential functions of the job, with or without reasonable accommodation, using some other combination of skills and abilities. A strong understanding of Network Topology and client connections to the network is required. This individual blends strong interpersonal skills with excellent technical ability. Ability to perform classroom AV installs and programming. Understand the issues involved with administering and maintaining educational infrastructure, including network connectivity, Internet access, wireless access, etc. Ability to provide input in making decisions regarding changes to the network such that interruptions are rare, generally planned, and brief. Ability to review and evaluate the College networks and make recommendations. Ability to gather information from other ITS staff to obtain information regarding potentially related problems to network systems. Basic knowledge of data security including encryption, intrusion detection, firewalls, virus protection, etc. Ability to use office equipment, power tools, machinery, computers, and network diagnostic tools. Ability to work with Network and Communication Service providers and ITS technical support staff. Knowledge monitoring and maintaining routers, switches, and other networking devices. Ability to support outside agencies telecommunications needs as defined by contractional agreements with COCC . Must be able to communicate effectively, both orally and in writing, using the English language with or without the use of an interpreter. Minimum Requirements: Education Associate's degree in a technology-related field or equivalent experience. Experience Three years of experience with network infrastructure activities such as monitoring and configuring network routers and switches, programming room control systems, and supporting network infrastructure. One year of experience working in an enterprise and/or production technology environment, providing complex end-user support. Other Valid Oregon Driver's license, and the ability to meet the College requirements to drive campus vehicles; or the ability to obtain within 30-days of employment. Preferred Qualifications: Education Bachelor's degree in a technology-related field or equivalent. Experience Greater than three years of experience with networking infrastructure activities. Experience with wiring network infrastructure including types of wiring categories. To apply, visit The goal of Central Oregon Community College is to provide an atmosphere that encourages our faculty, staff and students to realize their full potential. In support of this goal, it is the policy of Central Oregon Community College that there will be no discrimination or harassment on the basis of age, disability, sex, marital status, national origin, ethnicity, color, race, religion, sexual orientation, gender identity, genetic information, citizenship status, veteran or military status, pregnancy or any other classes protected under federal and state statutes in any education program, activities or employment. Persons with questions about this statement should contact Human Resources at or the Vice President for Student Affairs at . This policy covers nondiscrimination in both employment and access to educational opportunities. When brought to the attention of the appropriate parties, any such actions will be promptly and equitably responded to according to the process outlined in general procedures sections N-1, N-2, or N-3. In support of COCC's EEO statement, bilingual fluency in English and Spanish is considered a plus, along with experience working in a diverse multicultural setting. Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency je-65b0f4457be0a994b8d648b26