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<p><strong>Responsibilities</strong></p><p>Howmet Aerospace, headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company’s primary businesses focus on jet engine components, aerospace fastening systems and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is transforming the next phase of more fuel-efficient, quieter aerospace engines and sustainable ground transportation. For more information, visit&nbsp;<a href="http://www.howmet.com/" target="_blank">www.howmet.com</a>. Follow @howmet:&nbsp;Twitter,&nbsp;Instagram,&nbsp;Facebook,&nbsp;LinkedIn,&nbsp;and&nbsp;YouTube.</p><p>We are seeking highly motivated and energetic students for the 2026 summer intern program at Howmet Engine Systems. The program consists of 10-12 weeks of structured hands-on training involving plant tours, seminars, networking events, and projects selected to add direct value to the business.&nbsp; At the conclusion of the program, interns will present their projects to plant managers, supervisors, and mentors. An internship at Howmet Engine Systems will provide an invaluable experience that you can utilize in any roles, and it’s Howmet Aerospace’s goal to evaluate our interns for potential entry-level openings.&nbsp;</p><p>Open Positions</p><ol><li>Manufacturing Engineer Interns</li><li>Process Engineer Interns</li><li>Product Engineer Interns</li><li>Materials Engineers</li></ol><p><strong>Qualifications</strong></p><p><strong>Basic Qualifications:</strong></p><ul><li>Candidate must be pursuing a bachelor’s degree from an&nbsp;accredited institution.</li><li>Minimum completion of Sophomore level coursework from an accredited institution.&nbsp;</li><li>&nbsp;Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.</li><li>&nbsp;This position entails access to export-controlled items and employment offers are conditioned upon an applicant's ability to lawfully obtain access to such items.</li></ul><p><strong>Preferred Qualifications:</strong></p><ul><li>Currently enrolled in a Bachelor’s degree program in Engineering (Materials Science &amp; Engineering, Metallurgical Engineering, Ceramic Engineering, Mechanical Engineering, Aerospace Engineering, Electrical Engineering, etc.) from an accredited institution.&nbsp;</li><li>Strong verbal and written communication skills</li><li>Excellent analytical skills</li><li>Ability to work in a self-directed or team environment.</li><li>Relevant internship/work/research experience a plus.</li></ul>

Howmet Aerospace

Engineering Intern Summer 2026

<br><h4>Overview</h4><p>At LMI, we’re building mission-ready AI that delivers impact where it matters most. Our <strong>Forward Deployed AI Engineers</strong> embed with government partners to tackle high-priority, fast-moving challenges—designing and deploying AI solutions that accelerate decisions, uncover anomalies, and unlock the power of our LIGER generative AI (GenAI) platform.&nbsp;</p><p>Like a startup CTO in the field, you’ll wear many hats: part software engineer, part AI architect, part problem solver. You’ll operate with autonomy, adapt to shifting requirements, and bring technical clarity to ambiguous problems—all while collaborating with mission stakeholders, software engineers, and the Chief Product Officer team. If you thrive at the intersection of customer impact, technical excellence, and operational speed, this role offers the chance to deliver AI that matters.&nbsp;</p><p>This role requires <strong>an ActiveSecret security clearance</strong> and availability to collocate with our defense and national security customers in the Pentagon.&nbsp;</p><p>LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</p><p><br>Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</p><h4>Responsibilities</h4><ul><li><strong>Own technical delivery:</strong> Drive AI solution design and implementation across multiple government deployments, from first prototype to stable mission use.&nbsp;</li></ul><ul><li><strong>Embed with customers:</strong> Serve as a technical thought partner to mission stakeholders, guiding adoption, maximizing impact, and ensuring successful deployments.&nbsp;</li></ul><ul><li><strong>Build GenAI-enabled systems:</strong> Prototype and implement pipelines using Python, TypeScript, or comparable stacks aligned to customer mission needs.&nbsp;</li></ul><ul><li><strong>Guide value realization:</strong> Help customers understand trade-offs, sequence delivery, and adapt applications to achieve operational outcomes.&nbsp;</li></ul><ul><li><strong>Deliver clarity under ambiguity:</strong> Scope projects, remove blockers, and make informed trade-offs between speed, scope, and quality.&nbsp;</li></ul><ul><li><strong>Contribute directly in code:</strong> Write and review software across backend and full-stack environments when clarity or momentum depends on it.&nbsp;</li></ul><ul><li><strong>Codify patterns:</strong> Capture reusable workflows, best practices, and lessons learned into playbooks, tools, and building blocks that scale beyond a single project.&nbsp;</li></ul><ul><li><strong>Shape the roadmap:</strong> Share field signal with LMI’s product and research teams to guide the evolution of LIGER and related AI capabilities.&nbsp;</li></ul><h4>Qualifications</h4><p><strong>Minimum Qualifications&nbsp;</strong></p><ul><li>Bachelor’s degree in Computer Science, Data Science, or a related technical field (or equivalent practical experience).&nbsp;</li></ul><ul><li>5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments.&nbsp;</li></ul><ul><li>Hands-on experience building and deploying applications that integrate AI/LLMs, APIs, and data pipelines.&nbsp;</li></ul><ul><li>Strong programming skills in Python and proficiency in a modern full-stack environment (e.g., JavaScript/TypeScript, MEAN, Node.js).&nbsp;</li></ul><ul><li>Familiarity with cloud deployment (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, etc.).&nbsp;</li></ul><ul><li>Ability to translate customer needs into actionable technical approaches and deliver solutions in fast-moving or ambiguous contexts.&nbsp;</li></ul><ul><li>Excellent problem-solving, judgment, and communication skills, with ability to engage technical and non-technical stakeholders alike.&nbsp;</li></ul><ul><li><strong>Must have an active Secret security clearance.</strong></li></ul><p><strong>Desired Qualifications&nbsp;</strong></p><ul><li>Master’s degree in Computer Science, Data Science, or related technical field.&nbsp;</li></ul><ul><li>Experience deploying systems powered by generative AI (LLMs, RAG architectures, Model Context Protocol) in sensitive or mission-critical settings.&nbsp;</li></ul><ul><li>Proven track record of scoping and delivering complex systems under tight timelines.&nbsp;</li></ul><ul><li>Familiarity with DevSecOps practices, CI/CD, and secure software development for government environments.&nbsp;</li></ul><ul><li>Demonstrated ability to simplify complexity, anticipate risks, and provide clarity in high-stakes environments.&nbsp;</li></ul><p>Target salary range: $130,986 - $233,154</p><p>The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.</p><p>#LI-SH1</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Forward Deployed AI Engineer - Clearance Required

<br><h4>Overview</h4><p>LMI is seeking a <strong>Full-Stack Engineer</strong> to join the RAPTR Platform development team. RAPTR is a next-generation modeling and simulation platform, designed to help solve the U.S. government’s toughest mission and operational challenges. This role will focus on building cloud-native orchestration, compute, and scalability for RAPTR and its modeling and simulation engine, RSIM.&nbsp;</p><p>LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</p><p>Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</p><p><strong>This is a 100% remote role with quarterly travel for in person team planning and collaboration events.&nbsp;</strong><strong>This position requires the ability to obtain a Secret clearance. You must be a U.S. citizen.</strong></p><h4>Responsibilities</h4><ul><li><strong>Architect and Refine Backend Systems:</strong> Take the lead in developing and updating the backend code for diverse Python-based applications, ensuring high performance and scalability. &nbsp;</li></ul><ul><li><strong>Craft and Deploy Python Code:</strong> Write, design, and implement robust, clean Python code that drives our applications forward. &nbsp;</li></ul><ul><li><strong>Ensure Code Quality:</strong> Develop and conduct unit tests for product components, maintaining a commitment to quality and reliability. &nbsp;</li></ul><ul><li><strong>Collaborative Development:</strong> Work closely with our software development team using GitLab to enhance collaboration and streamline workflows. &nbsp;</li></ul><ul><li><strong>Strategic Stakeholder Engagement:</strong> Regularly meet with internal managers and external customers to discuss software challenges and collaboratively devise innovative solutions. &nbsp;</li></ul><ul><li><strong>Code Excellence:</strong> Write original code and refine existing codebases, ensuring all developments meet rigorous program requirements. &nbsp;</li></ul><ul><li><strong>Detail-Oriented Practices:</strong> Apply a methodical approach to documenting and testing your code, ensuring flawless functionality. &nbsp;</li></ul><ul><li><strong>Adaptive Work Style:</strong> Thrive in a flexible work environment, whether you’re driving initiatives independently or as an integral part of our team. &nbsp;</li></ul><h4>Qualifications</h4><ul><li>5-10 years of directly related experience &nbsp;</li></ul><ul><li>Bachelor's degree in Computer Science or related field and/or equivalent work experience &nbsp;</li></ul><ul><li>Minimum 2-years’ experience with Python development with web frameworks &nbsp;</li></ul><ul><li>Minimum 2-years’ experience working with Object Oriented Programming (OOP) and Service Oriented Architecture &nbsp;</li></ul><ul><li>Experience planning, analyzing, designing, implementing, testing, and maintaining software applications for an enterprise level system.  &nbsp;</li></ul><ul><li>Experience using industry guidelines and best practices for developing software including Git, Agile methodologies, CI/CD, and automated deployments. &nbsp;</li></ul><ul><li>Excellent verbal and written communication skills &nbsp;</li></ul><ul><li>Eligibility for a security clearance is required</li></ul><p><strong>Preferred:</strong>&nbsp;</p><ul><li>Master’s degree in Computer Science, Software Engineering, Information Systems, or related field &nbsp;</li></ul><ul><li>Knowledge of Node.js and javascript programming language  &nbsp;</li></ul><ul><li>Knowledge of Postgres &nbsp;</li></ul><ul><li>Experience developing applications for classified data &nbsp;</li><li>Experience integrating machine learning and analytical tools &nbsp;</li></ul><p>Target salary range: $109,986 - $189,154</p><p>The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Full-Stack Engineer

<br><h4>Overview</h4><p>LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</p><p>Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</p><p><strong>*This position is currently full-time onsite at the customers Washington DC office.&nbsp;</strong>&nbsp;</p><h4>Responsibilities</h4><ul><li>Identify opportunities where AI/ML or modeling and simulation can generate business insights or improve business processes&nbsp;</li></ul><ul><li>Develop and implement digital and analytic approaches&nbsp;</li></ul><ul><li>Work with product designers, application developers, infrastructure engineers, and other data scientists to integrate predictive and prescriptive models with web-based applications&nbsp;</li></ul><ul><li>Research algorithms in machine learning to identify viable approaches to meet business requirements&nbsp;</li></ul><ul><li>Apply machine learning methods, such as natural language processing (NLP), computer vision, regression, clustering, classification, and deep learning&nbsp;</li></ul><ul><li>Design solution prototypes that connect to data sources and deploy through services, such as service functions in web applications or application programming interfaces (APIs)&nbsp;</li></ul><ul><li>Become familiar with DevSecOps principles to continuously deliver high-quality software&nbsp;</li></ul><ul><li>Work with Docker to develop and deploy containerized versions of models&nbsp;</li></ul><ul><li>Participate in design and code reviews, and collaborate with a strong, passionate engineering team&nbsp;</li></ul><ul><li>Provide input to UX/UI designers and front-end application developers on how to effectively deliver model outcomes to users&nbsp;</li></ul><ul><li>Interface with customer stakeholders to provide technical explanations and support&nbsp;</li></ul><h4>Qualifications</h4><ul><li>Pursuit of a Bachelor's degree (Graduate student highly preferred) in engineering, mathematics, computer science, or related technical discipline required.&nbsp;</li></ul><ul><li>Currently enrolled in a Graduate (Masters) program highly preferred&nbsp;</li></ul><ul><li>Pursuing a post-graduate or undergrad degree in engineering, mathematics, computer science, modeling and simulation, operations research, or related technical discipline&nbsp;</li></ul><ul><li>Must be able to work for a minimum of 10-12 weeks beginning in Summer 2026 (May/June)&nbsp;</li></ul><ul><li>Comfortable working with agile teams, developing prototypes and functionality in short development sprints&nbsp;</li></ul><ul><li>Ability to work independently and collaborate effectively with a project team in an agile research and development environment&nbsp;</li></ul><ul><li>Comfortable using Atlassian products, including JIRA, Bamboo, Confluence, FishEye, Crucible, and Bitbucket&nbsp;</li></ul><ul><li>Ability to think critically to propose tractable solutions to complex problems&nbsp;</li></ul><ul><li>Effective written and verbal communication skills&nbsp;</li></ul><ul><li>Ability to communicate complex concepts to both technical and business-focused audiences&nbsp;</li></ul><ul><li>Familiarity or desire to excel with modern programming languages appropriate for machine learning prototyping; Python is preferred, but experience with other languages such as Java, C++, C#, JavaScript and R demonstrate the necessary ability&nbsp;</li></ul><ul><li>Familiarity with the underlying mathematics of machine learning&nbsp;</li></ul><ul><li>Knowledge of data structures and data management principles, methods, and tools&nbsp;</li></ul><ul><li>Desire to explore machine learning frameworks and libraries, such as scikit-learn, TensorFlow, and Spark ML&nbsp;</li></ul><ul><li>Ability to work with integrated development environments, such as Jupyter, JupyterLab, JetBrains IntelliJ IDEA, JetBrains PyCharm, JetBrains CLion, and Visual Studio Code&nbsp;</li></ul><ul><li>Ability to collaborate with a team that develops applications using web development frameworks, such as Angular (1.x/2+), React, and Ember, and server frameworks, such as Node.js and Express.js&nbsp;</li><li>Ability to consume or interface with cloud computing and storage services, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud&nbsp;</li><li>Familiarity or desire to become familiar with containerization technologies, such as Docker, Kubernetes, Amazon Elastic Container Service (ECS), and Amazon Elastic Kubernetes Service (EKS)&nbsp;</li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

AI Engineer Intern (USPS) - Summer 2026

<br><h4>Overview</h4><p>The Cloud Engineer will play a critical role in the successful modernization and implementation of a variety of cloud deployments for our US Army Client. This position requires a seasoned professional with deep technical expertise in cloud computing, specifically in designing scalable, secure, and resilient cloud solutions aligned with Army Standards. The Cloud Engineer will lead cloud architecture efforts, ensuring workloads are optimized for performance and future scalability within Army’s environments. The successful candidate will have a deep technical expertise in cloud deployments paired with deep subject matter expertise in how the US Army operates, builds and deploys software.&nbsp;</p><p>LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</p><p><br>Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</p><h4>Responsibilities</h4><ul><li>Design, develop, and implement scalable, secure, and resilient cloud solutions aligned with Army Standards, ensuring workloads are optimized for performance and future scalability within the ECMA environment&nbsp;</li><li>Collaborate with Army stakeholders to ensure the successful integration of cloud solutions into the Army's existing IT infrastructure&nbsp;</li><li>Develop and maintain technical documentation, including system architecture diagrams, technical specifications, and user manuals&nbsp;</li><li>Provide technical guidance and support to Army personnel and contractors working on cloud solutions&nbsp;</li><li>Stay abreast of emerging cloud technologies and Army Standards, and recommend changes to the cloud environment as needed&nbsp;</li><li>Ensure compliance with Army cybersecurity standards and best practices&nbsp;</li><li>Support the team lead to ensure the implementation of best-of-breed technologies while mitigating risks&nbsp;</li><li>Provide input and guidance to optimize cost-efficiency and prevent cost overruns&nbsp;</li><li>Provide regular status reports to senior Army leaders and LMI management&nbsp;</li></ul><h4>Qualifications</h4><ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field. A Master's degree is highly desirable&nbsp;</li><li>At least 10 years of experience in cloud computing, including experience with cloud architecture, cloud security, and data architectures&nbsp;</li><li>Expertise in Army Standards and requirements for cloud computing&nbsp;</li><li>Experience working with Army stakeholders and contractors&nbsp;</li><li>Excellent communication and interpersonal skills, with the ability to communicate complex technical concepts to non-technical stakeholders&nbsp;</li><li>Experience with Army cybersecurity standards and best practices&nbsp;</li><li>Experience with various cloud service providers&nbsp;</li><li>Experience building in modern software stacks using containerization, IaC, monitoring and management tools, load balancing and auto-scaling and disaster recovery&nbsp;</li><li><strong>Active Secret clearance desired or the ability to obtain a clearance. </strong>Please note: only US citizens are eligible to obtain a clearance.&nbsp;</li><li>No specific certifications are required; however, various certifications may be relevant though the list is not inclusive&nbsp;<ul><li>Solution Architect&nbsp;</li><li>Cloud Architect&nbsp;</li><li>Cloud Systems Admin&nbsp;</li><li>Security+&nbsp;</li><li>Cloud+&nbsp;</li></ul></li></ul><p>Target salary range: $143,000 - $190,000. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Senior Cloud Engineer - Clearance Desired

<br><h4>Overview</h4><p>LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</p><p>Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</p><p><strong>*This position is currently full-time onsite at the customers Washington DC office.&nbsp;</strong>&nbsp;</p><h4>Responsibilities</h4><ul><li>Collaborate with Development Teams&nbsp;</li></ul><ul><li>Work closely with software engineers, designers, and product managers to develop and refine web or mobile applications.&nbsp;</li></ul><ul><li>Assist in Designing, Coding, and Testing Software Solutions&nbsp;</li></ul><ul><li>Participate in writing clean, efficient, and maintainable code for assigned projects using languages such as Java, JavaScript, Python, or R.&nbsp;</li></ul><ul><li>Research and Evaluate New Technologies&nbsp;</li></ul><ul><li>Explore innovative tools, frameworks, and approaches to enhance software development practices and propose potential integrations.&nbsp;</li></ul><ul><li>Contribute to DevSecOps Practices&nbsp;</li></ul><ul><li>Assist in implementing CI/CD pipelines, containerization using Docker, and other DevSecOps tools to ensure secure and efficient software delivery.&nbsp;</li></ul><ul><li>Participate in Code Reviews&nbsp;</li></ul><ul><li>Engage in peer code reviews to provide and receive constructive feedback for improving code quality and consistency.&nbsp;</li></ul><ul><li>Present Progress and Findings&nbsp;</li></ul><ul><li>Prepare and deliver presentations or demos of your work during team meetings or project reviews to highlight progress and insights.&nbsp;</li></ul><ul><li>Debug and Troubleshoot Issues&nbsp;</li></ul><ul><li>Identify, investigate, and resolve software bugs and performance issues in collaboration with the development team.&nbsp;</li></ul><ul><li>Document Work and Learnings&nbsp;</li></ul><ul><li>Maintain clear documentation of project work, processes, and learnings to ensure knowledge transfer and continuity.&nbsp;</li></ul><p>&nbsp;<br></p><h4>Qualifications</h4><ul><li>Pursuit of a Bachelor's degree (Graduate student highly preferred) in engineering, mathematics, computer science, or related technical discipline required.&nbsp;</li></ul><ul><li>Currently enrolled in a Graduate (Masters) program highly preferred&nbsp;</li></ul><ul><li>Pursuing a post-graduate or undergrad degree in engineering, mathematics, computer science, modeling and simulation, operations research, or related technical discipline&nbsp;</li></ul><ul><li>Must be able to work for a minimum of 10-12 weeks beginning in Summer 2026 (May/June)&nbsp;</li></ul><ul><li>Experience with Software Development&nbsp;</li></ul><ul><li>Familiarity with developing web applications or mobile applications. Coursework or personal projects demonstrating these skills are highly valued.&nbsp;</li></ul><ul><li>Proficiency in Programming Languages&nbsp;</li></ul><ul><li>Proficient in one or more programming languages, such as Java, JavaScript, Python, or R. Hands-on experience through coursework, internships, or personal projects preferred.&nbsp;</li></ul><ul><li>Knowledge of Software Development Tools and Practices <em>(Preferred)</em>&nbsp;</li></ul><ul><li>Exposure to tools like Docker, Kubernetes, or DevSecOps pipelines is a plus.&nbsp;</li></ul><ul><li>Familiarity with Version Control Systems&nbsp;</li></ul><ul><li>Experience using Git or similar version control systems for collaborative software development.&nbsp;</li></ul><ul><li>Understanding of Agile Development <em>(Preferred)</em>&nbsp;</li></ul><ul><li>Familiarity with Agile methodologies and tools like JIRA or Trello for managing tasks and sprints.&nbsp;</li></ul><ul><li>Strong Problem-Solving Skills&nbsp;</li></ul><ul><li>Ability to think critically and approach software development challenges with creative solutions.&nbsp;</li></ul><ul><li>Bonus Skills <em>(Preferred)</em>&nbsp;</li></ul><ul><li>Knowledge of cloud platforms (e.g., AWS, Azure, or Google Cloud), database management systems, or UI/UX design principles is advantageous but not required.&nbsp;</li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Software Engineering Intern (USPS) - Summer 2026

<br><h4>Overview</h4><p>LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</p><p>Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</p><p>LMI is seeking a Advanced Analytics Team Lead to support an Intelligence Community client. This position will be located in Washington, DC or Reston, VA.</p><h4>Responsibilities</h4><p>Responsible for overseeing a team of data engineers and data scientists to modernize data pipelines and data warehouses, while delivering business analytics support through machine learning, statistical analysis, causal analysis, and modeling and simulation.</p><ul><li>Lead and collaborate with a team of data engineers, data scientists, data analysts, and business/functional SMEs to understand processes, define analytical requirements, and communicate results.</li><li>Modernize and maintain data pipelines, data warehouses, and related infrastructure to ensure scalable, reliable, and efficient operations.</li><li>Frame and scale data problems; integrate, consolidate, and analyze complex datasets for business analytics.</li><li>Build and validate models using machine learning, simulation, causal, rule-based, and statistical methods.</li><li>Transform data into visualizations, dashboards, and analytic narratives that support storytelling and decision-making.</li><li>Provide timely analysis and reporting in a fast-paced, client-focused environment.</li><li>Deliver technical and process consulting through management of standard consulting projects.</li><li>Advise non-technical stakeholders on interpreting and applying data products, dashboards, and reports.</li><li>Manage relationships with key stakeholders to ensure alignment of analytical solutions with organizational goals.</li><li>Contribute to the organization’s data engineering and advanced analytics strategy, roadmap, and data governance practices.</li><li>Oversee project timelines, deliverables, and resources, ensuring completion on time, within budget, and to quality standards.</li><li>Stay current with advancements in data engineering, analytics, and data science; mentor junior team members across both DE and DS disciplines, providing technical guidance to build overall team capability.</li></ul><h4>Qualifications</h4><p><strong>Education:</strong></p><ul><li>Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related quantitative discipline is required.</li><li>Advanced degree (master’s or Ph.D.) in a relevant field is preferred.</li></ul><p><strong>Experience:</strong></p><ul><li>5-10 years of relevant experience, with at least 2 years leading data engineering or data science teams as a technical lead or task lead.</li><li>Proven track record of managing and delivering complex data pipelines and analytical projects.</li><li>Hands-on experience developing with Python and SQL for data pipelines, data integration, and analytics.</li></ul><p><strong>Technical Skills:</strong></p><ul><li>Proficiency in Python and SQL is required.</li><li>Strong working knowledge of relational databases; preferred experience includes database optimization, schema design (e.g., star/snowflake), and linking analytic/visualization products to database connections.</li><li>Experience with ETL/ELT processes, pipeline development, and data integration methods.</li><li>Familiarity with data science libraries in Python.</li><li>Experience building data visualizations, dashboards, and lightweight applications to communicate findings and drive business impact.</li><li>Experience displaying analytical results using platforms such as Tableau, Streamlit, Qlik, Power BI, RShiny, Plotly, or D3.js. Tableau&nbsp; and Streamlit preferred.</li><li>Additional experience with programming languages such as Java, R, or MATLAB is a plus.</li><li>Familiarity with data engineering and data science methods including data transformation, feature engineering, predictive analytics, and (preferred) unstructured text/NLP.</li></ul><p><strong>Leadership and Interpersonal Skills:</strong></p><ul><li>Superior communication skills, both oral and written, with the ability to convey complex data engineering and data science concepts to non-technical stakeholders.</li><li>Demonstrated ability to mentor and develop junior team members across both DE and DS disciplines.</li><li>Strong stakeholder management skills, with the ability to build and maintain relationships across the organization.</li><li>Proven ability to balance technical modernization efforts with stakeholder-facing analytics delivery.</li><li>Ability to work in a fast-paced, solutions-oriented environment.</li><li>Strong analytical and problem-solving skills with a focus on practical outcomes.</li><li>Detail-oriented with a commitment to delivering high-quality work.</li><li>Ability to work both independently and as part of a collaborative team.</li></ul><p>This position requires an active <strong>TS/SCI security clearance with polygraph</strong>. Applicants with <strong>TS/SCI who are eligible for polygraph are encouraged to apply and will be sponsored for upgrade.</strong></p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Analytics and Data Engineering Team Lead - TS/SCI Required

<br><h4>Overview</h4><p>LMI is looking for an experienced Platform Engineer with an active SECRET clearance or above and a minimum 5-years of experience to support a strategic Department of War organization with transforming how the DOW tracks assets worldwide.</p><p>LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</p><p><br>Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</p><h4>Responsibilities</h4><ul><li>Design, deploy, and manage the logical infrastructure that applications will run on (Platform as a Service – PaaS).</li><li>Ensure all new software functions smoothly across various programs and platforms, including mobile systems.</li><li>Automate the testing, deployment and configuration management processes.</li><li>Maintain the underlying infrastructure including hardware, software, and storage resources to ensure the infrastructure’s reliability, scalability, and security.&nbsp;</li><li>Maintain the overall health and stability of the PaaS and the applications that run on it.</li><li>Configure and deploy containerized applications using Docker &amp; Kubernetes.</li><li>Write original code and update existing code, ensuring that all code meets program requirements.</li><li>Perform intensive testing of all new and existing programs to ensure they are free of errors and function as intended.</li><li>Update and debug existing systems to ensure a smooth user experience and a uniform look across a variety of platforms.</li><li>Optimize new and existing programs for mobile use, including smartphones and tablets.</li></ul><h4>Qualifications</h4><p>Qualifications:</p><ul><li>Ability to obtain a Secret Clearance.</li><li>Bachelor's degree in Computer Science or related technical field.</li><li>STEM Bachelor's degree in Computer Science or related technical field.</li><li>Minimum of 2 year’s experience planning, analyzing, designing, implementing, testing, and maintaining software applications for an enterprise level system.</li><li>Expertise in designing, analyzing, and troubleshooting large-scale distributed systems.</li><li>Experience architecting and developing software/infrastructure for scalable, secure, and distributed systems on Hybrid or Multi-cloud environments.</li><li>Experience using AWS Code Pipeline / Code Deploy for CI/CD and automated deployments.</li><li>Experience with Terraform, Cloudformation, Ansible playbooks, and/or Linux automation scripts.</li><li>Experience with rudimentary APIs or automation scripts to interact with existing APIs.</li><li>Competency with at least one software development programming languages (C# or similar).</li><li>Strong familiarity using Linux toolsets to support and analyze network related topics and issues.</li><li>Demonstrated experience with Amazon Web Services (AWS).</li><li>Experience managing, administrating, configuring, deploying, and maintaining environments and system integration tools, including Kubernetes, Rancher, Helm, &amp; Grafana.</li><li>Knowledge of systems monitoring, alerting and analytics at the container level with APM or other tools, including Splunk, ELK, and Prometheus.</li><li>Knowledge of IDAM requirements and technologies including Active Directory, SAML, OpenLDAP, hardware tokens, OAuth 2.0, and/or OIDC.</li><li>Certified Kubernetes Application Developer (CKAD) or Certified Kubernetes Administrator certification.</li><li>Previous government technology experience.</li><li>Experience with Agile development methodologies and working with Agile teams.</li></ul><p>Preferred:</p><ul><li>Master's degree in Computer Science or related technical field</li><li>Knowledge of the Army software development process and its technologies</li><li>Previous experience obtaining an ATO for a PaaS</li><li>Experience and/or understanding of US Navy processes, business systems, and command and control policies and procedures.</li><li>AWS Solutions Architect Associate or Developer Associate certification</li></ul><p> Target salary range: $150,000.00 - $220,000.00.&nbsp;</p><p>The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.</p><p>#LI-SH1</p><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Platform Engineer - Clearance Required

<br><h4>Overview</h4><p>LMI is seeking a <strong>Senior Data Engineer</strong> supporting Special Operations Command (SOCOM) on-site in Crystal City. The position involves providing big data ETL support on classified data and systems to directly support client mission. <strong>This position requires an active Top Secret SCI Clearance, for which you must be a US citizen.</strong></p><p>LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.</p><p>Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and civilian sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.</p><h4>Responsibilities</h4><p><strong>Responsibilities will include:</strong></p><ul><li>Design, develop, and implement scalable data pipelines and ETL processes using Apache Airflow</li><li>Implement and optimize Python-based data processing solutions.</li><li>Utilize Trino for distributed SQL query processing.</li><li>Develop messaging solutions utilizing Kafka to support real-time data streaming and event-driven architectures.</li><li>Build and maintain high-performance data retrieval solutions using ElasticSearch/OpenSearch.</li><li>Integrate batch and streaming data processing techniques to enhance data availability and accessibility.</li><li>Ensure adherence to security and compliance requirements when working with classified data</li><li>Work closely with cross-functional teams to define data strategies and develop technical solutions aligned with mission objectives.</li><li>Deploy and manage cloud-based infrastructure to support scalable and resilient data solutions, including AWS S3.</li><li>Optimize data storage, retrieval, and processing efficiency, focusing on big data.</li></ul><h4>Qualifications</h4><p><strong>Required Skills</strong></p><ul><li>Bachelor’s degree or higher in data engineering, computer science, data science, or similar</li><li>At least 5 years of experience in data engineering or related work</li><li>Expert in Python with significant on the job experience</li><li>Advanced proficiency in SQL (especially Postgres and/or Trino) with significant on the job experience</li><li>Significant experience with big data technology and ETL</li><li>Experience with Airflow (or equivalent) as an ETL workflow technology</li><li>Experience with Kubernetes as an operating environment and Helm as infrastructure management</li><li>Experience with AWS or equivalent cloud based services (e.g. S3 or S3-like services)</li><li>Active Top Secret SCI Clearance, for which you must be a US citizen</li></ul><h4>Desired Skills</h4><ul><li>Experience with Postgres or Trino</li><li>Experience with Apache Iceberg, Hive, HDFS, or Spark</li><li>Previous DOD experience</li><li>Active CI Poly</li></ul><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

Senior Data Engineer - Clearance Required

<br><h4>Overview</h4><p>LMI is seeking a skilled Senior Network Engineer to support our Enterprise Technology Services Infrastructure Solutions group. This position is a subject matter expert, capable of designing, engineering, testing, implementing, and managing information technology (IT) networking systems and services. The ideal candidate must have strong container security knowledge and experience supporting application developers with CI/CD pipelines, infrastructure as code, and cloud-native deployment strategies well as real-world experience with implementing wired and wireless networking solutions to include routers, switches, firewalls and load balancers. Additionally, the successful candidate will have working knowledge of implementing and administering digital certificates.</p><p>The position will report to the Network Engineering Platform Lead.</p><p>LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.</p><p>We offer a generous compensation package with excellent benefits that start the first day of employment. Business casual dress, flex time, exercise facility, and tuition reimbursement are a few of our many work-life benefits available to our employees.&nbsp;</p><h4>Responsibilities</h4><ul><li>Responsible for engineering and implementing LMI’s networking capabilities to include being the engineering point-of-contact for resolving reported performance or delivery issues. Must be able to manage multiple and competing priorities with little supervision.</li><li>Responsible for producing network designs and engineering artifacts.</li><li>Responsible for ensuring that all networking solutions comply with industry and Government-mandated security protocols, controls, and best-practices; working closely with our InfoSec Team for documenting controls and providing metrics to comply with audits and performance levels.</li><li>Responsible for ensuring project deliverables are completed accurately and on time.</li><li>Responsible for escalating issues, problems, risks, and constraints to the appropriate levels for clarification and resolution.</li><li>Responsible for keeping abreast of new and emerging technologies.</li><li>Responsible for appropriate interactions with LMI’s internal or external clients as projects dictate.</li><li>Responsible for upkeep of IT equipment in support of LMI’s secure environment to include applying required STIGs on all network equipment.<p>&nbsp;</p></li><li>Required upkeep and maintenance of LMI’s two Datacenters.<p>&nbsp;</p></li><li>Required when needed to support all LMI’s remote office locations and technologies</li><li>Resonsible for maintaining of containerized platform that aids hosting of developer hosted containers.</li></ul><br><h4>Qualifications</h4><p><strong>Required Skills:</strong></p><ul><li>4+ years of experience designing, executing and supporting networking solutions.</li><li>Working knowledge of digital certificates and their administration.<ul><li>Experience with both internal Microsoft Certificate Authorities and external public certificates.</li></ul></li><li>Advanced experience with Palo and Cisco firewalls.<ul><li>Understanding routing protocols BGP, OSPF, EIGRP.</li><li>Understand NAT and ACL’s.</li></ul></li><li>Advanced experience with Cisco Switches and Routers.<ul><li>Knowledge of ISO-XE, NX-OS code.</li></ul></li><li>Advanced understanding authentication protocols.<ul><li>Radius and TACACS.</li><li>Experience with Cisco Identity Services Engine for authentication and authorization capabilities via MFA, wireless, and VPN.</li></ul></li><li>Experience with Wireless LAN Infrastructure.</li><li>Experience with F5 Load Balancer.<ul><li>Experience writing iRules and understanding of iRules.</li><li>Understanding of iApps, VIPs, nodes, pools and health check rules.</li></ul></li><li>Understanding of Windows or Linux operating systems.</li><li>Understanding of directory services (AD and LDAP).</li><li>Must be able to use Microsoft Office, Microsoft Visio, and other products to produce content and communicate with LMI leadership and clients.</li><li>Positive attitude and a strong commitment to delivering quality work.</li><li>Effective communication skills (written and verbal) to properly articulate complicated networking concepts to LMI leadership and customers.</li><li><strong>Ability to attain a government clearance up to and including Top Secret, for which you must be a US Citizen.</strong></li></ul><p><strong>Desired Skills:</strong></p><ul><li>Bachelor's degree&nbsp;in Computer Science, Computer Engineering, or Information Technology</li><li>Experience with Single Sign On, SAML – Attribute configuration for SAML assertion.&nbsp;&nbsp;&nbsp;Understanding of Kerberos and NTLM authentication</li><li>Certifications in Networking, AWS, Azure</li><li>Software Defined Networks in AWS engineering “Infrastructure as Code” constructs, with the mindset to “Automate Everything” in the AWS Cloud.</li><li>Virtualization technologies and migrations – VMWare, Hyper-V, KVM, etc.</li><li>Network monitoring using tools similar SolarWinds or Pingdom</li></ul><br><h4><br>LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to   race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact <a href="mailto:accommodations@lmi.org" target="_blank">accommodations@lmi.org</a><br>Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.<br><br><b>Need help finding the right job?</b><br></h4>We can recommend jobs specifically for you!Click here to get started.<br>

29 Engineering Jobs in Virginia