Research and development engineer jobs in Crofton, MD

Programmers.io is currently looking for a Product Engineer Onsite Role in McLean, Virginia, United States OPEN FOR C2C OR W2 Prompt Design Optimization Develop, test, and refine prompts for AI models to achieve accurate, context-aware outputs. Create reusable prompt libraries and guardrails for enterprise use cases. Salesforce AI Integration Leverage Salesforce Einstein and Agent force for predictive analytics, conversational AI, and automation. Collaborate with Salesforce architects to embed AI-driven workflows into CRM processes.AI Enablement Governance Define best practices for prompt engineering across teams. Ensure compliance with enterprise security, data privacy, and ethical AI guidelines. Managerial Responsibilities Lead and mentor team members, fostering collaboration and continuous learning. Manage stakeholder relationships and ensure timely delivery of AI initiatives. Oversee project planning, budgeting, and governance for AI-related programs. Cross-functional Collaboration Work closely with developers, architects, and business stakeholders to translate requirements into AI solutions. Conduct workshops and training sessions on effective prompt engineering. If you are interested, please apply or feel free to share your updated resume at ************************

An E-Learning and Analytics software company that straddles both federal and commercial sectors is hiring for a Senior Cybersecurity Engineer specializing in Risk Management Framework. Their platform takes company data like promotion rates, attrition, and more, and leverages predictive analytics and decision science to give leaders actionable insights. They are in need of a Senior Cybersecurity Engineer to lead the implementation of RMF across the organization, including both their federal and commercial arms. This person should be versed in everything from coordinating internal and 3rd party audits, cloud compliance, vulnerability scanning tools, POA&M's and Authority to Operate. This is a high visibility, high profile hire for the team. Because this person will be embedded both with commercial and DoD applications, this candidate must have a Secret Clearance. The role will be hybrid in Alexandria, VA. Required Skills & Experience: US Citizen with a Secret Clearance Bachelors Degree in Cybersecurity or related field Security+ Certification 5+ years of experience in RMF NIST 800-53 & NIST 800-171 Experience with vulnerability scanning tools (Nessus, ACAS, etc) Desired Skills & Experience: Masters Degree Experience leading RMF implementations Prior experience in DoD environment, working with Security Technical Implementation Guides, POA&M's, ATO's, FedRAMP's Experience working directly with stakeholders, great communication and presentation skills

We are seeking a Senior Okta Engineer to lead the design, implementation, and optimization of Okta-based authentication services for a large, federated U.S. government agency. This position plays a key role in modernizing identity and access management (IAM) within a complex, multi-tenant environment with rigorous security and compliance requirements. In this role, you will configure, maintain, and enhance Okta as a cloud-based authentication platform and identity provider for federal clients. You'll work in a fast-paced environment alongside a team of experienced Okta Engineers to deliver secure, scalable, and high-performing identity solutions. What You Will Do: Architect and deploy scalable Okta solutions for authentication, federation, and lifecycle management across multiple domains and agencies. Design and implement SSO, MFA, and adaptive access policies aligned with federal security standards. Integrate Okta with cloud and on-premise applications, including custom APIs and legacy systems. Collaborate with cybersecurity, infrastructure, and application teams to ensure seamless identity workflows. Monitor, troubleshoot, and optimize Okta performance and security posture.

Company - Our client is a rapidly growing cybersecurity services provider supporting Fortune 500 and financial institutions. Known for its deep technical expertise and white-glove customer delivery, this firm partners with some of the most recognized brands in the security space. Their customer for this engagement is a prestigious financial services institution headquartered in the Tysons, VA area. Job Title - Sr. Identity (IGA/PAM) Engineer Location - Hybrid: 3 days/week onsite in Tysons, VA; 2 days remote Role Type - Contract (6 months / 1,040 hours) Must Have Skills: 7+ years of progressive experience in Identity & Access Management (IAM) engineering and architecture 3+ years of hands-on enterprise experience deploying and managing IGA and PAM platforms Proven background in Enterprise IAM environments Deep experience with the Saviynt platform, including both IGA and Cloud PAM modules Expertise integrating IGA/PAM systems with systems like Active Directory, cloud services, databases, and custom apps using connectors and APIs Responsibilities and Job Details: Lead the engineering, integration, and administration of Saviynt IGA, including workflows, lifecycle management, and application onboarding Design and support the Saviynt Cloud PAM module for privileged access, session recording, and auditing Own the full lifecycle of IGA and PAM platforms, including upgrades, patching, and maintenance Develop and maintain access certification, SoD, and role-based governance policies Function as a key technical member of the Enterprise IAM team, adhering to security and change management standards Act as a liaison between security and other departments, communicating technical requirements and risks effectively Provide Tier 3 support and root cause analysis for complex IAM issues Participate in off-hours support as needed, including on-call rotations Collaborate across development, infrastructure, audit, and business units Ensure high availability and performance of IAM systems through capacity planning Document and track technical implementations and decisions throughout project phases Adhere to strict security and compliance requirements in a financial enterprise setting

TechTrend is seeking a talented Senior AI Engineer to join our AI Rapid Innovation team. Using a modern technology stack and agile approach, in this role you will have the opportunity to lead the development and prototyping of cutting-edge AI solutions that transform how our clients leverage artificial intelligence in their operations. Be a member of an environment that thrives on innovation and ideas of all members of the team. Our environment is highly collaborative and allows you the opportunity to continue building your skills through training and multiple diverse projects while mentoring and guiding technical team members. Duties and Responsibilities: · Lead the design, development, and prototyping of innovative AI solutions primarily using Google Cloud Platform (GCP) AI/ML services including Vertex AI, AI Platform, Document AI, and related technologies. · Partner with stakeholders, product teams, and technical leadership to rapidly solution and architect AI capabilities that address complex business challenges for major U.S. Government customers. · Provide technical leadership and mentorship to development team members, guiding best practices in AI/ML engineering, cloud architecture, and agile development methodologies. · Collaborate closely with business teams, data scientists, and IT professionals to translate business requirements into scalable, production-ready AI solutions. · Architect and implement end-to-end AI pipelines including data ingestion, model training, deployment, monitoring, and continuous improvement using GCP native services. · Develop proof-of-concepts and prototypes that demonstrate the art-of-the-possible with generative AI, large language models (LLMs), computer vision, natural language processing, and predictive analytics. · Leverage experience with Azure AI services (Azure OpenAI, Azure Machine Learning, Cognitive Services) to provide cross-cloud AI solutions when required. · Implement responsible AI practices including model explainability, bias detection, security controls, and compliance with industry standards and government regulations. · Work within DevOps/MLOps environments to automate infrastructure provisioning, model deployment, and monitoring using Infrastructure as Code (IaC) tools. · Create comprehensive technical documentation including architecture diagrams, API specifications, model cards, and operational runbooks for AI solutions. · Demonstrate a high degree of adaptability and willingness to take on varied responsibilities, often beyond the initial scope of the role, to meet evolving business needs and contribute to cross-functional initiatives. · Stay current with emerging AI technologies, tools, and best practices, and evangelize innovations within the team and to client stakeholders. Required Qualifications: · Bachelor's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or related technical field · 5+ years of hands-on software development experience with demonstrated expertise in Python, and familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, LangChain, or similar · 2+ years of experience in a technical leadership or team lead capacity, including mentoring developers and guiding technical decisions · Proven experience designing and deploying AI/ML solutions in Google Cloud Platform, with hands-on knowledge of Vertex AI, BigQuery ML, Document AI, or other GCP AI services · Strong understanding of machine learning fundamentals, model development lifecycle, and production ML system design · Experience with containerization (Docker, Kubernetes/GKE) and orchestration of AI workloads in cloud environments · Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) architectures for generative AI applications · Experience with API development and integration using REST, gRPC, or similar protocols · Strong problem-solving skills with ability to rapidly prototype and iterate on AI solutions Preferred Qualifications: · Google Cloud Professional Machine Learning Engineer or Professional Cloud Architect certification · Experience with Azure AI services (Azure OpenAI Service, Azure Cognitive Services) · Familiarity with generative AI platforms and frameworks (OpenAI API, Gemini, etc.) · Experience with data engineering tools and practices · Knowledge of AI security, model governance, and responsible AI practices Work Details: · Work Location: Hybrid - Must live within commutable distance to Reston, VA · Travel Requirements: Minimal travel (10% or less) · Job Type: Full-time Benefits: · Medical, Dental and Vision Insurance · Life, Short and Long-term Disability Insurance · PTO & All federal holidays off · 401(k) Plan (matching component included) · Free Gym Access at Headquarters TechTrend, Inc. is a Small Business providing IT products and services to both the government and commercial markets. We were founded in 2003 and continue to evolve as a leading provider of enterprise-wide services and technology solutions. TechTrend is a noted and trusted partner to our clients who seek our knowledge and guidance for their most critical and complex IT projects. TechTrend's mission is to provide comprehensive, enterprise-wide IT solutions to our clients' complex challenges. We serve as a liaison for positive organizational change by forming relationships and building bridges across functions, gaining buy-in from both leaders and end-users, and removing barriers to mission success. Our established processes ensure quality delivery of results by maximizing efficiency, productivity, and client satisfaction enterprise-wide.

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our internal Audit team and partners across the company to build and deploy proprietary solutions that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. You will: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Go, Scala, or Java At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies 6 years of experience designing, developing, delivering, and supporting AI services at scale 3 years of experience developing AI and ML algorithms or technologies using Python 2 years of experience with Retrieval Augmented Generation (RAG) Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. . click apply for full job details

PROJECT ENGINEER: COLUMBIA, MD MSP EXPERIENCE STRONGLY DESIRED Who Staffing is looking for a Project Engineer for a fulltime, direct hire opportunity with our client in Columbia, MD. The Project Engineer is a pivotal role in our client's managed services team, responsible for assisting their Centralized Services team with the design of their projects, then implementing, and overseeing IT projects for their clients. This position involves working closely with clients to understand their IT needs and delivering tailored solutions that align with their business objectives. Roles: Subject Matter Expert in various solutions, across multiple vendor technology. Supports Centralized Services in development and Implementation of client's Project Standards. Provides updates on Project Stages and Tasks to Client Success Manager and Project Manager. Provides stalled or delayed project tasks to Client Success Manager and Project Manager. Documentation Specialist, providing new articles and/or updating existing client documentation. Project Budget composition. Project - Scope of Work generation. Job Responsibilities: Project Management: Lead and manage IT projects from initiation to closure, ensuring they are completed on time, within budget, and to client satisfaction. Develop project plans, including scope, timeline, resources, and budget. Monitor project progress and adjust as necessary to ensure successful project completion. Technical Implementation and Support: Design and implement technical solutions such as network configurations, cloud migrations, cybersecurity measures, and software installations. Provide technical expertise and guidance in the selection and implementation of IT systems and services. Troubleshoot and resolve complex technical issues that arise during the project. Client Communication and Relationship Management: Maintain regular communication with clients, keeping them informed of project progress and addressing any concerns. Understand client requirements and provide recommendations based on their business needs. Build and maintain strong client relationships, ensuring high levels of customer satisfaction. Team Collaboration: Work collaboratively with other team members, including technicians, network engineers, and support staff. Provide mentoring and guidance to junior team members. Contribute to a positive and productive work environment. Quality Assurance and Compliance: Ensure the quality of services delivered meets both company and client standards. Maintain comprehensive project documentation for future reference and compliance with industry standards. Professional Development: Stay abreast of the latest trends and developments in IT and managed services. Engage in continuous learning and development to enhance technical skills and industry knowledge. Knowledge & Skills Required: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Candidates must have experience with some of the following technologies- Addigy, Apple Business Manager, Axcient, BlackPoint, Cisco, ConnectWise, Datto, DUO, Kaseya, Nerdio, Pax8, SentinelOne, Simeon, and SonicWall. Education and/or Experience: Bachelor's degree from four-year college or university; or five to seven years related experience and/or training; or equivalent combination of education and experience. Certificates, Licenses, Registrations: Relevant certifications (e.g., PMP, ITIL, Microsoft, Cisco) are advantageous. Experience, Education & Certifications Preferences: This position will be recommended to have before entering this position: 5-7 years of experience in IT systems design, implementation, and management. Proven track record of successfully delivering IT projects in a managed services or enterprise IT environment. Bachelor's degree in Computer Science, Information Technology, or related field. Microsoft 365 Certified: Enterprise Administrator Expert Required Skills and Qualifications: Strong understanding of IT systems, including networking, cloud services, and cybersecurity. Excellent problem-solving abilities and attention to detail. Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences. Ability to manage multiple projects simultaneously and work under pressure. Relevant certifications (e.g., PMP, ITIL, Microsoft, Cisco) are advantageous.

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support you by expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. We are looking for you to join our team as a Principal Mechanical Engineer based out of Linthicum, MD. Combat Sensors Hardware Engineering is seeking a self-motivated, experienced mechanical design engineer to support Receiver-Exciter, Processor and Wired Chassis program production efforts. Candidate must possess strong critical-thinking, communication and leadership skills to quickly and efficiently address various mechanical related issues and problems that occur. Candidate must also be able to organize, task and lead a team of supporting engineers through the various design and troubleshooting efforts that occur within the program. Frequent interaction with program management and functional leadership is expected and required with this position. Candidate should be able to provide detailed, clear and concise status reports and relevant information as required to program leadership. Candidate is expected to work closely with outside suppliers to develop solutions and process efficiencies related to program hardware. _This position description does not represent a current opening but may be used to identify candidates with skills and experience for positions within Northrop Grumman that frequently become available. Candidates who express an interest may be considered for future positions at Northrop Grumman._ _This position is contingent upon the ability to obtain/ maintain an active DoD Secret Clearance or the transfer of an Active DoD Secret Clearance and SAP clearance._ **Basic Qualifications** Bachelor's Degree with 5 years of experience, master's degree with 3 years of experience, Ph.D. with 1 years of experience in Science, Technology, Engineering, Mathematics or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. + U.S. Citizenship is required. + A current/active DoD Secret clearance + Ability to obtain Special Program Access (SAP) + The ability to work 100% onsite with the ability to travel 10-25% to various suppliers + Strong understanding of mechanical engineering principles and practices and the ability to work independently + Proficiency in 3D CAD software, especially NX: Demonstrated experience and expertise in using 3D CAD tools, focusing on NX software for detailed mechanical designs. + Knowledge of manufacturing processes and materials. + Knowledge and experience in Bill of Material (BoM) management and/or part management software suites (ISE, MPLM) + Innovative thinking to improve processes and designs and the ability to troubleshoot and resolve issues that arise during the manufacturing process. + Ability to coordinate with cross-functional teams to ensure program success. + Strong leadership skills to guide and mentor junior engineers. **Preferred Qualifications** + Previous experience in mechanical design, including designing components and systems, interpreting technical drawings, and ensuring compliance with specifications and standards. + Strong analytical and problem-solving skills to address technical challenges and develop innovative solutions from the subcomponent level to the final customer installation phase. + Effective communication skills to liaise with cross-functional teams, present technical designs and solutions, and manage projects efficiently from conception to completion. Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. _Our Values_ . The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. _Our Responsibility_ . At Northrop Grumman, we are committed to maintaining the highest ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. Primary Level Salary Range: $98,900.00 - $148,300.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday. If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Digital Engineering Department at the Applied Research Laboratory (ARL) is looking for a motivated and talented HPC/Linux R&D Systems Engineer to provide expertise in the design and operation of Linux-based infrastructure which powers high-performance compute environments and labs. You will support the operation and needs of our digital infrastructure via DevSecOps as well as third-party software tools and applications, provide strategies to design/architect, build, and efficiently maintain infrastructure plans based on business requirements and funding, as well as oversee the implementation of new system technologies. We support hybrid work. The successful applicant will be based out of our Reston, VA office. You will: Have deep knowledge of the Open Source and DevSecOps technology platform stack to include operating systems (Linux), virtual machines, networking, data storage and backups, software applications, containers (Docker), container orchestration engines (Kubernetes), as well as the high-performance computing stack Develop processes and practices for design, maintenance, continuity of operations (COOP), and secure operation of systems, all in compliance with US government and DoD standards Develop and mature compute and lab environment Cloud technologies Collaborate with leaders and stakeholders to analyze business needs to define and improve our architectural strategy Provide functional knowledge of systems and manage end user relationships with system and technical teams Conduct research on emerging technologies Recommend new technology solutions or create solutions for existing systems to increase performance, efficiency, reliability, and security Provide support for both new & existing systems, upgrades, and maintenance via CI/CD and CNCF DevSecOps technologies Serve as technical liaison with other departments and organizations to implement, integrate, review, and evaluate technologies and services Participate in the development, testing, and implementation of contingency plans Research, establish, and maintain architectural processes and documentation in electronic iterative formats and enforce key system engineering standards, policies, and/or procedures Lead and provide technical guidance to staff and teams These positions can be filled at multiple levels depending on education and experience. Minimally requires a Bachelors' degree in an engineering or science discipline plus 14 years' related experience or an equivalent combination of education and experience. Additional education and/or experience required for higher level positions. Required experience/knowledge include: Enterprise level architecture design and/or implementation of high-performance computing systems Exposure to or experience building & operating within a DoD environment, including knowledge of key NIST/ISO standards, DoD directives, and regulatory requirements (800-171/53 and STIGs) Preferred experience/knowledge includes: Automation of administrative tasks such as configuration and hydration of compute environments Containerization technologies to include Kubernetes, Docker and Podman Containerization technologies to include Kubernetes Linux administration, security, and networking, and virtual machine technologies DoD Architecture Frameworks (DoDAF) to protect data and infrastructure against threats Compliance with cybersecurity policies, standards, and regulations, including DoD and US government guidelines Developing and maintaining incident response plans and participating in incident response activities Ability to review, monitor and analyze system performance to detect and respond to abnormal activity The applicant selected will be subject to a government security investigation. You must be a U.S. Citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen. ARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas. FOR FURTHER INFORMATION on ARL, visit our web site at **************** **The proposed salary range may be impacted by geographic differential.** The salary range for this position, including all possible grades is: $123,200.00 - $219,600.00 Salary Structure - additional information on Penn State's job and salary structure. CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here. Employment with the University will require successful completion of background check(s) in accordance with University policies. EEO IS THE LAW Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact ************. Federal Contractors Labor Law Poster PA State Labor Law Poster Penn State Policies Copyright Information Hotlines Reston, VA

Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team's recent Llama 2. We are looking for strong engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. **Required Skills:** Research Engineer, Language - Generative AI Responsibilities: 1. Design methods, tools, and infrastructure to push forward the state of the art in large language models 2. Define research goals informed by practical engineering concerns 3. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results 4. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) 5. Work with a large and globally distributed team 6. Contribute to publications and open-sourcing efforts **Minimum Qualifications:** Minimum Qualifications: 7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8. Research experience in machine learning, deep learning, and/or natural language processing 9. Experience with developing machine learning models at scale from inception to business impact 10. Programming experience in Python and hands-on experience with frameworks such as PyTorch 11. Exposure to architectural patterns of large scale software applications **Preferred Qualifications:** Preferred Qualifications: 12. A PhD in AI, computer science, data science, or related technical fields. 13. Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 14. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). 15. Direct experience in generative AI and LLM research. **Public Compensation:** $85.10/hour to $251,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Get SAT is looking for a talented Integration Engineer to join our winning team. In this role, you will get deep into the products technology and act as the final approval before delivery to the customer, work in a fast-paced environment under tight deadlines, work close to R&D teams, and leverage your technical skills to grow and develop professionally. Responsibilities: * Integration, verification, configuration, and troubleshooting in lab and prod environments * Perform end-to-end tests to verify product integrations * Issue experiments and define / write testing protocols * Influence and optimize existing processes within the integration team * Support the operations department with integration and new requirements launches * Gather and analyze data to gain insight into product behavior * Work closely with R&D and production teams Requirements: * B.Sc in Electrical Engineering - a must * Experience in integration and multidisciplinary systems - a must * Experience in RF basics - a must * High level of English proficiency- a must * Experience with lab equipment (spectrum analyzer, network analyzer, power supply, etc.) - a must * Experience in networking - an advantage * A motivated team player who is creative, independent, and a fast learner with constant desire to approve.

Job DescriptionTechnology Development Engineer Type: Full Time Min. Experience: Entry Level Salary Range: $90,000 - $100,000 USD per year Advanced Technology & Research Corporation (**************** is seeking to fill the following full-time permanent position. Based in Maryland and incorporated in 1973, ATR is an equal-opportunity engineering company with a solid reputation in various engineering disciplines for the government and Fortune 500 commercial customers. Salary for the position is competitive according to qualifications. ATR offers an attractive comprehensive benefits package, including Medical/Dental insurances, free basic life/ADD, and long-term and short-term disability insurances, 401(k) plan, educational assistance program, and 5 weeks of paid leave per year for minimum seniority. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, disability or veteran status. Qualified persons should apply at: ********************************************************************* PRINCIPAL DUTIES AND RESPONSIBILITIES: The successful applicant will join ATR's Engineering Services Division, working as a Technology Development engineer at the Naval Surface Warfare Center, Indian Head Division, Indian Head, MD. You'll have an opportunity to work on world-class military programs that support the US Navy's Warfare technology as part of the Cartridge Actuated Devise/Propellent Actuated Device (CAD/PAD) Technology Development Branch. The applicant shall work with the Engineering team as part of an integrated product team. This role primarily consists of providing engineering support for CAD/PAD components. Other duties include, but not limited to: Conduct research and data analysis with an evaluation for compliance to specification requirements Participate and contribute to the team in developing project plans, testing plans, and for writing and briefing progress and results to upper management and sponsors Travel to various vendors and sponsor sites to participate in meetings, witness testing, and the review of documentation and site evaluation Analyze analog and digital circuits Participating in failure investigations Conduct and participate in systems Engineering Technical Reviews Reviewing and Developing Technical Data Packages EDUCATION & EXPERIENCE REQUIREMENTS: BS degree in Electrical, Aerospace, or Mechanical engineering 2+ years of engineering experience Internship experience with the Navy or other DoD laboratories is a plus Job experience with DoD is a plus SKILLS & ABILITIES REQUIREMENTS: Analytical skills with respect to mechanical drawings, schematics, and diagrams Experience in analog & digital circuit design Possess strong MS Office skills to include, MS Word, MS Excel, and MS Project Experience with MATLAB (or similar) and CAD (Creo or SolidWorks) is preferred Experience with working in teams and individually Experience with tracking and managing projects Experience handling multiple assignments and work in a dynamic environment Possess excellent verbal/written communications skills and attention to detail Experience with analysis report writing and weekly report writing Some travel required OTHER REQUIREMENTS: Candidate must be a US citizen with the ability to obtain and maintain a DOD security clearance or favorable adjudication of a national security background investigation. Current successful background investigation completion is a plus. Powered by JazzHR UT2AUmXF8U

Job Description Deep Learning R&D Software Engineer At Expedition Technology (EXP), we work on real-world problems whose solutions will make an immediate impact on national security. If you desire an opportunity where you will apply your deep learning and software engineering expertise to challenging problems with no previously known solutions, EXP is the place to be! Currently, we are seeking an experienced Deep Learning and Software Engineer who will work with a dynamic team that is delivering novel solutions to our Intelligence Community. We're looking for someone who has an in-depth understanding of DL architectures such as YOLOv8, Faster R-CNN, DETR, and other state of the art object detection models. The candidate should feel comfortable developing and testing end-to-end deployable systems; from sourcing and curating datasets, building, training, and evaluating models, to productizing final deliverables. As a DL Software Engineer, you will develop ML orchestration pipelines for novel Geospatial Object Detection problems, apply Sim-to-Real ML dataset techniques, design and implement custom algorithms and evaluation metrics, as well as produce technical reports. We're looking for someone who has experience in developing robust deep learning models against different types of ML-driven adversarial attacks. The candidate should feel comfortable developing novel methods and algorithms, applicable to electro-optical (EO) imagery, for the detection, explanation, and mitigation of a wide range adversarial attacks on overhead detection models that operate in close to real-time. If you feel fulfilled by rolling up your sleeves and thinking about hard problems, building new deep learning algorithms from scratch, and working in a fast paced but scientifically rigorous environment, we want to hear from you! Responsibilities include: Researching academic literature to keep abreast of the latest theories, techniques, and tools Working in a team to develop deep learning architectures and models for novel applications Implementing solutions in Python (PyTorch) Delivering high-quality, carefully tested software Participate in team brainstorming sessions to shape innovative solutions Required Skills and Experience: US Citizenship - must have an ACTIVE Top Secret / SCI Clearance An active Top Secret/SCI security clearance MS and 3+ years of experience or BS and 5+ years of experience in a technical field such as Computer Science, Electrical Engineering, Physics, Statistics, or Applied Mathematics Proven proficiency in PyTorch, TensorFlow, or other modern machine learning framework Solid theoretical understanding of deep neural networks as well as their applications, particularly in computer vision and object detection Proven experience architecting, training, testing, and deploying machine learning solutions within an AWS environment Experience using collaborative source code management tools (Git) Strong technical presentation and writing skills Strong software development skills to include object-oriented design and implementation in languages like Python Strong practical experience developing in both object oriented and procedural languages Experience with standard data structures, algorithms, and application organization Experience with the full software development lifecycle, CI/CD, agile/scrum methodologies Experience with software testing (unit, integration, functional, etc.) Exposure to software containerization with Docker, Linux, and cloud development Clearance Required: Top Secret/SCI Who is Expedition Technology? Expedition Technology (EXP) designs, develops, and delivers innovative, advanced signal, image, and multi-INT solutions for the defense and intelligence communities. We leverage advanced algorithms, platforms, and technologies to solve our customers' most complex, demanding, and urgent C4ISR challenges. Our culture promotes individual growth and opportunity, prioritizes a collaborative team spirit, and invites the intellectually curious to creatively solve challenging problems. Headquartered in Northern Virginia's high-tech corridor, EXP is a rapidly growing, privately held, employee-owned company that pushes the boundaries of what is possible every day. Interested in joining our team? Let's explore together. To learn more about EXP and discover why we are an award-winning workplace, visit our web site and follow us on LinkedIn. Join Our Team and Enjoy Exceptional Benefits! Expedition Technology (EXP) offers a flexible, self-directed benefits package that is designed to fit your individual needs. Here's a glimpse of the outstanding benefits you can enjoy when you join our team: Company-paid medical, dental, and vision insurance Generous Time Off: Enjoy 12 paid holidays, up to 33 days of PTO, and generous sick leave Robust 401(k) Plan: Benefit from up to a 12% company contribution, including a 3% safe harbor, 6% match, and up to 3% additional as a form of profit sharing. Student Loan Repayment: Take advantage of our unique option to reallocate a portion of your 401(k) match funds to repay student loans, helping you achieve financial freedom faster. Paid Parental Leave: Six weeks of paid leave for the primary caregiver and 2 weeks of paid leave for the secondary caregiver for you to bond with your new family member. Tuition Reimbursement: Pursue further education with up to $5,250/year available to support your continuous learning and growth. Referral Bonus Program: Earn rewards for bringing talented individuals into our team. Exclusive Entertainment Perks: Enjoy free tickets to sporting events, theater, concerts, and more, adding fun and excitement to your life. Onsite Amenities: Stay fit and healthy with our free, onsite fitness center, active workstations featuring treadmill and bike desks, and enjoy our onsite cafeteria with reduced-cost options. Inspiring Work Culture: Thrive in a collaborative, creative, and supportive culture where you are encouraged to push boundaries, take risks, and enjoy the rewards. Join us and be part of a team that values your well-being and professional growth. Apply today and take the first step towards a fulfilling career with us! EXP is proud to be an Equal Opportunity Employer that believes a diverse range of talent creates an environment that fosters creativity and innovation . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, genetic information, or protected veteran status.

Who YOU are and what YOU can become We are seeking a hands-on, cross-functional R&D Composites Engineer (Generalist) to join our Advanced Technology team, supporting new development projects. This role is ideal for a self-starter with a passion for materials innovation, rapid prototyping, and getting ideas into real-world hardware. You will work across materials research, tooling, testing, and manufacturing development to accelerate breakthrough composite technologies. You will collaborate with various internal functional groups and outside entities, such as research institutions and suppliers. The engineer should be self-driven, resourceful and highly collaborative. An ability to manage multiple projects within time constraints is required. Who WE are and where WE are going At ST Engineering MRAS, our employees have amazing opportunities to work on advanced technologies and systems that support thousands of customers and millions of people worldwide every day. From the first flight across the Pacific Ocean to developing highly complex structures for the most popular aircraft in the world, we have come a long way always with a can-do approach to problem solving while delighting customers with our high say-do ratio. We are looking for people with innovative ideas and the drive to help us grow into the future. A pioneer in the production and assembly of complex aerostructures including aircraft and rocket components, engine nacelle systems, thrust reversers and advanced composite products, we apply the latest digital technologies and automation in composite design and manufacturing that are second to none. At ST Engineering MRAS, we are also rapidly augmenting our maintenance, repair and overhaul (MRO) capabilities leveraging the company's expanded aircraft nacelle portfolio as well as it's materials and processing expertise. What YOU will do * Composite Part Design and Manufacturing * Design composite parts for R&D and technology demonstrators * Design and build tooling and fixtures for rapid prototyping * Create CAD models and engineering documentation * Fabricate tooling using additive manufacturing, CNC machining, and composite layup methods * Fabricate composite parts using automated and manual composite lay-up processes * Plan and perform testing, and iterate design based on test results * Generate test plan, test report, technical memos, and design recommendations * Project & Supplier Management * Coordinate R&D builds, material ordering, trials and schedules * Manage vendors, suppliers and external technology partners * Support team initiatives and resource planning What YOU must bring to Succeed * Minimum of Bachelor's degree in Mechanical, Materials, Manufacturing, Aerospace Engineering, or related field * Proficiency in CAD modelling (E.g. Solidworks, NX, CATIA, or equivalent) and familiarity with mechanical testing * Desire to work hands-on in lab and pilot manufacturing environments * This position involves access to export-controlled technology which requires U.S. Person status or government authorization. A 'U.S. Person,' as defined by 22 C.F.R. §120.62, includes U.S. citizens, U.S. nationals, individuals lawfully admitted for permanent residence (green card holders), and individuals granted asylum or refugee status in the United States. To be considered for this position, you must either be a U.S. Person or fall within a legally recognized export control exception or authorization. If hired, you will be required to provide valid proof of such status. Desired Characteristics * Experience in tooling fabrication processes * Familiarity with common composite fabrication techniques * Background in rapid prototyping and R&D environments * Familiarity with Python, MATLAB, or other automation tools * Strong analytical and problem-solving abilities * Hands-on mindset and eagerness to experiment * Effective communicator across engineering, manufacturing and sourcing teams * Comfortable working independently in a fast-paced, ambiguous environment * Creative, adaptable and proactive in finding solutions At ST Engineering, we offer great rewards, competitive pay, career advancement and growth opportunities. Estimate salary range for this role: $64,400 to $95,900 per year. ST Engineering considers several factors with extending job offers, including but not limited to candidates' key skills, relevant work experience, education/training/certification, job level, and work location. Base salary is only one component of our competitive Total Rewards package. ST Engineering - MRAS Benefits: As a full-time employee of ST Engineering- MRAS, you are eligible for our benefits package including: * Medical, Dental, and Vision coverage starting from start date * Health Flexible Spending Accounts * Free Onsite Gym with weekly fitness classes * Immediate 401k vesting * Educational Assistance * Life Insurance * Paid Time off (Permissive for exempt staff) Employment Notice: Background and Drug Screening Requirements As part of our commitment to maintaining a safe and secure workplace, successful completion of a background check and drug screening is a mandatory condition for employment. All offers of employment are contingent upon satisfactory results from these screenings. It takes diverse talent to solve real-world problems. ST Engineering is deeply committed to building a workplace community where inclusion is valued, and everyone feels welcomed. We're proud to consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, family status, marital status, sexual orientation, national origin, disability, age, or veteran status, or any other legally protected grounds. So, bring us your personal experience, your perspectives, and your background. It's through our differences that innovative changes are made. ST Engineering is committed to providing reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please contact our Talent Strategies team at ************, or by email at ***********************. Nearest Major Market: Baltimore Apply now "

Type of Requisition: Pipeline Clearance Level Must Currently Possess: Top Secret/SCI Clearance Level Must Be Able to Obtain: Top Secret/SCI Public Trust/Other Required: None Job Family: Cyber and IT Risk Management Job Qualifications: Skills: Research and Development, Security Research, Systems Engineering Certifications: None Experience: 8 + years of related experience US Citizenship Required: Yes Job Description: Join General Dynamics IT and be a part of a team that solve some of the world's most complex technical challenges. Seize your opportunity to make a personal impact as a Research and Development Engineer supporting MARFORCYBER located at Ft. Meade, MD. Our work depends on a Research and Development Engineer joining our team to deliver innovative solutions and conduct comprehensive technology research to evaluate potential vulnerabilities in cyberspace systems. HOW YOU WILL MAKE AN IMPACT Conduct software and systems engineering research to support the development of new cyberspace capabilities. Identify and analyze potential vulnerabilities in software, hardware, and firmware components. Perform threat modeling and risk assessments to uncover potential attack vectors and vulnerabilities. Evaluate the security posture of cyberspace systems, including network protocols, operating systems, and applications. Research and analyze emerging trends and technologies in cyberspace such as AI, ML, and IoT. Leverage cybersecurity tools such as vulnerability scanners, penetration testing frameworks, and SIEM systems. Collaborate with MARFORCYBER teams to translate research findings into actionable recommendations and solutions. Drive innovation in cyberspace capabilities by developing prototypes and proof-of-concept solutions. BASIC QUALIFICATIONS Bachelor's degree (Master's preferred); additional years of experience may be considered in lieu of degree 8+ years of experience in research and development, systems engineering, or cybersecurity fields. Experience in vulnerability analysis of software, hardware, and firmware. Knowledge of threat modeling methodologies and risk assessment frameworks. Proficiency with cybersecurity tools such as vulnerability scanners, penetration testing frameworks, and SIEM systems. Familiarity with operating systems, network protocols, and application-level security. Understanding of emerging technologies such as AI, ML, and IoT. TS/SCI (or eligible). PREFFERED SKILLS Experience conducting advanced research projects in a government or defense setting. Knowledge of MARFORCYBER and USCYBERCOM missions. Familiarity with advanced modeling, simulation, and prototyping tools. LOCATION On Customer Site - MARFORCYBER. (Hybrid/Remote may be considered with approval). GDIT IS YOUR PLACE Full-flex work week to own your priorities at work and at home 401K with company match Comprehensive health and wellness packages Internal mobility team dedicated to helping you own your career Professional growth opportunities including paid education and certifications Cutting-edge technology you can learn from Rest and recharge with paid vacation and holidays The likely salary range for this position is $212,500 - $287,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Hybrid Work Location: USA MD Fort Meade Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Dark Wolf Solutions is seeking to add a team of Security Research Engineers who can conduct software and systems engineering and software systems research in order to facilitate the development of new capabilities. Critical to this expertise will be the ability to conduct comprehensive technology research to evaluate potential vulnerabilities in cyberspace systems. This position requires full-time onsite work in Fort Meade, MD. Key Responsibilities: Identifying and analyzing potential vulnerabilities in software, hardware, and firmware components Conducting threat modeling and risk assessments to identify potential attack vectors and vulnerabilities Evaluating the security posture of cyberspace systems, including network protocols, operating systems, and applications Researching and analyzing emerging trends and technologies in cyberspace, such as artificial intelligence, machine learning, and Internet of Things (IoT) Experience with cybersecurity tools such as vulnerability scanners, penetration testing frameworks, and security information and event management (SIEM) systems Required Qualifications: 5+ years of relevant experience in reverse engineering At least 5 years of relevant experience with Software Development/Engineering 5 years of experience with Vulnerability Research Comfortably analyze and reverse engineer source code and binary code Programming Languages: C/C++, Python, Java, Bash, Rust, assembly Architectures: x86, x64, ARM32, ARM64 Reverse Engineering tools: Ghidra, IDA Pro, Binary Ninja, GDB, LLDB In-depth knowledge of various operating systems (including Windows, Linux/Unix, Android, and iOS) Comfortable reading and writing technical documentation and specifications B.A. or B.S. in Information Systems, Computer Engineering, or related discipline US Citizenship and an active TS/SCI security clearance with an active Counter Intelligence (CI) Polygraph. This position requires full-time onsite work in Fort Meade, MD. The estimated salary range for this position $140,000.00 - $180,000.00, commensurate on experience and technical skill set. We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

We are seeking experienced professionals to conduct innovative research in one or more areas, including material science and engineering, additive manufacturing, corrosion, modeling and nondestructive material characterization. Experience with aerospace structures, modeling and optimization, testing and sensing is preferred. Candidates with U.S. citizenship or legal permanent resident status is required. Job Duties · Conduct analytical studies, modeling and experimentation to guide design and manufacture of metallic and composite materials/structures. · Participate in the research and development of innovative sensors, algorithms and advanced solutions in the areas of nondestructive characterization of materials. · Pursue research in computational material science, material design, development and application, work closely with project managers and team members on research projects. · Successful candidates are expected to continue and expand existing programs and write research proposals for new research directions. Required Skills & Education · Strong knowledge background in material science (metallurgy and composites) and mechanical behavior of materials. · 3 years + experience in experimental and modeling of metal and composite material/structures. · Proficient in material characterization, testing, and behavior analysis. · Ph.D. or Master's degree in Material Science, Mechanical, Aerospace or related field. · Strong written and communication skills Preferred Skills · Experience in one or more of the following fields: additive manufacturing, composite materials, NDE, modeling and optimization. · Capability of Integrated Computational Materials Engineering (ICME), thermodynamic modeling, multiscale and multiphysics modeling. · Knowledge of FEM, meshless or particle based method. · Programming Languages: ANSYS/ABAQUS, Matlab, Labview, C/C++/C#, Python · Experience with technical report and proposal writing Candidates with U.S. citizenship or legal permanent resident status is required. About Us Intelligent Automation, Inc. (IAI) is a technology innovation company headquartered in Rockville, MD. We specialize in providing advanced technology solutions and R&D services to federal agencies and corporations throughout the United States and internationally. Leveraging agile R&D processes, a multidisciplinary collaborative environment and its substantial intellectual property portfolio, IAI excels in developing concepts into market-focused products and customer-driven solutions. IAI's core R&D areas include: Air Traffic Management, Big Data and Social Media Analytics, Control and Signal Processing, Cyber Security, Education and Training Technologies, Health Technologies, Modeling and Simulation, Networks and Communications, Robotics and Sensor Systems. IAI is seeking talented junior and senior level engineers and scientist to join our growing company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Established in 1991, Collabera is one of the fastest growing end-to-end information technology services and solutions companies globally. As a half a billion dollar IT company, Collabera's client-centric business model, commitment to service excellence and Global Delivery Model enables its global 2000 and leading mid-market clients to deliver successfully in an increasingly competitive marketplace. With over 8200 IT professionals globally, Collabera provides value-added onsite, offsite and offshore technology services and solutions to premier corporations. Over the past few years, Collabera has been awarded numerous accolades and Industry recognitions including. Collabera awarded Best Staffing Company to work for in 2012 by SIA. (hyperlink here) Collabera listed in GS 100 - recognized for excellence and maturity Collabera named among the Top 500 Diversity Owned Businesses Collabera listed in GS 100 & ranked among top 10 service providers Collabera was ranked: 32 in the Top 100 Large Businesses in the U.S 18 in Top 500 Diversity Owned Businesses in the U.S 3 in the Top 100 Diversity Owned Businesses in New Jersey 3 in the Top 100 Privately-held Businesses in New Jersey 66th on FinTech 100 35th among top private companies in New Jersey *********************************************** Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Job Description The main function of a Software Development Engineer in Test (SDET) is to develop and execute software test plans in order to identify software problems and their causes. Job Responsibilities: • Execute test plans, scenarios, scripts or procedures Test system modifications to prepare for implementation • Develop testing programs that address areas such as database impacts, software scenarios, or usability • Document software defects, using a bug tracking system, and report defects to software developers • Identify, analyze and document problems with program function, output, online screen or content • Monitor bug resolution efforts and track successes • Create or maintain databases of known test defects • Plan test schedules or strategies in accordance with project scope or delivery dates Qualifications: Bachelor's degree in a technical field such as computer science, computer engineering or related field required8+ years experience required Development and programming experience. Experience with automated testing tools and technologies Additional Information To know more about this position, please contact: Harish Rawat ************ *****************************

Twenty is seeking an exceptionally skilled Staff Offensive Cyber Research Engineer for an in-office position in its Arlington, VA office to lead the development of sophisticated offensive cyber capabilities that defend democracies worldwide. We're looking for someone with 6-8 years of deep technical expertise in offensive cyber operations, software development, and research, combined with proven leadership experience mentoring engineers and driving strategic technical initiatives. In this role, you'll architect and lead the development of advanced attack path frameworks, establish engineering best practices for offensive tooling, mentor junior researchers, and serve as a technical authority on adversarial techniques and red team operations. You'll leverage your extensive operational background-ideally from government/military Digital Network Exploitation Analysis (DNEA), Exploitation Analyst (EA) operations, advanced penetration testing, or threat intelligence analysis-to shape the technical direction of our offensive cyber capabilities and build the next generation of cyber technologies for the United States and its allies. About the Company At Twenty, we're taking on one of the most critical challenges of our time: defending democracies in the digital age. We develop revolutionary technologies that operate at the intersection of cyber and electromagnetic domains, where the speed and complexity of operations exceeds human cognition. Our team doesn't just solve problems - we deliver game-changing outcomes that directly improve national security. We're pragmatic optimists who understand that while our mission of defending America and its allies is challenging, we can succeed. Role DetailsTechnical Leadership & Architecture Lead the architecture and design of sophisticated attack path frameworks that emulate advanced persistent threat (APT) behaviors and nation-state TTPs Establish technical standards and best practices for offensive cyber tool development across the organization Evaluate and recommend engineering courses of action for new offensive capabilities and system enhancements Drive technical decision-making for complex offensive cyber integrations and performance optimizations Architect scalable, modular frameworks for attack technique automation and adversary emulation Research & Innovation Conduct advanced research into emerging adversary techniques, zero-day exploitation strategies, and novel attack vectors Develop proof-of-concept tools and techniques that push the boundaries of offensive cyber capabilities Stay current with threat actor innovations and translate emerging TTPs into defensive and offensive capabilities Publish internal research findings and contribute to the broader cyber security research community Identify capability gaps and lead initiatives to develop new offensive tools and methodologies Team Leadership & Mentorship Mentor and provide technical guidance to offensive cyber engineers and researchers, conducting thorough code reviews and knowledge transfer Lead technical discussions and facilitate strategic planning sessions for offensive capability development Organize research efforts and coordinate cross-functional collaboration with data engineering, backend, and intelligence analysis teams Establish and maintain engineering best practices, secure coding standards, and operational security procedures Guide junior engineers in understanding complex adversary behaviors and translating them into technical implementations Attack Path Development & Implementation Design and implement advanced attack paths that emulate sophisticated adversary campaigns across multiple domains Create reusable, production-grade components for complex attack techniques including credential harvesting, lateral movement, and defense evasion Develop custom tooling and automation frameworks that operate at machine speed for large-scale adversary emulation Data Engineering & Intelligence Integration Lead the design of ETL pipelines for processing threat intelligence, security logs, and operational data at scale Architect standardized schemas for cyber operations datasets that support graph-based analysis and AI/ML workflows Implement advanced data enrichment pipelines that integrate diverse threat intelligence sources Design efficient storage and retrieval systems for large-scale security-relevant data Operational Collaboration Work closely with government customers and operational teams to understand mission requirements and capability gaps Translate operational feedback into technical requirements and development priorities Lead technical demonstrations showcasing offensive cyber capabilities to stakeholders Provide subject matter expertise for customer engagements and strategic planning sessions QualificationsTechnical Skills & Experience 6-8 years of threat research, offensive cyber operations, and software development experience Expert-level operational cyber security experience in one or more of the following domains: Digital Network Exploitation Analysis (DNEA) within U.S. Government military or intelligence organizations Exploitation Analyst (EA) operations conducting advanced network exploitation and intelligence analysis Advanced Penetration Testing/Red Teaming leading sophisticated offensive security assessments Senior-level Threat Hunting and threat intelligence analysis in high-stakes environments Demonstrated technical leadership experience mentoring offensive cyber engineers and leading research initiatives Deep expertise in the MITRE ATT&CK framework with proven track record developing and implementing advanced adversary TTPs across multiple tactics Expert-level experience operating and extending industry-standard threat emulation platforms (Cobalt Strike, Metasploit, custom C2 frameworks) with proven ability to develop sophisticated custom payloads, modules, and evasion techniques Extensive experience integrating and analyzing diverse threat intelligence sources including commercial feeds, OSINT, and government intelligence Advanced proficiency in implementing sophisticated persistence mechanisms, advanced defense evasion techniques, counter-forensics, and anti-analysis methods Expert containerization and orchestration experience using Docker and Kubernetes for secure, scalable offensive tool deployment Advanced programming and software architecture skills in Python and Golang, with demonstrated ability to build maintainable, production-grade security tools and automation frameworks Expert-level experience writing complex graph queries and developing graph-based analytical tools using Neo4j or similar graph databases Comprehensive knowledge of cybersecurity across network security, application security, secure coding, cryptography, and security architecture Extensive practical experience in offensive cyber operations including advanced payload development, post-exploitation frameworks, command and control infrastructure, and multi-stage attack chains Expert knowledge of red team methodologies including campaign planning, operational security (OPSEC), adversary simulation, and realistic threat emulation based on intelligence-driven scenarios Leadership & Communication Skills Proven ability to lead technical projects and mentor engineering teams Strong communication skills with ability to explain complex offensive techniques to diverse audiences including executives and government officials Experience conducting thorough code reviews and establishing development standards for security tools Track record of driving technical decision-making and influencing strategic direction Education Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, or related field; Master's degree preferred, or equivalent practical experience Security Requirements Must be eligible to obtain a U.S. Government security clearance Distinguishing Qualifications Previous technical leadership experience in government cyber operations units or intelligence organizations conducting DNEA or EA operations Experience leading offensive cyber capability development programs or research initiatives Track record of developing novel offensive techniques or tools adopted by operational units Advanced certifications such as OSCP, OSCE, OSEE, GXPN, or government-recognized advanced offensive security credentials Experience with AI/ML integration in offensive cyber operations and automated threat emulation Extensive background in malware analysis, reverse engineering, exploit development, or vulnerability research Experience with multi-domain intelligence analysis correlating cyber, SIGINT, ELINT, and other intelligence sources Publications or conference presentations on offensive cyber research or techniques Contributions to open-source offensive security tools or frameworks Additional Skills Experience with Agile development methodologies and leading agile teams Advanced system architecture and design experience for large-scale security systems Performance optimization and scalability experience for high-throughput data processing Experience with cloud security (AWS, Azure, GCP) and cloud-native attack techniques Deep knowledge of wireless security, IoT protocols, and electromagnetic spectrum operations Expertise with forensics tools, incident response procedures, and defensive cyber operations Understanding of government acquisition processes and requirements development