Research and development engineer jobs in Virginia - 3,889 jobs

Application deadline: Applications will be accepted on an ongoing basis AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. At Amazon, we're working to be the most customer-centric company on Earth! Amazon is a place where builders can build. We hire the world's brightest minds and offer them an environment in which they can invent and innovate to improve the experience for our customers. The Data Center Infrastructure Operations organization is looking for an individual with proven skills to help support our Facility Operations Center. The Facility Operations Center is responsible for 24X7 monitoring of the data center's physical infrastructure. This team will ensure that the customer experience will be optimal and gratifying by way of consistency, reliability and attention to detail. The ideal candidate should have a basic understanding of Infrastructure, have proficient computer and communication skills. The successful candidate will be responsible for providing assistance and support to the onsite operations teams. The position will help ensure overall availability and reliability to meet or exceed defined service levels. If you are passionate about the customer experience; you think and act globally; and you want to contribute to the operational excellence of Amazon Data Centers, then this may be the place for you! This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities - Able to properly respond, acknowledge, investigate, and dispatch critical alarms - Monitor the facility infrastructure platform - Perform change management tasks; create and issue tickets - Follow verbal and written directions - Have an intermediate level of understanding of critical infrastructure and proficient computer and communication skills - Required shift-work, overtime, and/or rotating schedules to support a 24X7 environment (Rotating shift work equates to weekends, nights, holidays and overtime shifts) A day in the life The Facility Operations Center (FOC) serves as the centralized 24/7 remote monitoring center for AWS data center's critical physical facilities infrastructure systems. We support availability by assisting internal teams in communicating prompt and accurate alarm and event notifications. The FOC ensures safety across all AWS data centers by enforcing Change Management policies and is the communication hub during emergency and normal operations. About the team The Facility Operations Center (FOC) is a singular support team which proactively monitor the life-safety systems and the infrastructure equipment alarms (e.g., chillers, temperature sensors, generators, UPSs, Catcher, switchgear, breakers, PDUs, and ATSs) that provides power and cooling to the platform on a 24x7x365 basis. We support Data Center Engineer Operations teams who are responsible for the operation of infrastructure equipment. Our role is to ensure that critical alarms are properly Responded to, Acknowledged, Investigated, and Dispatched (RAID). Additionally, the FOC serves as a communications hub during both standard and emergency operations. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications - 1+ years of electrical or mechanical, or 1+ years of data center or mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience - Current, active US Government Security Clearance of TS/SCI with Polygraph Preferred Qualifications - 2+ years of data center engineering experience - 2+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The Colorado base pay for this position ranges from $75,900/year up to $132,800/year. The National base pay for this position ranges from $68,300/year in our lowest geographic market up to $152,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Agentic AI Machine Learning Engineer The Opportunity As an experienced machine learning engineer, you understand good software is more than just a good user experience. To compete in today's technical landscape, mission-oriented machine learning solutions must be architected, designed, and built to handle fast-moving data to seamlessly scale with infrastructure based on system usage and to expand based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and machine learning (ML) enabled solutions that help solve our toughest challenges facing the Defense and Intelligence sectors. On our team, you'll design, create, and implement complete AI systems that will transform client operations, increase data accessibility, and optimize AI and ML systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Additionally, you'll deepen your skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments. Ready to transform the Defense and Intelligence sectors with software systems to aid data accessibility and AI and ML operationalization? Join us. The world can't wait. You Have 3+ years of experience as a ML engineer and building production-grade ML solutions, including work involving Large Language Models (LLMs), agents, or complex automation frameworks 3+ years of experience working within data science or data research in a professional or academic environment and training or deploying models across multiple modalities of data 3+ years of experience working in cloud environments, including AWS and Azure 2+ years of experience deploying and integrating production-grade ML models using tools such as Docker and Kubernetes Experience with LLMs, Deep Learning (DL), and Reinforcement Learning (RL) and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex Experience connecting Agents to APIs, Cloud platforms, or databases Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use Experience with MLOps, GitOps, and CI/CD tooling Secret clearance Bachelor's degree Nice If You Have Experience with programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM Experience with client engagements, client-facing project work, and business development Experience with project work in deep learning, computer vision, NLP, or signal processing Experience deploying and managing data brokering solutions, including Kafka, Red Panda, Confluent, and other related services Ability to adapt in a rapidly changing environment Possession of excellent verbal and written communication skills Possession of excellent interpersonal, analytical, problem-solving, and organizational skills TS/SCI clearance Master's degree Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr

Your growth matters to us - explore our career development opportunities. BE EMPOWERED TO SUCCEED Connect with others in our people-first culture and enhance our collective ingenuity. SUPPORT YOUR WELLBEING Learn how we'll support you as you pursue a balanced, fulfilling life. YOUR CANDIDATE JOURNEY Discover what to expect during your journey as a candidate with us. Cyber Machine Learning Engineer Build, train, and package production-ready models to detect advanced persistent threats and anomalous or suspicious activity. Implement model performance observability to monitor and mitigate data drift, false positives, and resource utilization. Identify new opportunities for effective applications of machine learning to unique cyber defense use cases. Keep aware of latest research in machine learning and cybersecurity, and demonstrate a history of intellectual curiosity, as the problems we solve require creative solutions. Work on the cutting-edge of production systems for cybersecurity. Contribute to novel and impactful work, using your machine learning and cybersecurity expertise to enable and automate real-time detection and defense against threat actors, for both federal and commercial clients. Incorporate open-source tools, innovative methods, and cloud resources to cut down on false positive alerts and time to detection. Implement continuous integration and delivery to limit manual testing and troubleshooting. Build your experience in cyber defense and machine learning, while developing models and software that will defend the nation. Basic Qualifications: 2+ years of experience with cyber threat hunting and analysis of compromises within security telemetry such as endpoint and network data 2+ years of experience training and monitoring machine learning models for use with batch data and streaming data Experience using Python Experience with MLOps practices, including CI / CD Experience packaging and deploying production-level models using Docker or Kubernetes Experience with SIEM technologies such as Splunk or Elastic Stack Experience with MITRE ATT & CK framework, MISP threat sharing, or cyber intelligence platforms Experience with cloud platforms such as AWS or Azure Ability to obtain a Secret clearance Bachelor's degree Additional Qualifications: Experience with data engineering, including ETL pipelines and platforms such as Databricks Experience working with large language models (LLMs) Experience with agentic AI solutions and associated techniques and tools such as RAG Experience with AWS GovCloud Experience with Zero Trust security principles Experience with message brokers or streaming platforms such as Kafka, Amazon Kinesis, RedPanda, or RabbitMQ Possession of excellent problem‑solving skills Secret clearance Master's degree preferred; Doctorate degree a plus Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people‑first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non‑Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. 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 how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. 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. 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. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI 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 4901-4920; 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 ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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 ourweb siteand 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.

In today's rapidly evolving technology landscape, an organization's data has never been a more important aspect in achieving mission and business goals. Our AI & Data Exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques, given the challenge. At Steampunk, our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible. For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information. At Steampunk, you will design and develop solutions to high-impact, complex data problems, working with the best data practitioners around. Contributions We are looking for a seasoned Machine Learning Engineer to work with our existing team of Data Scientists and Engineers to use AI/ML technology in supporting Federal use cases. We are looking for more than just a "Machine Learning Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. Collaborate with cross-functional teams to design and develop machine learning models and algorithms to address business needs. Analyze and process large datasets to extract meaningful insights and patterns. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows. Optimize and fine-tune machine learning models for performance, scalability, and accuracy. Implement and maintain data pipelines to support machine learning workflows. Evaluate the effectiveness of machine learning models using appropriate metrics and validation techniques. Document processes, experiments, and results to ensure reproducibility and knowledge sharing. Deploy machine learning models to production environments and monitor their performance. Stay updated with the latest research and trends in AI to implement cutting-edge solutions. Support an Agile software development lifecycle. You will contribute to the growth of our AI & Data Exploitation Practice! Qualifications Master's degree and 3 years of relevant experience; OR Bachelor's degree and 5 years of relevant experience; OR No degree and 9 years of relevant experience. Possesses at least one professional certification relevant to the technical service provided. Maintain a certification relevant to the product being deployed and/or maintained. Ability to hold a position of public trust with the US government. 2-4 years industry experience developing ML/AI solutions and a passion for solving complex problems. 2-4 years industry experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Strong programming skills in languages such as Python. Solid understanding of statistical methods, data structures, and algorithms. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with big data technologies like Spark. Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. Experience with version control systems, such as Git, and continuous integration/continuous deployment (CI/CD) practices. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to work collaboratively in a team environment. Ability to manage multiple tasks and projects simultaneously while meeting deadlines. About Steampunk Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $115,000 to $150,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee-owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit ************************* We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program. #J-18808-Ljbffr

The Senior Project Construction Engineer will oversee and manage the engineering aspects of construction projects, ensuring projects are completed safely, on schedule, and within budget. This role works closely with project managers, superintendents, subcontractors, and design teams to provide technical guidance, solve complex construction challenges, and maintain high standards of quality. Key Responsibilities: Lead engineering and technical aspects of construction projects from pre-construction through closeout. Review plans, specifications, and contract documents for constructability and compliance. Collaborate with project managers and superintendents to ensure proper sequencing and resource allocation. Provide technical support and problem-solving for field teams. Monitor project progress and prepare reports on engineering issues, schedule impacts, and cost considerations. Ensure compliance with safety standards, building codes, and regulatory requirements. Mentor junior engineers and support professional development within the team. Qualifications: Bachelor's degree in Civil Engineering, Construction Engineering, or related field. Professional Engineer (PE) license preferred. Minimum 5-8 years of construction engineering experience, preferably in commercial or infrastructure projects. Strong knowledge of construction methods, materials, and engineering principles. Proficiency in construction management software and Microsoft Office Suite. Excellent communication, problem-solving, and leadership skills.

Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning. We are seeking Research Engineers to advance the state of the art in large-scale machine learning, spatiotemporal modeling, and multimodal reasoning. Our projects span object tracking, re-identification, geo-localization, chemical and biological defense, and scene understanding. You will work at the intersection of software engineering and applied research, turning novel algorithms into robust, deployable systems. Responsibilities: • Prototype and optimize algorithms in computer vision and machine learning. • Build scalable training and inference pipelines on cloud platforms (AWS EKS). • Perform data curation, model evaluation, and system integration. • Collaborate with academic and government research partners. Requirements: • BS or MS in Computer Science, Engineering, Applied Math, or related field. • Experience with PyTorch or TensorFlow and scalable model training. • Strong background in algorithms and software design. • Excellent communication and technical writing skills. • U.S. Citizen or Permanent Resident. Preferred: • Experience with geospatial data (PostGIS, GeoJSON, QGIS). • Familiarity with Kubernetes and distributed data systems. Why Novateur? Join a team that values creativity and initiative. Our engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications. Company Benefits: Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance. We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.

Senior Roadway Design Engineer page is loaded## Senior Roadway Design Engineerlocations: US.VA.Alexandria.1925 Ballenger Ave, Suite 400time type: Full timeposted on: Posted Todayjob requisition id: R-145601### **Job Description**## **Overview**We are seeking a**Senior** ***Roadway Design Engineer*** to join our team in **Alexandria, VA**area to help work on various highway projects.## **Your role***Assignments have clear and specified objectives and require the investigation of a limited number of variables. Duties usually include the following:** Plans, schedules, conducts, or coordinates detailed phases of the engineering work in a part of a major project or in a total project of moderate scope.* Performs preliminary engineering design and/or reviews the design and drafting work of junior engineers, designers or drafters.* Prepares cost and man-hour estimates, job budgets and schedules.* Prepares or oversees the preparation of final plans and reports and submits them for approval.* Conducts or oversees personnel involved in engineering investigations and planning work.* Coordinates work with other engineers and professionals within and outside own discipline, and with support services staff.* Plans, schedules and conducts or coordinates construction services on projects of moderate scope.* May occasionally assist in the management of projects.* May perform such other duties as the supervisor may from time to time deem necessary.## **About you*** B.S. or M.S. in Engineering. The typical incumbent has 6 to 10 years' experience since Bachelor's or 4 to 8 years' since Master's degree.* PE in VA, MD, and/or Washington DC required.* DOT and/or local municipality design experience in Virginia, Maryland, and/or Washington DC strongly preferred.## **Rewards & benefits**At AtkinsRéalis, our values-Safety, Integrity, Collaboration, Innovation, and Excellence-are more than just words. They are the foundation of who we are and how we work. These principles shape our culture, guide our decisions, and inspire us to create an environment where every team member feels empowered to grow, succeed, and make a meaningful impact.Depending on your employment status, AtkinsRéalis benefits may include medical, dental, vision, company-paid life and short- and long-term disability benefits, employer-matched 401(k) with 100% vesting, employee stock purchase plan, Paid Time Off, leaves of absences options, flexible work options, recognition and employee satisfaction programs, employee assistance program, and voluntary benefits. You can review our comprehensive benefits page .## **About AtkinsRéalis**We're , a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.## **Additional information****Expected compensation range is between $100,000 - $130,000** **annually depending on skills, experience, and geographical location.****AtkinsRéalis is an equal opportunity, Drug-Free employer EOE/Veteran/Disability**Please review AtkinsRéalis' Equal Opportunity Statement .AtkinsRéalis cares about your privacy and is committed to protecting your privacy. Please consult our on our Careers site to know more about how we collect, use and transfer your Personal Data. By submitting your personal information to AtkinsRéalis, you confirm that you have read and accept our Privacy Notice.**Note to staffing and direct hire agencies:**In the event a recruiter or agency who is not on our preferred supplier list submits a resume/candidate to anyone in the company, AtkinsRéalis family of companies, we explicitly reserve the right to recruit and hire the candidate(s) at our discretion and without any financial obligation to the recruiter or agency.### **Worker Type**Employee### **Job Type**Regular*At* *AtkinsRéalis**, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.* #J-18808-Ljbffr

# **Our Privacy Statement & Cookie Policy****About the Role** As a Generative AI and Machine Learning Engineer, you will be responsible for supporting product development efforts that range from generative AI and machine learning application development and deployment to model development and monitoring, ML management and DevOps. You will be a contributing member of a Software Engineering team that supports production applications and also helping to develop new features and models. The role will interface with internal and external stakeholders and provide continuity of technical and data-exploration expertise to ensure we are delivering a workable solution that meets the customer requirements and technical capabilities. The position requires a proactive, mission-oriented person who strives to produce the best possible work for the customer. As a **Generative AI and Machine Learning Engineer**, you will:* Experiment and Develop: You will drive the end-to-end model development lifecycle, championing best practices to ensure reproducible research and well-managed software delivery.* Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe. You will elevate and mentor teammates. You will work closely with product teams to see your work integrated and deployed into production environments.* Deliver: With a sense of urgency and the desire to work in a fast-paced, dynamic environment, you will translate complex business problems into projects with clearly defined scope. Our problems are complex; our solutions are right-sized. You will be accountable for timely, well-managed deliverables.* Innovate: You will be empowered to try new approaches and learn new technologies. You will foster innovative ideas to solve real-world challenges. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.* Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences. You will help lead the way in the adoption of AI across the enterprise.**About you** You're a good fit for the role of Generative AI & Machine Learning Engineer if you have:* Master's or Bachelor's in a relevant discipline. Relevant experience will be considered in lieu of a degree* Proficiency in Python* At least 3+ years practical, relevant experience building AI/ML products and applications and recent demonstratable experience using Generative AI technologies such as RAG patterns, ReAct, LangChain etc for performing document summarization, knowledge graphs, information extraction, or analysis.* Solid software engineering skills and experience* Experience as a technical leader, leading aspects of the following :aiding in the ideation with product stakeholders, comfort in dealing with uncertainty and ambiguity in problem statements and paths to success, breaking down complex problems into tractable components with iterative improvements, formulating research and development plans, coordinating and working with others, communication of progress and plans with varied stakeholders* Hands on coding experience on AI/ML projects in current role and experience in designing, developing, and implementing machine learning models and algorithms* Ability to obtain and maintain a U.S. national security clearance* U.S. Citizenship essential to comply with government contract/agency or department of Federal Government requirements**The following skills and tools are preferred, but not required*** 6+ years practical experience using AI and ML to solve diverse and/or ambiguous problems in academia or industry* Experience with AI Agent frameworks and patterns* Familiarity with common NLP use cases such as chatbot development and information retrieval (RAG), language translation, NER, summarization and topic modeling* Familiarity with LLM training and efficient finetuning (PEFT, LoRA, Quantization)* Experience with NLP/CV libraries such as PyTorch, TensorFlow, Scikit-learn, spa Cy, HuggingFace Transformers/Diffusers, OpenAI, LangChain, Semantic Kernel & OpenCV* Experience using Cloud solutions (AWS, Azure, etc.) for building and deploying applications* Experience in a fast-paced, agile environment managing uncertainty and ambiguity.* Proficiency in Python and experience delivering minimum viable products in a large enterprise environment* Experience developing libraries and APIs for others to use* Outstanding communication and data-driven decision-making collaboration with Product + Business Stakeholders* Diverse experiences across problem spaces, companies and cultures#LI-CS1* **Hybrid Work Model:** We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.* **Flexibility & Work-Life Balance:** Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.* **Career Development and Growth:** By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.* **Industry Competitive Benefits:** We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.* **Culture:** Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.* **Social Impact:** Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.* **Making a Real-World Impact:**We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection #J-18808-Ljbffr

Job ID 2025-0034 # Positions 1 Experience (Years) 3 Category Engineering & Air Safety - Staff Engineer External Description Aviation Safety Staff Engineer (Design, Certification, MMEL and Operations) The Air Line Pilots Association, International (ALPA), the largest airline pilot union in the world and the largest non-governmental aviation safety organization in the world (representing over 80,000 pilots at 42 U.S. and Canadian airlines) seeks an experienced Staff Engineer for our Tysons (McLean), Virginia office. The Staff Engineer provides staff coordination and liaison with government, industry, and professional stakeholders on behalf of the Air Safety Organization and other Association committees, MECs, and National Officers, as assigned by the department Director or Manager. Their specific focus is in the policy areas of Part 25 aircraft design/certification, as well as Part 121 continuing airworthiness, operations specifications, and aircraft maintenance, including master minimum equipment list (MMEL) policies and procedures. They provide coordination and technical support to the Air Safety Organization, accident and incident investigations, Federal Aviation Administration (FAA) and Transport Canada (TC) pilot certificate enforcement action cases, and other safety investigations in the areas of aircraft design, manufacturing, and continuing airworthiness/maintenance. The Staff Engineer effectively represents the Association and the department, interacting with government and industry safety officials on a routine basis, advocating on behalf of the Association's priorities from a policy perspective. They are also routinely tasked to use their engineering training and experience to analyze Airworthiness Directives, Petitions for Exemption, and Special Conditions to develop recommended action by the association. In coordination with relevant committees and staff members, they develop and coordinate written communications to membership, government, and industry groups outlining ALPA positions on a wide variety of operational safety issues. While this position requires engineering expertise, it is a policy position. The staff engineer will be routinely asked to translate engineering information into summaries for department management and leadership. Local, national, and international travel: up to 25%. ALPA is an equal opportunity employer that is committed to diversity and inclusion in a safe workplace. We prohibit discrimination, harassment and harmful behavior of any kind based on race, color, sex, religion, sexual orientation, national origin, gender identity, caste, disability, genetic information, pregnancy, or other protected characteristics as outlined in federal or provincial laws. We highly value everyone and all are encouraged to apply, including minorities, veterans, and people with disabilities. This position is covered by a collective bargaining agreement. ALPA is a member-driven, staff supported, union with two internal professional unions. Minimum Requirements: Bachelor's degree in relevant area, e.g., Aerospace or Aeronautical Engineering or other related engineering discipline, from an accredited college or university required. Three (3) years of related experience in the civilian aviation industry, five (5) or more strongly preferred. Experience in U.S. and/or Canadian Aviation Regulations (FARs and CARs), national and international aviation standards, and aircraft design standards required. Familiarization with and participation in policy activities that include the Aviation Rulemaking Advisory Committee (ARAC), the Canadian Aviation Regulation Advisory Council (CARAC), and Aviation Rulemaking Committee (ARC) processes is strongly preferred. A pilot's license with an instrument rating and/or special knowledge or applicable expertise in the aviation industry preferred. Other aviation industry experience may be substituted for the pilot's license. Experience in Part 25 airplane design/certification and/or Part 121 operations and continuing airworthiness, as well as airplane maintenance, is required. FAA Airframe and Powerplant certification (A&P license) and/or equivalent experience with maintenance and/or large aircraft manufacturing preferred. Experience with NTSB and/or TSB accident investigation processes preferred. Strong technical writing skills are required, and public speaking skills beneficial. Excellent interpersonal and communication skills, oral and written, for effective interaction with all levels of contacts, internal and external. Ability to collaboratively work in multi-disciplined team Must be a self-starter with professional maturity and sound judgment, capable of independent decision-making and to be proactive in identifying and responding to issues and problems. Must possess exceptional time management skills; be able to work in a fast-paced, multi-tasking environment; and transition easily between projects. Software: Microsoft Word, Outlook, Excel, and PowerPoint. Physical Demands: Note: The physical demands described herein are characteristic of those that must be met to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals to perform the essential physical activities of this position described below. Constantly operates a computer/smartphone/tablet. Regularly required to maintain a stationary position, move about the office and the local metropolitan area, determine what others have said or written, and converse with others and exchange accurate information. Regularly required to sit, stand, bend, reach, and move about the office and travel (locally, nationally, and internationally). Also includes occasional bending, stooping, squatting, and/or pushing and pulling or moving, e.g., to pack, unpack, and/or move cases. Occasionally required to move, raise, reach, and/or retrieve binders, books, boxes, and files up to ten (10) pounds (lbs.). While on travel, could be responsible to move luggage weighing as much as 50 lbs. (Assistance may not always be available.) ALPA offers competitive salaries with terrific benefits, including: 401k Plan with Non-Elective Employer Contribution of 12% plus 2% into a Market-Based Cash Balance Plan after 180 days of employment. No employee contribution required! The 401k plan includes a Roth option and 4-year vesting schedule. Generous health care benefits on day one - PPO, Kaiser (where available), and a High Deductible Health Plan which includes coverage for medical, dental, and vision benefits for employee, spouse, and/or dependent children; 15 days paid vacation and 13 holidays per year plus 2 volunteer days per year; Generous sick and bereavement leave; Competitive parental leave; Company-paid premiums for disability and life insurance; Flexible Spending and Health Savings accounts; Retiree health plan; Education Assistance Program; and, Optional benefits including pet insurance, excess life insurance, legal plan, and qualified transportation fringe benefits, where available. Partial remote work opportunities. PROJECTED ANNUAL SALARY RANGE: $ 96,027.00 - $ 137,179.00 Relocation not provided. Sponsorship not available for this position. PM19

Job ID 2025-13063 # of Openings 1 Category Intelligence Benefit Type Salaried High Fringe/Full-Time 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. 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. 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. Responsibilities 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. 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. Modernize and maintain data pipelines, data warehouses, and related infrastructure to ensure scalable, reliable, and efficient operations. Frame and scale data problems; integrate, consolidate, and analyze complex datasets for business analytics. Build and validate models using machine learning, simulation, causal, rule-based, and statistical methods. Transform data into visualizations, dashboards, and analytic narratives that support storytelling and decision-making. Provide timely analysis and reporting in a fast-paced, client-focused environment. Deliver technical and process consulting through management of standard consulting projects. Advise non-technical stakeholders on interpreting and applying data products, dashboards, and reports. Manage relationships with key stakeholders to ensure alignment of analytical solutions with organizational goals. Contribute to the organization's data engineering and advanced analytics strategy, roadmap, and data governance practices. Oversee project timelines, deliverables, and resources, ensuring completion on time, within budget, and to quality standards. 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. Qualifications Education: Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related quantitative discipline is required. Advanced degree (master's or Ph.D.) in a relevant field is preferred. Experience: 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. Proven track record of managing and delivering complex data pipelines and analytical projects. Hands-on experience developing with Python and SQL for data pipelines, data integration, and analytics. Technical Skills: Proficiency in Python and SQL is required. 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. Experience with ETL/ELT processes, pipeline development, and data integration methods. Familiarity with data science libraries in Python. Experience building data visualizations, dashboards, and lightweight applications to communicate findings and drive business impact. Experience displaying analytical results using platforms such as Tableau, Streamlit, Qlik, Power BI, RShiny, Plotly, or D3.js. Tableau and Streamlit preferred. Additional experience with programming languages such as Java, R, or MATLAB is a plus. Familiarity with data engineering and data science methods including data transformation, feature engineering, predictive analytics, and (preferred) unstructured text/NLP. Leadership and Interpersonal Skills: Superior communication skills, both oral and written, with the ability to convey complex data engineering and data science concepts to non-technical stakeholders. Demonstrated ability to mentor and develop junior team members across both DE and DS disciplines. Strong stakeholder management skills, with the ability to build and maintain relationships across the organization. Proven ability to balance technical modernization efforts with stakeholder-facing analytics delivery. Ability to work in a fast-paced, solutions-oriented environment. Strong analytical and problem-solving skills with a focus on practical outcomes. Detail-oriented with a commitment to delivering high-quality work. Ability to work both independently and as part of a collaborative team. This position requires an active TS/SCI security clearance with polygraph. Applicants with TS/SCI who are eligible for polygraph are encouraged to apply and will be sponsored for upgrade. 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 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. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

Company - Our client is a leading cybersecurity services provider, trusted by some of the most recognized brands in the U.S. They partner closely with Fortune 500 enterprises to deliver cutting-edge identity, cloud, and security solutions. Known for their technical excellence and white-glove client service, they are consistently recognized as one of the top MSSPs in North America. Job Title - Senior Identity (Ping) Engineer Location - Tysons, Virginia (Hybrid - onsite 3 days per week) Role Type - 6-Month Contract (1,040 hours) Must Have Skills: 7+ years of Identity & Access Management (IAM) engineering and architecture experience 5+ years of hands-on experience with the full Ping Identity suite across enterprise and/or CIAM use cases Deep expertise with PingFederate, PingID, Ping Directory, and PingOne (Enterprise + Customer) Proven experience designing and implementing modern passwordless authentication (FIDO2/WebAuthn/Passkeys) at enterprise scale Expert-level understanding of IAM protocols (SAML, OAuth 2.0, OIDC, SCIM, LDAP) and demonstrated ability to lead large-scale Ping deployments Responsibilities and Job Details: Serve as the Ping Identity SME and platform owner across a large financial services enterprise Architect, design, deploy, and scale Ping Identity solutions for both workforce SSO and CIAM use cases Perform hands-on configuration across the Ping suite supporting on-prem, private cloud, and SaaS (PingOne) architectures Design and implement identity workflows using PingOne DaVinci or similar orchestration tools Lead enterprise-wide rollout of passwordless authentication (FIDO2/WebAuthn/Passkeys) Provide advanced troubleshooting and root cause analysis across Ping environments Drive integration with Azure Identity (Entra ID) and other IdP/IdM technologies Manage multiple concurrent IAM projects, meeting key milestones and delivering required documentation Communicate effectively with technical and executive stakeholders Scripting skills in Python, PowerShell, or Groovy are highly desired for automation Candidate must commit exclusively to this contract for its duration

This role is responsible for leading, overseeing, and performing traffic and transportation engineering design using advanced engineering principles. The position requires interpreting, organizing, executing, and coordinating complex design assignments with limited supervision. The Senior Traffic Design Project Engineer serves as a technical resource and mentor to less experienced engineers and supports project managers in delivering high-quality engineering solutions. Key Responsibilities Lead and perform design efforts on multiple concurrent traffic engineering projects. Interpret client requirements and provide technical recommendations and solutions in support of project managers. Attend client meetings as needed to support project delivery. Plan, schedule, coordinate, and manage detailed engineering work throughout all project phases. Apply discipline-specific engineering software and design/drafting tools. Develop solutions to complex engineering challenges and share technical best practices. Define design criteria and parameters and prepare alternative analyses and studies. Prepare, review, or oversee preparation of engineering documents, technical reports, memoranda, and design deliverables. Perform engineering calculations and review calculations prepared by others. Conduct quality control and quality assurance reviews in accordance with Project Management Plans. Perform cross-disciplinary and constructability design reviews. Assist in defining project scope, schedules, staffing needs, and work hours for assigned tasks. Manage assigned work to meet project schedules and budget requirements. Coordinate and collaborate with engineers, designers, and other disciplines. Delegate tasks to other engineers and perform design and technical reviews of their work. Mentor, coach, and provide technical guidance to less experienced engineers. Participate in professional and industry organizations, technical presentations, publishing, and related activities. Perform other related duties as assigned. Required Qualifications Bachelor's degree in Civil Engineering or a related field from an ABET-accredited program. Minimum of 15 years of relevant traffic or transportation engineering experience. Proficiency with discipline-specific engineering and design software. Proficiency with Microsoft Office applications. Strong written and verbal communication skills. Ability to work across multiple engineering disciplines. Demonstrated presentation and technical communication skills. Preferred Qualifications Professional Engineer (PE) license. Relevant industry certifications such as PTOE or IMSA. Experience working with local government or public agency clients. Working Conditions Primarily office-based work environment with occasional field work. Field activities may involve standing, walking, and lifting up to approximately 25 pounds. Field work may occur in various weather conditions.

At Aurora Flight Sciences, we design, build, and fly advanced aircraft and enabling technologies from concept to reality. We are searching for a talented and self-motivated Staff Mechanical Engineer- sUAS to help us create the future of flight. Responsibilities will include but not be limited to the following: Responsibilities * Perform mechanical design of novel aircraft, small UAS and supporting systems. * Conduct rapid prototype development, manufacturing, and integration. * Perform developmental and qualification testing, troubleshooting, and data analysis. * Collaborate with other engineering disciplines in planning, development, and test of systems to ensure software and hardware performance and compatibility. * This position is based at Aurora's Manassas, VA location and is 100% on-site. Minimum Requirements * Bachelors Degree in Mechanical Engineering, Aerospace Engineering or other relevant 4-year engineering degree from an accredited university. * Minimum typically of five years of experience in aircraft or small UAS development. * Proficiency in mechanical design for aerospace applications. * Proficiency with CAD tools including SolidWorks, CATIA V5 and/or 3DX. * Able to travel for up to 2 weeks at a time approximately 4 times per year. * Must be a US Citizen and be able to obtain a security clearance. Preferred Requirements * Proficiency with test and data analysis tools such as LabView, MATLAB, Excel, and Python. * Knowledgeable in all aspects of the aircraft and small UAS development life cycle from initial design concepts to manufacturing, integration, and test. * Working knowledge of electrical systems and software development and test methods. * Demonstrated ability to troubleshoot complex problems on the fly while supporting flight test operations. * Self-motivator with demonstrated performance in a small team environment. * Experience with metal and/or composites fabrication, assembly, and integration. * Proficiency operating manual and CNC mills and lathes, laser cutters, waterjets, and 3D printers. * Familiar with UAV autopilot software such as PX4 (preferred), or Ardupilot. * Experience with electromechanical system design and analysis. * Experience with embedded systems programming, verification, and test. * Radio Controlled (R/C) pilot with experience in custom R/C aircraft design, build, assembly, and flight operations. * Holds current FAA Part 107 Certificate. * Submitting a design or project portfolio is highly encouraged. Physical Requirements * Ability to lift 35 pounds * Ability to be on-site weekly at our Manassas, VA site Salary Range (Annualized USD) * Minimum Range: $68,000.00 to $120,000.00 * Maximum Range: $84,000.00 to $150,000.00

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. Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world's biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today. At the heart of Defining Possible is our commitment to missions in today's rapidly changing global security environments. 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 yours of 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. **Northrop Grumman Mission Systems** is seeking a **Staff Research Development Engineer** for a team of qualified, diverse individuals in **Northern Virginia** . The selected candidates will be responsible for executing strong research, design, test, and evaluation, as well as prototype and development/fabrication of the resulting specialized products for military applications. They will provide technical expertise and consultation on a variety of material issues, including material selection, supply chain support, troubleshooting, prototyping, production, and operations and maintenance of lab equipment. **What qualifications needed to be considered:** + An active TS/SCI with current Polygraph is required to be considered. + Bachelor's degree plus 12 years of related experience (or 4 years of additional experience in lieu of degree), 10 years of related experience with a Master's degree, or 8 years of experience with a PhD) in one or more of the following areas: + Digital design, high-resolution 3D modeling and sculpting + Photogrammetric and laser scanning + Laser engraving + Texturing and painting + Prototyping and production + Upholstery and textile construction + Demonstrated ability in any combination of the below capabilities: + Working with 3D models across multiple applications (e.g., ZBrush, Maya, Substance Painter, Rhino, Artec Studio 16, and Adobe Creative Suite including Illustrator and Photoshop). + Experience managing multiple SubTools, managing topology with Dynamesh and Zremesher, creating custom alphas for textures and brushes, and working with UV Master. + Applying an understanding of lighting, color, material, orientation, depth, visual perspective, and composition, including a good feeling for proportions. + Working with specialized machinery and equipment such as grinders, drills, presses, saws, cutters, sealers, sergers, and related computer-aided drawing software. + Working with various materials and textile weights (e.g., nylon, silk, polyblend, denim, knit, heavy canvas, leather) and installing grommets, zippers, snaps, and other fasteners. + Understanding of musculoskeletal function, assistive devices, medical prosthetics/fittings, and related equipment. + Experience with structure and composition of a variety of materials and mediums such as adhesives, acrylics, plastics, solvents, epoxies, urethanes, and silicones, along with materials handling and safety within a production facility. + Experience applying SFX makeup and hair, and creating realistic wounds, scars, etc. + Experience with hair implantation and ventilation techniques. + Ability to implant hair into traditional and non-traditional materials. + Experience with hair specific adhesives. + Experience working with human, yak and synthetic hair + Familiarity with standard methods of measuring and fitting wigs + Ability to hand-tie wigs on lace as well as on 4-way stretch or flexible substrates + Ability to replicate various hair styles, colors and lengths using human and/or synthetic hair + Ability to replicate facial hair (beards, moustaches, sideburns, etc.) using accepted techniques and materials + Ability to document instructions and plans for execution of fabrication, assembly, and testing. **Preferred Qualifications include:** + Strong interpersonal, written, and verbal communications skills to present data and recommendations to internal and external customers. + Ability to coordinate and schedule work through multiple organizations, considering interdepartmental dependencies and multiple projects, to meet deadlines. + Able to give and receive constructive feedback of co-worker and/or a team's work + Willingness to learn and keep current with new products, materials, software, and techniques. Primary Level Salary Range: $177,000.00 - $265,600.00 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

This position will work closely with Marketing, Sales, and Technology organizations. Driving adoption of Spectra's ballistic materials in armor manufacturers. Hands on oversight, development, and optimization of customer facing ballistic solutions and Spectra Shield customer qualification processes. **Responsibilities** Leverage armor system design subject matter expertise to drive adoption of Spectra ballistic materials in armor manufacturers solutions. + Optimize composite material processing guidelines for soft and hard armor applications. + Hands-on system design, lay-up, and equipment operation required for part fabrication. + Coordinate prototype development which includes but is not limited to: sample and test matrix definition, work order drafting, laboratory scheduling, prioritization, execution, testing and communication of results. Define the competitive landscape and identify the technology roadmap for new product offerings and applications capabilities required for sustained differentiation. + Collaborate with armor manufacturers, military R&D organizations, and Program Offices to establish comprehensive understanding of current and future body armor program specifications. + Define the fundamental composite material property linkages to end article performance and provide the functional product attribute characterization protocols and targets necessary to achieve ballistic and non-ballistic system level requirements. + Identify and assess emerging materials, manufacturing processes, and characterization techniques for technology roadmap considerations. + Represent Solstice Technology organization in customer meetings, global trade shows, and technical conferences. + Provide technical oversight and support for customer quality resolution, manufacturing initiatives, and new product development. + Draft scientific publications, white papers, solicitation responses, invention disclosures, and intellectual property materials as needed. Liaison with Solstice Commercial, Development, Quality, and Manufacturing organizations as the primary Technical Point of Contact for Armor Industry. **Qualifications** **YOU MUST HAVE** + Bachelors of Science Technology Degree in Engineering, Polymers/Composite Materials, Materials Science or other related scientific or technical discipline. + 10 plus years of experience with soft body armor, helmets and vehicle armor materials, processing, ballistic and non-ballistic testing. **WE VALUE** + MS degree in Engineering + Thorough knowledge and experience with ballistic composite materials, process manufacturing, ballistic threat standards (NIJ / Military), and testing of soft and hard armor applications. + Experience in data management including collection, interpretation, graphical and statistical analysis to interpret experimental results and develop presentations to communicate these findings. + Excellent communication and inter-personal skills. + Experience with MS Office Applications including Outlook, Excel, Word, PowerPoint and Minitab statistical analysis software. + Ability to manage multiple programs of varying degrees of complexity. + Work with minimal supervision or within a team structure depending on the responsibilities of the project. **BENEFITS OF WORKING FOR SOLSTICE ADVANCED MATERIALS** In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Solstice Advanced Materials employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. The annual base salary range for this position is $174,600 - 217,800. Please note that this salary information serves as a general guideline. Solstice considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations. Solstice Advanced Materials is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. **About Us** **About Solstice Advanced Materials** Solstice Advanced Materials is a leading global specialty materials company that advances science for smarter outcomes. Solstice offers high-performance solutions that enable critical industries and applications, including refrigerants, semiconductor manufacturing, data center cooling, nuclear power, protective fibers, healthcare packaging and more. Solstice is recognized for developing next-generation materials through some of the industry's most renowned brands such as Solstice , Genetron , Aclar , Spectra , Fluka, and Hydranal. Partnering with over 3,000 customers across more than 120 countries and territories and supported by a robust portfolio of over 5,700 patents, Solstice's approximately 4,000 employees worldwide drive innovation in materials science. For more information, visit Advanced Materials (********************************************** . **Job Identification** 105981 **Job Category** Engineering **Job Schedule** Full time **Locations** 15801 Woods Edge Rd, Colonial Heights, VA, 23834, US **Hire Eligibility** Internal and External **Relocation Package** US & CAN Domestic Tier 2 **Pay Transparency** $174,600 - 217,800 **US Person** Due to U.S. export control laws, candidates must be U.S. citizen, U.S. permanent resident, or have protected status under asylum or refugee.

BOYD is looking for a Thermal Research and Design Engineer to join our Design Center team here in New Hampshire's Lakes Region. This region of NH offers many year-round outdoor activities such as hiking, skiing, fishing, boating, etc. In this position you will help our customers find and develop creative solutions to meet their challenging thermal and mechanical design requirements. BOYD's engineering team performs mechanical, thermal, industrial, electrical design and analysis as well as product development and prototyping services. Our global engineering team consists of 350+ engineers spanning a variety of fields and disciplines. Our clientele represent a wide spectrum of industries spanning from telecommunications, medical devices, server and data center, aerospace, power, consumer products and beyond. SUMMARY: * Conduct single and two-phase fluid flow and heat transfer research on both passive and actively pumped systems and apply those learnings to the development of new electronic cooling products. * Evaluate the most challenging electronics cooling applications with customers and propose highest performing design concepts using single and two-phase flow. * Conduct theoretical thermal and mechanical analyses, design sizing, and CFD/FEA simulations. Interpret and communicate results and recommend the best design approach. * Design and conduct heat transfer experiments, collect and reduce test data, analyze and interpret test results, communicate methods and results, adapt findings to improve design and CFD models, recommend design adjustments if needed. * Collaborate with colleagues and help solve multidisciplinary technical challenges. * Assisting with writing design proposals, marketing materials, and technical papers. * Select components and materials for cooling products and solutions. PRIMARY RESPONSIBILITIES: * Conduct thermal research, design, and engineering projects to support the company's business. * Prepare technical proposals to support soliciting funding for research in areas of interest to the Company. * Support building collaborative relationships between industry and academic partners to support research in areas of interest to the Company. EDUCATION AND EXPERIENCE REQUIRED: Education and Training * M.S. or Ph.D. in Mechanical Engineering or related fields, graduate level work in two-phase flow and heat transfer theoretical, experimental and computational methods. Strong foundation in other heat transfer modes like conduction, convection, and radiation. * Familiarity with research publications and literature in the above topical areas. * Hands on work in a heat transfer research or test lab. Experience * A strong understanding of the fundamental physics of heat transfer, mass transfer, and fluid flow including two-phase flow and heat transfer. * Familiarity with heat transfer experimental methods and instrumentation. * Familiarity with modeling and conducting CFD simulations preferably including two-phase flow and heat transfer. * Demonstrated initiative and independent problem-solving capabilities. * Ability to manage several projects at once and meet deadlines. * Excellent written and oral communication skills. * Exceptional organization, coordination, and consultation skills. Other * A knowledge of electronics cooling applications is desirable but not a requirement. * Working knowledge of SolidWorks is desirable but not a requirement. * Working with clients and experience in managing customer relationships is a plus. * Ability to work in a dynamic and fast-paced, flexible team environment. * Awareness of different manufacturing methods and limitations a plus. * US citizenship or permanent residency. All Job Posting Locations (Location) Laconia Remote Type On-Site EEO Statement Boyd Corp is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.