Machining engineer jobs in Glen Burnie, MD - 2,127 jobs

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

Come build at the intersection of AI and fintech. At Ocrolus, we're on a mission to help lenders automate workflows with confidence-streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions. Our AI-powered data and analytics platform is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to credit-ultimately creating a more inclusive financial system. Trusted by more than 400 customers-including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square-Ocrolus stands at the forefront of AI innovation in fintech. Join us, and help redefine how the world's most innovative lenders do business. Summary As a Staff Machine Learning Engineer at Ocrolus, you'll be a hands-on technical leader who helps shape the future of our machine learning systems. This is a high-impact role, entailing strategic responsibility in determining the company's Machine Learning infrastructure, system architecture, and deployment protocols. You will collaborate across teams to design, scale, and refine models that power core features - from document understanding and OCR to complex NLP and decision intelligence. This role involves the design of scalable Machine Learning solutions, mentorship of engineering personnel, and contribution to the technical and organizational advancement of the AI stack. The ideal candidate will excel in addressing complex challenges, providing guidance to others, and spearheading innovation on a large scale. What you'll do Spearhead the Design and Architecture: Lead the design and architecture of robust, scalable machine learning systems that are primed for seamless deployment into production. Enhance Productivity: Design and implement essential machine learning infrastructure and tools that support multiple teams, streamlining workflows and improving efficiency across the organization Solve Complex Infrastructure and ML Problems: Address complex infrastructure and machine learning challenges that span the organization. Analyze systems to identify and rectify bottlenecks, inefficiencies, and areas for improvement. Drive Model Evaluation and Optimization: Lead the development of model evaluation frameworks, optimize data pipelines, and implement continuous training strategies to ensure that models remain accurate and up-to-date. Apply ML Expertise to Fintech: Leverage state-of-the-art machine learning models within the fintech domain to automate and enhance document processing. Collaborate Across Teams: Work closely with stakeholders from Product, Engineering, and Operations to ensure that goals are aligned and that execution is coordinated and effective. Mentor and Guide Engineers: Provide mentorship to engineers within both ML and platform teams, fostering their professional development and contributing to the overall growth of Ocrolus' technical expertise. Coach and influence others to improve company culture. Contribute to Engineering Standards: Play an active role in shaping Ocrolus-wide engineering standards, participate in design reviews (RFCs/ADRs), and promote adherence to best practices. Champion Code Quality and Reliability: Be a vocal advocate for code quality, observability, and system reliability. This includes everything from implementing rigorous A/B testing to setting up real-time monitoring systems. Understand how their team and projects fit into the larger business goals. Bring together technical and nontechnical stakeholders towards common objectives, suggest alternative solutions to customer problems, and help teach and support more junior teammates. Look for opportunities for process improvements within their team and works with others to implement process changes. Find ways to incorporate company values into day-to-day decisions and have ideas on how to build policies/processes that support the improvement of company culture. Who we're looking for: (Skill Sets and Qualifications) Bachelor's or Master's degree in Computer Science, Machine Learning, Applied Mathematics, or a related technical field 7+ years of experience developing and deploying machine learning models in production environments, with a focus on real-world applications and measurable impact. Deep expertise in Python and at least one major ML framework (e.g., PyTorch, TensorFlow); strong proficiency in building, training, and optimizing deep learning models. Proven experience in applying ML techniques to computer vision, OCR, or NLP problems, ideally at scale and in latency-sensitive environments. Strong understanding of ML system design, including model evaluation, A/B testing, continuous training, and monitoring in production. Solid engineering fundamentals - data structures, system design, version control, and testing - with a history of writing clean, maintainable, and scalable code. Experience with modern infrastructure tools and cloud platforms (Docker, Kubernetes, Helm, AWS/GCP); comfortable navigating MLOps pipelines and deployment workflows. Demonstrated ability to lead cross-functional initiatives, influence architectural decisions, and communicate complex technical ideas to diverse stakeholders. Experience mentoring engineers and fostering a culture of high standards, curiosity, and ownership. Preferred Attributes: Working familiarity with additional programming languages (e.g., Go, Java, or Scala) is a plus. Experience operating within regulated industries (fintech, healthtech, etc.). Active contributor to open source, research publications, or public tech community. Champions a culture of humility, curiosity, and ownership in technical decision-making. Life at Ocrolus We're a team of builders, thinkers, and problem solvers who care deeply about our mission - and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact. Our culture is grounded in four core values: Empathy - Understand and serve with compassion Curiosity - Explore new ideas and question the status quo Humility - Listen, be grounded, and remain open-minded Ownership - Love what you do, work hard, and deliver excellence We believe diverse perspectives drive better outcomes. That's why we're committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic. We look forward to building the future of lending together. #J-18808-Ljbffr

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

About Pryon We're a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we're building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting‑edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed. In This Role Help solve fundamental problems in machine learning, natural language understanding, and human‑computer interaction with applicability to practical commercial use cases. Help with experimentation and model development, and design new features as well as improve existing ones in our system. Partner with the AI Engineering team to transition mature technology to our production environment. What You'll Need to Be Successful Master's degree or higher in Computer Science, Data Science or related technical field, and 3+ years of relevant industrial/academic work experience (or equivalent) Demonstrated ability to drive the development side of R&D efforts Experience building/refining/innovating deep learning models for Natural Language Processing, Computer Vision, or Speech Recognition Experience with one or more of deep learning toolkits (PyTorch/HF preferred) Strong foundation in Computer Science with high competency in data structures, algorithms, and software design (expertise in one or more of: Python, C++, or Java) Experience building and improving LLM applications for processing semi‑structured and structured data such as NL2SQL and graph‑RAG Experience with practical applications in NLP, esp. with transformers/LLMs a plus Publications in top‑tier conferences (NeurIPS, ICLR, ACL, EMNLP, CVPR etc.) a plus Experience working in cloud‑based development environments such as AWS, Azure, or Google Experience with micro‑service creation Strong problem‑solving skills, with a hands‑on, get‑it‑done attitude Team player with ability to work in a close‑knit, fast‑paced startup environment $160,000 - $175,000 a year Benefits for Full‑Time Employees Remote first organization 100% Company paid Health/Dental/Vision benefits for you and your dependents Life Insurance, Short‑term and Long‑term Disability 401k Unlimited PTO We are interested in every qualified candidate who is authorized to work in the United States. However, we are not able to sponsor or take over sponsorship of employment visas at this time. Pryon will not consider race, religion, sex, sexual preference, or national origin in ways that violate the Nation's civil rights laws. #J-18808-Ljbffr

The Machine Learning Engineer is responsible for developing and implementing machine learning models and algorithms to solve complex problems. Develop and implement machine learning models and algorithms. Collaborate with the engineering team to integrate machine learning solutions into projects. Stay updated on the latest machine learning technologies and trends. Develop and implement quantum machine learning models and algorithms. Collaborate with quantum engineers to integrate quantum machine learning solutions into the company's projects. #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

* Bachelor's degree* At least 10 years of experience designing and building data-intensive solutions using distributed computing* At least 6 years of experience programming in C, C++, Python, or Scala* At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting* Master's Degree* 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models* 2+ years of experience using Dask, RAPIDS, or in High Performance Computing* 2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn)* Ability to communicate complex technical concepts clearly to a variety of audiences* ML industry impact through conference presentations, papers, blog posts, or open source contributions* Ability to attract and develop high-performing software engineers with an inspiring leadership style 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 . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. #J-18808-Ljbffr

We are seeking a skilled Mechanical Engineer to provide support in the design and development of high-reliability mechanical systems. This includes developing concepts, evaluating them for performance, and ensuring compliance with technical specifications. The role involves guiding systems from development through production, including prototyping, testing, and commissioning. You will serve as a bridge between the design and test engineering teams, working partly onsite at both locations. Responsibilities + Develop mechanical and physical concepts for high-reliability products and facilities with a focus on safety. + Coordinate with key stakeholders to identify and document applicable requirements, interfaces, and design criteria. + Perform structural, thermal, hydraulic, and other calculations to ensure systems meet technical requirements. + Develop innovative mechanical solutions for pressure vessels, piping, electromechanical systems, and mechatronics. + Assess mechanical systems for manufacturability and integration considerations. + Develop Verification and Validation (V&V) plans and support toolset qualification. + Conduct mechanical testing and validation efforts to ensure high reliability, including data analysis and test procedure development. Essential Skills + Hands-on experience with hardware and the product development lifecycle through to production. + Experience in highly regulated industries such as aerospace, medical devices, automotive, or defense electronics. + Mechanical component-level design experience with high-pressure vessels, fluid systems, and advanced mechanisms. + Proficiency in CAD and PLM software like UG/NX, Solidworks, or CREO/Pro-Engineer. + Hands-on mechanical testing and troubleshooting experience. + Familiarity with machine shop tools and mechanical test benches. Additional Skills & Qualifications + Bachelor's degree in mechanical engineering or related discipline. + Significant experience in mechanical engineering design and test setup. + Experience with instrumentation selection and data analysis tools like LabVIEW, Python, or MATLAB. + Knowledge of industry standards such as ASME BPV Code and ASME B31.1 or B31.3. Work Environment You will work in an office environment, with responsibilities split between two sites (Rockville, MD and Frederick, MD), spending approximately 50% of your time at each. The role requires hands-on involvement in mechanical troubleshooting and use of machine shop tools. Job Type & Location This is a Contract to Hire position based out of Rockville, MD. Pay and Benefits The pay range for this position is $58.00 - $80.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Rockville,MD. Application Deadline This position is anticipated to close on Jan 26, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.

ReqID: NEW000208 **Joining Arup** Arup's purpose, shared values, and collaborative approach has set us apart for over 75 years, guiding how we shape a better world. We are seeking a **Mechanical Engineer** to join our growing multi-disciplinary team in the **New York** market. In this role, you will support mechanical system design and coordination across a diverse portfolio of projects, including healthcare, academic, institutional and government buildings, museums, laboratories, commercial offices, and mission-critical facilities, contributing to high-performing, resilient, and sustainable building solutions. **The role** + Support mechanical engineering design for multi-disciplinary projects, with exposure to mission-critical and data center infrastructure, including complete airside systems, chilled water and condenser water plants, specialty exhaust systems, and steam systems. + Assist in the design of high-availability cooling strategies (e.g., N+1 / 2N redundancy, scalable plant configurations, and energy-efficient cooling solutions) that support continuous operations. + Coordinate closely with electrical, structural, fire protection, and architectural disciplines, working in conjunction with project managers to deliver fully integrated and coordinated design packages. + Support client engagement related to project delivery, performance requirements, and repeat business, particularly for technically complex facilities. + Prepare drawings, specifications, technical reports, and presentation materials, incorporating sustainability, energy efficiency, and resilience principles aligned with data center operational goals. + Present technical concepts clearly and effectively to both technical and non-technical audiences, including internal teams and clients. + Participate in local professional associations and stay informed of evolving mission-critical and data center design trends. **The Skills** + Bachelor's degree in Mechanical Engineering or Architectural Engineering required. + Minimum 2 years of professional experience designing building HVAC systems, including airside and hydronic components; experience with mission-critical facilities, data centers, or hospitals is preferred. + Working knowledge of high-reliability environments, including cooling system redundancy, capacity planning, and operational considerations (preferred). + Proficiency in Revit MEP. + Familiarity with relevant codes and standards, including IMC, IECC / ASHRAE 90.1, ASHRAE 170, LEED energy efficiency and indoor environmental quality, and NFPA. + Strong interpersonal and communication skills, with the ability to collaborate effectively in a team-based environment. + Confident presentation skills when engaging with colleagues and clients at all levels. + Ability to prioritize effectively, manage multiple workstreams, and maintain strong organizational skills in a fast-paced, evolving environment. Please note that all applicants must apply directly via the job portal. If this role is not quite what you are looking for, but you are interested in other opportunities for a future with purpose, please sign up to our Talent Community where you will be kept up to date with roles suitable for you to shape a better world. **What we offer you** At Arup, we care about each member's success, so we can grow together. Guided by our values, we provide an attractive total reward package that recognizes the contribution of each of our members to our shared success. As well as competitive, fair and equitable pay, we offer a career in which all of our members can belong, grow and thrive - through benefits that support health and wellbeing, a wide range of learning opportunities and many possibilities to have an impact through the work they do. We are owned in trust on behalf of our members, giving us the freedom, with personal responsibility, to set our own direction and choose work that aligns with our purpose and adds to Arup's legacy. Our members collaborate on ambitious projects to deliver remarkable outcomes for our clients and communities. Profit Share is a key part of our reward, enabling members to share in the results of our collective efforts. **Benefits at Work** - At Arup, we have a comprehensive and valuable benefits program that works for our employees and their families while keeping costs low. These benefits provide health and welfare security for you as well as paid time off for rest and renewal. As a member of Arup, everyone shares in our success through a global profit share scheme (payments are dependent on the firm's financial performance). Our Global Profit Share Plan (paid bi-annually) provides an opportunity for you to share in the success of the Firm. As a valued employee of Arup, you can also choose to participate in our 401(k) plan with up to 10% company match to help you save for your future **Flexible Working -** We believe that flexible arrangements create a more inclusive way of working that supports our diversity and the wellbeing of our people. Options for alternative schedules and the ability to work outside of the office for a portion of your workweek are available **New York / New Jersey Hiring Range** - The good faith base salary hiring range for this job if performed in NY/NJ is $90,000 to $106,700 per year. This range is commensurate with experience, educational background, and skill level. Benefits are not included in the base salary. Please note hiring ranges for candidates performing work outside of NY/NJ will differ. **Different People, Shared Values** Arup is an equal opportunity employer that actively promotes and nurtures a diverse and inclusive workforce. We welcome applications from individuals of all backgrounds, regardless of age (within legal limits), gender identity or expression, marital status, disability, neurotype or mental health, race or ethnicity, faith or belief, sexual orientation, socioeconomic background, and whether you're pregnant or on family leave. We are an open environment that embraces diverse experiences, perspectives, and ideas - this drives our excellence. Guided by our values and alignment with the UN Sustainable Development Goals, we create and contribute to equitable spaces and systems, while cultivating a sense of belonging for all. Our internal employee networks support our inclusive culture: from race, ethnicity and cross-cultural working to gender equity and LGBTQ+ and disability inclusion - we aim to create a space for you to express yourself and make a positive difference. Discover more about life at Arup at. **Our Application Process** We will be reviewing our candidates for this position on a rolling basis. Once you have applied you will be evaluated and potentially moved on to the next round, at which point a member of the talent resourcing team will reach out to you directly. **Arup is an equal opportunity employer.** All qualified applicants will receive consideration without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of a protected veteran, or disability. **Stay safe online.** Recruitment fraud is on the rise, and Arup's name, logo, and branding have been used in fraudulent job advertisements. Arup will never ask for bank information as part of our recruitment process. \#LI-AR2 DC 2025 EOE-Protected Veterans/Disability

Senior Mechanical (HVAC) Design Engineer 6+ YEARS OF EXPERIENCE We are seeking a Senior Mechanical Engineer to work in our Bethesda MD office. Projects include new construction and renovation in areas such as commercial, educational, retail, restaurant, multi-family, recreation, government and residential. Requirements include: BS or BAE in Mechanical or Architectural Engineering 6+ years of experience in building HVAC and plumbing systems design Fundamentals of Engineering/EIT certification with goal of obtaining PE License Proficiency in AutoCAD, Revit, and HVAC software Knowledge of the current building codes and standards (IBC, ASHRAE, NFPA) LEED or green building experience a plus but not required Primary responsibilities include: Designing HVAC, plumbing and fire protection systems Conducting existing condition site visits Use of AutoCAD and Revit to prepare construction documents Performing HVAC load calculations and making equipment selections Performing energy studies and life cycle cost analysis Preparing project specifications and technical reports Performing construction administration duties for projects This position requires the ability to work on several projects at once, so candidates must be self-disciplined and work efficiently. Creative solutions will often be required. Responsibilities include performing multi-discipline coordination within the office as well as interfacing effectively with clients and other members of the project time. Candidates should have strong communication, self-motivation and leadership skills.

We're seeking a Hardware Simulator Engineer / Operator to support the operation, troubleshooting, and sustainment of hardware simulators and hardware-in-the-loop (HIL) testbeds in both laboratory and field environments. You will be hands‑on with real equipment, setting up systems, running test scenarios, collecting and validating data, and ensuring simulator availability for customer demos, developmental testing, and field events. This role is ideal for someone who enjoys practical engineering, disciplined execution, and fast‑paced troubleshooting, from cable‑level issues and timing faults to configuration control and field logistics. Pay Range $85,000 - $163,000 The pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, geographic location, and any applicable laws Responsibilities Operate hardware simulators and HIL testbeds in the lab and during field deployments; execute test plans and scenarios safely and repeatably. Perform system setup and teardown: rack integration, power‑up/power‑down procedures, cabling/harnessing, configuration loading, and pre‑test checks. Monitor simulator health during runs (telemetry, logs, built‑in tests); identify anomalies and take corrective action to keep events on track. Troubleshoot hardware and integration issues across power, I/O, networking, timing, and sensors/actuators; coordinate fixes with engineering teams. Calibrate and verify simulator outputs/inputs using lab instruments (oscilloscope, logic analyzer, DMM, power supplies) and documented procedures. Maintain configuration control: versions, wiring diagrams, asset inventory, spares, and change tracking for lab and field baselines. Collect, label, and validate test data; produce run notes, quick‑look results, and issue summaries for after‑action reviews. Support logistics for field events: packing, transport, site setup, environmental checks, and compliance with customer/site safety rules. Contribute to documentation: operator checklists, test procedures, troubleshooting guides, and training materials. Qualifications BS in Engineering/Engineering Technology/Computer Science (or equivalent practical experience). 2 years of experience Working knowledge of common interfaces and networks (Ethernet, serial/UART, CAN, GPIO; SPI/I2C a plus). Proficiency with Windows and/or Linux; comfortable with command line tools and basic scripting for setup/log collection (Python/Bash helpful). Experience troubleshooting with standard lab tools (DMM, oscilloscope, logic analyzer) and interpreting logs/telemetry. Comfort with cables/harnesses, connectors, rack equipment, and safe power practices; able to follow detailed procedures and checklists. Strong documentation habits and communication skills; able to produce clear run notes and concise issue reports. Ability and willingness to travel for field events and work flexible hours during test windows (including early/late shifts or occasional weekends as required). Nice to have Experience with HIL environments, automated test stands, or simulator operation for complex systems. RF/EW/sensors experience; familiarity with timing/synchronization, data acquisition, or telemetry systems. Hands‑on electronics skills: reading schematics, basic rework/repair, harness fabrication, connector pinouts. Scripting/automation to streamline operations (Python, Bash, PowerShell) and basic data triage/quick‑look plots. Experience with environmental and field constraints (mobile racks, generators, shelters, ruggedized equipment). Field readiness Ability to lift/carry up to 50 lbs and safely handle racks/cases with appropriate equipment and team support. Ability to work outdoors or in varying environments during field tests (temperature, dust, noise). Valid driver's license. Security requirements Citizenship: U.S. citizenship required Clearance: Active Secret required About i3 i3 is a technically diverse, 100% team member owned business, headquartered in Huntsville, Alabama specializing in missile and aviation systems engineering and logistic services, electronic warfare and electromagnetic effects analysis, UAS system integration and flight operations, full lifecycle C5ISR engineering services, cybersecurity and IT/IA innovative solutions and virtual training, simulation & serious game development and implementation. We have established a broad offering of products and capabilities collectively providing decades of experience supporting the full complement of DoD military services, Missile Defense Agency, National Aeronautics and Space Administration, and a variety of other Government organizations and private industry customers. Perks of being a team member owner include: Long‑term financial security Higher job satisfaction Greater job security Personal and professional growth Great company culture Other outstanding benefits: Excellent insurance coverage 401(k) match Generous PTO Health and wellness incentives Tuition and certification reimbursement Countless opportunities to give back to the community through i3 Cares We work hard. We compete hard. We play hard. Apply now to join us! #J-18808-Ljbffr

We have a client in Reston, VA, seeking a Lead Azure Cloud Engineer to play a pivotal role in designing, implementing, and optimizing their Azure cloud infrastructure. In this strategic position, you'll collaborate with enterprise technology leaders and cross-functional teams-development, operations, and security-to build a secure, scalable, and high-performing cloud environment. Requirements: Bachelor's degree in Computer Science, Engineering, or related field. 4+ years of experience as an Azure Cloud Engineer or similar role. Strong knowledge of Azure service models (Serverless, IaaS, PaaS, SaaS). Expertise in cloud security, compliance, and cost optimization. Azure certifications (minimum: Azure Administrator). Excellent problem-solving, troubleshooting, and collaboration skills. What You'll Do: Architect and manage scalable, secure Azure solutions across multiple environments. Ensure availability, performance, and security of all Azure resources. Develop and maintain Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates. Deploy and configure hybrid solutions integrating on-premises and cloud environments. Monitor and optimize infrastructure for cost efficiency and reliability. Troubleshoot and resolve complex system issues escalated from support or design phases. Stay ahead of emerging Azure technologies and best practices to drive innovation. Maintain comprehensive documentation-requirements, architecture diagrams, design specs, and test plans. Bonus: Experience with M365, Intune, PP&C, UEM, and IAM is highly valued. About Us: Endurance IT Services provides Managed IT Services, Cybersecurity Solutions, and IT Consulting to help businesses stay secure and productive. We also offer IT Staffing for Direct-Hire, Contract-to-Hire, and Contract roles, plus internal full-time positions. Note: Some opportunities may not be exclusive and can change as we work with clients but our goal is always to help candidates find the right job.

A leading defense technology company located in Washington, D.C. is seeking an AI Engineer to enhance military capabilities with innovative AI systems. The successful candidate will be responsible for fine-tuning transformer architectures and developing systems to address real-world military challenges. The role requires strong experience in machine learning and Python, along with a bachelor's degree in a relevant field and the ability to maintain a U.S. Secret security clearance. Competitive salary range is $220,000 - $292,000, accompanied by comprehensive benefits. #J-18808-Ljbffr

A leading construction services provider in Washington, DC is seeking a Chief Engineer. The role involves overseeing the operation and maintenance of building systems, ensuring quality control, and managing repairs. Candidates should have 7-10 years of experience, excellent communication skills, and a Universal CFC certification. This full-time position offers a competitive rate of $45.00 per hour and a comprehensive benefits package including medical and retirement plans. #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

Cyber Machine Learning Engineer Key Role 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

A leading AI technology firm in Washington seeks an AI Researcher to develop their innovative knowledge management platform. The ideal candidate holds a Master's degree and has 3+ years of experience in machine learning, NLP, and strong skills in deep learning frameworks such as PyTorch. The role offers a competitive salary of $160,000 - $175,000 per year, along with excellent benefits in a remote-first environment. #J-18808-Ljbffr

We are seeking a skilled Mechanical Engineer with over 3 years of experience to join our dynamic team. The ideal candidate will have knowledge of building systems and codes, and the ability to manage projects independently. You will engage in multi-discipline building design projects for commercial and government facilities, as well as single discipline projects, spanning small to large scopes. Your role will encompass various aspects of mechanical design services, including conceptual studies, programming, schematic documents, and construction documents under the guidance of Sr. engineers. Responsibilities + Run projects independently and perform multiple aspects of mechanical engineering services. + Engage in mechanical design services including conceptual studies, programming, and design development. + Assist in the preparation of construction documents. + Participate in the bidding process by preparing addenda, amendments, and tabulating bids. + Conduct field visits, answer RFIs, review shop drawings, and prepare record drawings during the construction phase. + Design and layout mechanical systems while considering alternative systems. + Prepare accurate and code-compliant drawings and specifications. + Review drawings produced by CADD technicians. + Coordinate with other disciplines and perform QA/QC reviews on assigned projects. Essential Skills + Proficiency in AutoCAD. + 3+ years of engineering experience. + Knowledge of mechanical engineering principles and mechanical design. + Ability to work independently and manage projects. + US citizenship is required. Additional Skills & Qualifications + Familiarity with Revit is advantageous. + EIT certificate or PE is preferred. + Bachelor's Degree in Mechanical Engineering. + Experience in sprinkler systems design is a plus. + Willingness and ability to obtain a security clearance. Work Environment This position is office-based, requiring a commitment of 5 days a week with 8-hour days starting between 7am and 8:30am, allowing flexibility to suit your schedule. Our work environment promotes a great company culture with diverse projects, including opportunities to work on high-profile assignments such as the White House projects. Enjoy engaging activities like ping pong, corn hole, Xbox, Wii, and dart tournaments, as well as annual events like a Christmas party, employee holiday lunch, cookouts, a fantasy football league, and an Atlantic City weekend trip. Job Type & Location This is a Contract to Hire position based out of Baltimore, MD. Pay and Benefits The pay range for this position is $45.67 - $57.69/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Baltimore,MD. Application Deadline This position is anticipated to close on Feb 6, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.

A technology engineering firm is seeking a Hardware Simulator Engineer / Operator to support operations and troubleshooting of hardware simulators in Washington, DC. This hands-on role includes setting up systems, running tests, and maintaining simulator availability for various events. Candidates should have a BS in engineering or computer science with at least 2 years of experience in related fields. A strong background in troubleshooting and lab tools is required. Flexibility to travel and work various hours is essential. #J-18808-Ljbffr