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Manufacturing Execution System (MES) Leader
The Clorox Company 4.6
Manufacturing engineer job in Martinsburg, WV
The MES (Manufacturing Execution System) Manager is responsible for leading the integration, management, and optimization of the MES at the Martinsburg Clorox Plant facility. This role oversees the interface of MES with SAP and other systems, ensuring seamless integration and operation. After implementation, the MES Manager will focus on system maintenance, troubleshooting, and driving continuous improvement, becoming the site expert on MES. Proficiency in PowerBI is preferred; if not, the ability to learn PowerBI is expected.
In this role, you will:
Lead and Collaborate across Manufacturing
Ensure MES dashboards deliver maximum value and are aligned with business goals.
Lead the design and integration of planning/scheduling and manufacturing excellence portions of the MES.
Develop data connectivity (e.g., OPC) between factory floor machines and MES.
Oversee the integration of MES and EWM Systems with ERP and other systems (e.g., quality and inventory management systems).
Provide MES technical guidance, governance, and troubleshooting support.
Enable site personnel to independently modify and improve the system after initial support ends.
Serve as the site's MES expert and primary point of contact for all MES-related inquiries.
Supervisory responsibility for local NSR
Collaborate and harmonize across the Litter BU
Lead MES System Integration
Coordinate with corporate resources, contractors, and site teams to ensure that MES meets site-specific needs.
Document and streamline work processes to support effective adoption and utilization of the MES.
Coach and train site personnel on MES system use and best practices.
Ensure end-to-end business processes are executable through MES, escalating any issues as needed.
Drive System Improvement and Optimization
Provide TRACC (Continuous Improvement System) support with analytics, digital workflows, and dashboard capabilities.
Identify opportunities for system enhancements and future MES module additions.
Lead and participate in training sessions to expand MES system knowledge at the facility.
Develop and implement action plans to drive system efficiency and productivity.
Participate in a Community of Practice to maintain reporting standards and share best practices across the enterprise.
What we look for:
5+ years of data analytics experience
2+ years of experience in manufacturing, warehousing, or planning environments.
Bachelor's degree from an accredited institution in relevant technical field, supply chain leadership, business management or technical field preferred.
Direct experience with MES; implementation experience preferred.
Experience in manufacturing environments, particularly on the shop floor.
Strong knowledge of ERP systems, with experience integrating MES with SAP or similar platforms.
Project management and change management experience
Ability to train others and review and customize training materials.
Problem-solving mindset: Ability to assess and resolve complex system issues quickly and efficiently.
Automation and controls knowledge: Experience working with PLCs, automation, and industrial control systems is critical for optimizing MES functionality.
IT and Systems Integration: Strong understanding of system architectures and the ability to work with IT to ensure smooth system integration.
Data Analytics: Ability to use data analytics tools to monitor system performance and support continuous improvement.
Vendor and contractor management: Experience in managing vendor relationships and coordinating external support during system implementation or troubleshooting.
PLC Controls experience and familiarity with data connectivity protocols such as OPC for machine-to-system communication.
PowerBI experience preferred or ability to learn it.
$66k-100k yearly est. 3d ago
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Mechanical Engineer
Actalent
Manufacturing engineer job in Sterling, VA
We are seeking 2 Mechanical Engineers to drive the mechanical integration of advanced sensor systems onto a 4 seat, rugged vehicle. This role involves designing mounting solutions for all components, optimizing space for mission equipment, and ensuring ruggedness and operational reliability under demanding conditions. Key Responsibilities • Lead mechanical design efforts for the project, ensuring all components are properly integrated onto the vehicle platform. • Select mechanical mounting points for all components on the vehicle, considering: Human factors and operator ergonomics, Maximizing available payload bed space for mission gear (e.g., rucksacks), and Optional mission equipment rack occupying the rear seating area. • Collaborate with Prime to incorporate RF interference considerations into mounting location design. • Design mechanical mounting brackets or apparatus for all components, ensuring: Components remain below the highest point of the stock vehicle design during transport and RF sensor mast and other components can optionally elevate above the roll cage post-deployment (variable geometry). • Integrate cable routing into the design with emphasis on: Ruggedness and resistance to damage during aggressive vehicle operation and Secure and protected cable runs for long-term durability.
Skills
solidworks, ruggedized, military, Mounting, vehicle, MHZR, human factors
Top Skills Details
solidworks,ruggedized,military,Mounting
Additional Skills & Qualifications
Required Qualifications • Bachelor's degree in Mechanical Engineering or related field (or equivalent experience). • Proven experience in mechanical design for ruggedized or military platforms. • Expertise in CAD tools (ideally Solidworks) and mechanical integration for complex systems. • Strong understanding of human factors and space optimization in vehicle design. • Eligible for US DoD Clearance Preferred Qualifications • Experience with Polaris MRZR or similar tactical vehicles. • Familiarity with RF interference considerations in mechanical design. • Knowledge of coatings and finishes for military-grade durability.
Experience Level
Intermediate Level
Job Type & Location
This is a Contract position based out of Sterling, VA.
Pay and Benefits
The pay range for this position is $85.00 - $85.00/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 hybrid position in Sterling,VA.
Application Deadline
This position is anticipated to close on Jan 19, 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 for other accommodation options.
$85-85 hourly 6d ago
Agentic AI Machine Learning Engineer
Booz Allen Hamilton 4.9
Manufacturing engineer job in McLean, VA
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 sof 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 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 Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL), and with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex* Experience in 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* TS/SCI 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 with a polygraph* 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; TS/SCI 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.**About Booz Allen Hamilton**Booz Allen is an advanced technology company delivering outcomes with speed for America's most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting-edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeed-accelerating the nation to realize our purpose: Empower People to Change the World. **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.**Accommodations**If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of our employment process, please contact the Booz Allen Help Desk by calling ************** or sending an email to ****************. **This option is reserved only for individuals who are requesting a reasonable workplace accommodation.** It is not intended for other purposes or inquiries. **Data Privacy** For more information on how Booz Allen uses your information, please see our .
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$99k-225k yearly 5d ago
Machine Learning Engineer
Steampunk
Manufacturing engineer job in McLean, VA
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.
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$115k-150k yearly 1d ago
Distinguished Machine Learning Engineer
Capital One 4.7
Manufacturing engineer job in McLean, VA
As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.
What you'll do in the role:
Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams
Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems
Lead large-scale ML initiatives with the customer in mind
Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
Optimize data pipelines to feed ML models
Use programming languages like Python, Scala, C/C++
Leverage compute technologies such as Dask and RAPIDS
Evangelize best practices in all aspects of the engineering and modeling lifecycles
Help recruit, nurture, and retain top engineering talent
Basic Qualifications:
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
Preferred Qualifications:
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 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.
McLean, VA: $269,100 - $307,200 for Distinguished Machine Learning Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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).
$79k-102k yearly est. 1d ago
Senior Mechanical Engineer
Futures Consulting
Manufacturing engineer job in Bethesda, MD
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.
$89k-118k yearly est. 1d ago
Generative AI & Machine Learning Engineer
Refinitiv
Manufacturing engineer job in McLean, VA
# **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
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$74k-108k yearly est. 5d ago
Senior Signal Processing Engineer
Leidos 4.7
Manufacturing engineer job in Bethesda, MD
Today, Electronic Warfare (EW) is a growing enterprise - protecting the warfighter and our national security against ever-adapting threats. Due to success of continued growth - the Leidos Innovations Center (LInC) at Leidos (in Arlington, VA or San Diego, CA) currently has an opening for a Senior Signal Processing Engineer.
As a LInC EW Senior Signal Processing Engineer, you will be responsible for research, design, and development of signal collection, processing and dissemination systems. Duties may include designing, developing, and analyzing systems for the extraction of information from signal sensors - and also serving as Technical Team Lead. You will support the Division by achieving program objectives, leading technical teams - and participate in business development activities. The ideal candidate will possess superior analytical and problem-solving skills, operate independently with limited supervision and feedback, be a strong team player, and have the ability to establish solid working relationships with technical staff members and peers within the division as well as our external Government customers.
Regular tasks will include a mix of the following:
Lead and develop novel and advanced algorithms, performance simulation, and analysis - using simulated and real data in both time series and spectral domains
Serve as Principal Investigator on complex multi-disciplinary programs.
Mentors and coaches other technical staff.
Lead or support marketing and business development initiatives: develop technical solutions and new ideas for response to capture efforts (e.g., BAAs, RFPs etc.)
Participate in, and/or lead, lab-based and field testing
Lead and/or engage in multiple projects
Communicate results in briefings and written material to your team, the Customer and management
At Leidos, we offer competitive benefits ******************************************* including 4 or more weeks Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Advanced Warfare Technology!
Basic Qualifications:
Must be U.S. Citizen with an active Secret clearance and the ability to obtain a TS/SCI level clearance
Masters with 15+ years prior relevant experience, or Masters with 10+ years prior relevant experience
Fluent with tools such as MATLAB, Linux, Mathematica, Python, Simulink - and languages such as C/C++, Java etc.
Working knowledge areas such as digital filtering, spectral estimation, detection and estimation theory, linear algebra and stochastic processes
Demonstrated leadership of small multi-disciplinary technical teams and/or projects
Demonstrated strong oral and written communication
Experience working in EW, SIGINT and/or radar fields as a technical leader
Preferred Qualifications:
Doctoral degree
Business Development and Capture experience (e.g., Proposals, white papers etc.)
Experience working in a Research and Development (R&D) environment
AWTLINC
Original Posting:
November 5, 2025
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
$154,050.00 - $278,475.00
The Leidos pay range for this job level 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 the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
About Leidos
Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ***************
Pay and Benefits
Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ************************************
Securing Your Data
Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at *****************************.
If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
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$81k-100k yearly est. 2d ago
Research Engineer - Applied Machine Learning
Novateur Research Solutions
Manufacturing engineer job in Ashburn, VA
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.
$73k-104k yearly est. 1d ago
Deep Learning R&D Software Engineer
Expedition Technology
Manufacturing engineer job in Herndon, VA
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
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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.
$77k-105k yearly est. 2d ago
HVAC and Plumbing Quality Control Engineer (Engineer II)
Fairfax County Government 4.3
Manufacturing engineer job in Fairfax, VA
Job Announcement
Under the direction of the supervisor, performs quality control and assurance of contractor work for the repair, maintenance, and replacement of complex commercial building HVAC and plumbing equipment for a portfolio of over 250 critical commercial buildings comprising of over 12 million gross sq feet of rentable space. Buildings include but are not limited to single story, multi-story and high-rise buildings. The incumbent will provide strong knowledge of commercial building complete mechanical equipment and systems.
Other duties include:
Ensures all contractor work as well as operations are compliant with the Virginia Uniform Statewide Building Code and state and federal regulation such as Department of Environmental Quality (DEQ), OSHA, and Environmental Protection Agency (EPA).
This role requires good physical ability, as the engineer will spend 75% of their day in the field conducting inspections and driving to sites.
Employees may perform other related duties to meet the ongoing business needs of the organization.
Required Knowledge Skills and Abilities
(The knowledge, skills and abilities listed in this specification are representative of the class but are not an all-inclusive list.)
Depending on the functional area of assignment:
Knowledge of the principles, theory and practice of civil, architectural, and environmental engineering or urban planning;
Knowledge of the principles, practices and techniques relating to construction project management and contract administration;
Knowledge of computer applications and software (such as CAD) that are associated with the preparation of plans and engineering computations;
Knowledge of topographic and construction surveying;
Knowledge of common methods and equipment used in engineering design/construction and of inspection methods used in reviewing such work;
Knowledge of real property descriptions;
Knowledge of environmental testing methods;
Knowledge of state and federal laws and regulations regarding solid waste management;
Knowledge of Virginia Uniform Statewide Building Code and the codes and ordinances that apply to building construction in Fairfax County;
Ability to gain familiarity with the Public Facilities Manual;
Ability to work in a team environment;
Ability to train and supervise staff;
Ability to review construction documents, designs and proposals for costs, design requirements and compatibility with county standards, guides and operational needs;
Ability to prepare reports, specifications, and contract documents;
Ability to conduct public meetings;
Ability to prepare technical reports and to present findings in a clear and concise format;
Ability to make accurate drawings and maps;
Ability to make accurate computations and neat and accurate field notes;
Ability to collect and compile research data.
Employment Standards
MINIMUM QUALIFICATIONS:
Any combination of education, experience, and training equivalent to the following:
(Click on the aforementioned link to learn how Fairfax County interprets equivalencies for "Any combination, experience, and training equivalent to")
Graduation from a four-year college or university accredited by the Accreditation Board of Engineering and Technologies with a bachelor's degree in the appropriate engineering or architectural field; plus one year of professional experience in the appropriate engineering field.
Upon successful completion of three years of professional engineering experience, Engineer II employees are eligible for a non-competitive appointment to Engineer III within the engineering discipline for which they have been trained.
CERTIFICATES AND LICENSES REQUIRED:
Valid driver's license
NECESSARY SPECIAL REQUIREMENTS:
The appointee to this position will be required to complete a criminal background check, driving record check, and pre-employment medical evaluation to the satisfaction of the employer.
PREFERRED QUALIFICATIONS:
Current and valid Master HVAC License
Fundamental knowledge of Trane, Siemens, Automated Logic, and Delta Building Automation Controls with 3 years operator experience.
7 years of experience as the lead and accountable person for the maintenance, repair, and operation of complex commercial HVAC equipment in high-rise, mid-rise, and low-rise buildings with a portfolio of over 3 million square feet to include two years of supervisory experience.
3 years of experience supporting and overseeing commercial Facilities Maintenance HVAC contractors and contracts.
Demonstrated experience and strong familiarity with commercial building Building Automation Systems in the maintenance, repair, and operation of large commercial building HVAC systems.
Experience with the management and oversight of the operations/maintenance of a large physical plant commercial building LEED certified HVAC system energy efficiency.
Experience reviewing and managing a commercial building HVAC system maintenance, repair, and operations program with over $2M in annual expenses as the lead, primary and accountable decision maker, and mechanical technical expert.
Good verbal and written communication skills.
Ability to read and understand HVAC and associated subsystems design documents to include blueprints, building plans, specifications, and warranties.
PHYSICAL REQUIREMENTS:
Must be able to climb up 12 ft step ladders and extension ladders, fixed wall and roof mount ladders, and cage ladders up to 35 ft as well as climb stairs up to 12 stories. Must be able to bend, stoop, crouch, crawl, balance, and work in tiring and uncomfortable positions. Must have mobility for standing, sitting, walking, bending, stooping, reaching, twisting, kneeling, reaching overhead, grasping, moving equipment, pushing, pulling for extended periods of time while performing work. Good dexterity for hands on work. Specific vision abilities include close vision, distance vision, color vision and depth perception. Ability to hear normal building equipment and alarms and verbal warnings in occupied buildings and building sub-system work areas. Must be able to wear and physically complete necessary tasks while wearing OSHA approved and required Personal Protective Equipment (PPE) to include but not limited to safety shoes, safety gloves, hardhat, safety clothing, ear protection, respirator, etc. All duties performed with or without reasonable accommodations.
SELECTION PROCEDURE:
Panel interview and may include exercise.
Fairfax County is home to a highly diverse population, with a significant number of residents speaking languages other than English at home (including Spanish, Asian/Pacific Islander, Indo-European, and many others.) We encourage candidates who are bilingual in English and another language to apply for this opportunity.
Fairfax County Government prohibits discrimination on the basis of race, color, religion, national origin, sex, pregnancy, childbirth or related medical conditions, age, marital status, disability, sexual orientation, gender identity, genetics, political affiliation, or military status in the recruitment, selection, and hiring of its workforce.
Reasonable accommodations are available to persons with disabilities during application and/or interview processes per the Americans with Disabilities Act. TTY . EEO/AA/TTY.
#LI-RS1
Design, develop, and optimize software applications that bridge technical teams and end-users, addressing business needs through innovative solutions and enhancing member or internal user experiences. Leverage the full software development lifecycle, including design, coding, testing, and deployment, to ensure efficient system improvements. Work under minimal supervision and use complete understanding of business needs and objectives to support projects that have an impact on the achievement of operational goals. Advanced skill set and proficiency with procedures and techniques.
Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
Responsibilities
Experience with Oracle Integration Cloud (OIC), Oracle Visual Builder and Ivalua VenDoor SaaS applications and other middleware tools
Leads the design, development, and deployment of integrations across Oracle SaaS, Ivalua VenDoor and other third-party systems, ensuring a robust and scalable API architecture
Collaborate with engineers, stakeholders, and team members to gather and analyze requirements and translate them into technical specifications, propose innovative solutions, and ensure timely task completion
Write advanced, clean, scalable, and maintainable code that adheres to industry best practices and organizational coding standards
Implement data structures and algorithms efficiently, optimizing code for performance, scalability, and user experience
Identify, troubleshoot, and resolve advanced application functionality, performance, and bugs, ensuring quality and system improvements
Lead small projects and initiatives, while building strong working relationships with stakeholders, team members and subject matter experts, driving collective success and continuous improvement
Contribute to generating and adhering to application and software development engineering policies, standards, and procedures
Continuously learn from individual and team experiences, fostering growth and improvement through collaboration and continuous feedback
Qualifications
Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent combination of education and experience).
5+ years of experience in application or software development engineering.
Advanced knowledge of Oracle Cloud technologies (HCM and ERPPVM) and Ivalua Saas applications, providing architectural and design guidance across integrations and extensions.
Handson experience designing, building, and maintaining web services and integrations (REST/JSON, SOAP/XML, SFTP), with strong focus on secure authentication/authorization, robust error handling, and endtoend observability.
Demonstrated ability to develop and support complex integration flows in Oracle Integration Cloud (OIC), including appdriven/orchestrated flows, filebased processes, connectivity agents, lookups, and scheduled integrations; strong understanding of operating integrations on Oracle Cloud Infrastructure (OCI) (API Gateway, Functions, Object Storage, Logging/Monitoring).
Solid experience with API design and lifecycle management, including specification, versioning, proxy design, rate limiting/throttling, retries, idempotency, and integration patterns such as pub/sub, bulk ingestion, and near real time REST endpoints.
Deep grounding in the Oracle Cloud application stack and tools leveraged across PVM-BI Publisher/OTBI, Redwood, Application Framework (OAF), and APEX-to extend, integrate, and enhance ERPPVM capabilities.
Proficiency with Git and GitHub, including modern branching strategies, pullrequest workflows, code reviews, mergeconflict resolution, and release tagging; experienced using GitHub Actions to build, test, and deploy integration assets with secure secrets management and environmentbased deployment gates.
Strong ability to translate business requirements into actionable technical designs, including advanced data modeling, analytics, and visualization.
Proficient in Oracle 10g, Core Java, JDeveloper, HTML, JavaScript, Unix Shell scripting, and PL/SQL, enabling the development of secure, scalable custom solutions.
Skilled in configuring BPM approval workflows for requisitions, purchase orders, supplier registrations, and profile changes while ensuring alignment with business rules and compliance standards.
Advanced proficiency in software development methodologies (including Agile), version control systems, and modern engineering best practices.
Expertise with programming languages and toolsets such as SQL, Python, JavaScript, HTML/CSS, and modern frameworks and libraries.
Strong understanding of database structures, web technologies, and application architectures, allowing for scalable solution design and implementation.
Excellent problemsolving, analytical, and troubleshooting abilities, with demonstrated success in resolving complex technical challenges.
Strong written and verbal communication skills for explaining complex technical concepts to both technical and nontechnical stakeholders.
Experience with software testing, quality assurance, and performance optimization for scalable, maintainable applications.
Advanced knowledge of ticketing systems, customer support tools, and knowledgebase platforms to support effective incident resolution.
Deep experience applying data structures and algorithms to optimize performance and scalability.
Proven ability to independently manage projects and contribute to the development and adoption of engineering standards, policies, and procedures.
Hours: Monday - Friday, 8:00AM - 4:30PM
Location: 820 Follin Lane, Vienna, VA 22180
About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion.*
Fortune
100 Best Companies to Work For 2025* Yello and WayUp Top 100 Internship Programs* Computerworld Best Places to Work in IT* Newsweek Most Loved Workplaces* 2025 PEOPLE Companies That Care* Newsweek Most Trustworthy Companies in America* Military Times 2025 Best for Vets Employers* Best Companies for Latinos to Work for 2024* Forbes 2025 America's Best Large Employers* Forbes 2025 America's Best Employers for New Grads* Forbes 2025 America's Best Employers for Tech Workers* 2025 RippleMatch Campus Forward Award Winner for Overall Excellence* Military.com Top Military Spouse Employers 2025* 2025 Handshake Early Talent AwardFrom
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. 2025
Fortune
Media IP Limited. All rights reserved. Used under license.
Fortune
and
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Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
$97k-127k yearly est. 6d ago
Analytics and Data Engineering Team Lead - TS/SCI Required
LMI Consulting, LLC 3.9
Manufacturing engineer job in Reston, VA
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.
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$123k-163k yearly est. 2d ago
Aviation Safety Staff Engineer (Design, Certification, MMEL, and Operations)
Air Line Pilots Association (ALPA
Manufacturing engineer job in Tysons Corner, VA
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
$96k-137.2k yearly 2d ago
Mechanical Engineer
Actalent
Manufacturing engineer job in Rockville, MD
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.
$58-80 hourly 5d ago
Distinguished Machine Learning Engineer
Capital One 4.7
Manufacturing engineer job in McLean, VA
As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.
What you'll do in the role:
Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams
Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems
Lead large-scale ML initiatives with the customer in mind
Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
Optimize data pipelines to feed ML models
Use programming languages like Python, Scala, C/C++
Leverage compute technologies such as Dask and RAPIDS
Evangelize best practices in all aspects of the engineering and modeling lifecycles
Help recruit, nurture, and retain top engineering talent
Basic Qualifications:
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
Preferred Qualifications:
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 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.
McLean, VA: $269,100 - $307,200 for Distinguished Machine Learning Engineer
New York, NY: $293,600 - $335,100 for Distinguished Machine Learning Engineer
Cambridge, MA: $269,100 - $307,200 for Distinguished Machine Learning Engineer
San Francisco, CA: $293,600 - $335,100 for Distinguished Machine Learning Engineer
San Jose, CA: $293,600 - $335,100 for Distinguished Machine Learning Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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).
$79k-102k yearly est. 1d ago
Senior Signal Processing Engineer
Leidos 4.7
Manufacturing engineer job in Arlington, VA
Today, Electronic Warfare (EW) is a growing enterprise - protecting the warfighter and our national security against ever-adapting threats. Due to success of continued growth - the Leidos Innovations Center (LInC) at Leidos (in Arlington, VA or San Diego, CA) currently has an opening for a Senior Signal Processing Engineer.
As a LInC EW Senior Signal Processing Engineer, you will be responsible for research, design, and development of signal collection, processing and dissemination systems. Duties may include designing, developing, and analyzing systems for the extraction of information from signal sensors - and also serving as Technical Team Lead. You will support the Division by achieving program objectives, leading technical teams - and participate in business development activities. The ideal candidate will possess superior analytical and problem-solving skills, operate independently with limited supervision and feedback, be a strong team player, and have the ability to establish solid working relationships with technical staff members and peers within the division as well as our external Government customers.
Regular tasks will include a mix of the following:
Lead and develop novel and advanced algorithms, performance simulation, and analysis - using simulated and real data in both time series and spectral domains
Serve as Principal Investigator on complex multi-disciplinary programs.
Mentors and coaches other technical staff.
Lead or support marketing and business development initiatives: develop technical solutions and new ideas for response to capture efforts (e.g., BAAs, RFPs etc.)
Participate in, and/or lead, lab-based and field testing
Lead and/or engage in multiple projects
Communicate results in briefings and written material to your team, the Customer and management
At Leidos, we offer competitive benefits ******************************************* including 4 or more weeks Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in Advanced Warfare Technology!
Basic Qualifications:
Must be U.S. Citizen with an active Secret clearance and the ability to obtain a TS/SCI level clearance
Masters with 15+ years prior relevant experience, or Masters with 10+ years prior relevant experience
Fluent with tools such as MATLAB, Linux, Mathematica, Python, Simulink - and languages such as C/C++, Java etc.
Working knowledge areas such as digital filtering, spectral estimation, detection and estimation theory, linear algebra and stochastic processes
Demonstrated leadership of small multi-disciplinary technical teams and/or projects
Demonstrated strong oral and written communication
Experience working in EW, SIGINT and/or radar fields as a technical leader
Preferred Qualifications:
Doctoral degree
Business Development and Capture experience (e.g., Proposals, white papers etc.)
Experience working in a Research and Development (R&D) environment
AWTLINC
Original Posting:
November 5, 2025
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
$154,050.00 - $278,475.00
The Leidos pay range for this job level 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 the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
About Leidos
Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ***************
Pay and Benefits
Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ************************************
Securing Your Data
Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at *****************************.
If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
#J-18808-Ljbffr
As an Oracle Cloud Fusion Financials Engineer, the candidate would understand the business requirements, abstract the requirements, and design a configurable, extensible, scalable, performant, robust solution for Oracle Fusion Financials.
The person will be responsible for providing technical solutions to implement Oracle Cloud Fusion Financials, ensuring the designed solutions are workable by coding or piloting in key modules, and being agile and innovative to solve business problems. Individuals in this role will work on multiple highly complex projects and require technical knowledge of Oracle cloud architecture approach and have experience of Oracle cloud technology stack. In this role, the candidate will be expected to work on multiple projects and be able to collaborate in multiple engagements across the product teams.
Positions in this function would be responsible for delivering professional level technical work in support of the development of applications, tools, platforms, and services. The person would need to operate within established methodologies, procedures, and guidelines and apply knowledge of principles and techniques to solve technical problems. Work is self-directed and not prescribed. Work involves understanding the customer's business challenges and producing solutions to solve the problem with enhanced features and process flows while including advanced technology components and working with system implementors and vendors. The person would also engage with various stakeholders to research and provide evidence related to IT audit questions and observation raised by Finance Internal Control Over Financial Reporting (ICFR) Team, Technology Risk Team, Internal Audit, and External Audit Teams. This position also requires independently working with various cross-functional team members to design and develop solutions and provide IT support for critical processes including supporting the IT month-end, quarter-end, and year-end tasks including the generation of vendor 1099 files and reports.
The candidate must be experienced in various architecture patterns, have participated in the full Software Development Life Cycle (requirements, Design, Development, Deployment, and Support) and Agile SAFe methodologies, Be Able to Communicate Solution Requirements and Architecture with Technical and Non-technical Stakeholders. This role also requires outstanding communications skills.
Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
Responsibilities
Be part of a team that works with the development and integration of Oracle Cloud Fusion Financials with respect to application/enterprise capabilities and software for multiple on-going projects, collaborating closely with enterprise and solution architects, aligning to most current strategies.
Responsible for systems analysis, design, development, integration, enhancement, and deployment as well as application support for various applications
Manage the deployment of new modules, upgrades, and fixes
Develop new reports using Oracle Cloud Reporting applications
Define, develop, or modify software application modules or enterprise-wide software systems using disciplined development processes
Implement integration plans and interface with testing teams to incorporate plans into the integration testing process
Research, evaluate, recommend, and implement information technology that aligns with business needs and meets objectives
Use holistic knowledge of all products in the information technology ecosystem to plan how new systems will be built and integrated
Install, maintain, and perform configuration of infrastructure applications
Review solutions to ensure alignment with customer objectives, organization guidelines/benchmarks and industry best practices
Provide technical direction and leadership routinely to other engineers; serve as a coach and mentor
Identify potential problems in design, quality, or operation and initiate corrective action
Identify opportunities to effectively mitigate risk and improve performance and functionality
Independently research and provide evidence related to IT audit questions and observations raised by Finance Internal Control Over Financial Reporting (ICFR) Team, Technology Risk Team, Internal Audit, and External Audit Teams.
Provide IT support for critical processes including the month-end, quarter-end, and year-end tasks including the generation of year-end vendor 1099 files and reports.
Qualifications
Bachelor's degree in Computer Science, Information Technology, or related field, or the equivalent combination of education, training, and experience
Advanced experience with Oracle Applications particularly Oracle Cloud Fusion Financials (General Ledger, Accounts Payable, Expense Management, Fixed Asset, Project Costing, and Cash Management) and Oracle Integration Cloud, and Cloud Infrastructure/Solutions
Advanced experience in developing, modifying, and deploying BI Publisher Reports and OTBI (Oracle Transactional Business Intelligence) reports
Advanced experience in Java, J2EE, and ADF based systems development
Experience with integration development using Oracle Middleware solutions such SOA suite/ Fusion Middleware
Experience with Oracle Cloud Data Conversion
Knowledge in cloud migration and engineering cloud centric environments
Experience in SQL (Oracle or MS SQL)
Experience with Agile software development practices including SAFe, Scrum, JIRA, Peer Review, Git and CI/CD
The position will require technical development skills and have thorough understanding of the development lifecycle, including software design, development, testing, and support of web applications
Knowledge of discipline engineering principles, practices, and theories, and methods to identify and solve the highest complex problems and perform sophisticated analyses
Knowledge and understanding of the end-to-end IT process, including architecture, design & engineering, implementation, and operations
Troubleshooting skills and ability to identify root causes of issues and provide solutions
Self-motivated and proactive, able to learn quickly and apply new concepts, tools and applications
Demonstrated ability to solve complex system/integration problems through innovative solutions
Advanced problem solving, collaboration, critical thinking, team building, and presentation skills
Advanced skill applying innovative approaches to solve technical design issues
Expert verbal, interpersonal and written communication skills
Desired Qualifications
Master's degree in Computer Science, Information Technology, or related field
Some experience with private, public and hybrid cloud infrastructure (e.g., Azure, AWS, Google Cloud, etc.)
Knowledge and/or understanding of Finance or Accounting
Knowledge of banking/financial industry trends, products, and services
Knowledge of Navy Federal products, services, programs, policies, and procedures
Technical certifications for Oracle Cloud Applications and Oracle Cloud Infrastructure
Hours: Monday - Friday, 8:00AM - 4:30PM
Locations: 820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive, Pensacola, FL 32526
About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion.*
Fortune
100 Best Companies to Work For 2025* Yello and WayUp Top 100 Internship Programs* Computerworld Best Places to Work in IT* Newsweek Most Loved Workplaces* 2025 PEOPLE Companies That Care* Newsweek Most Trustworthy Companies in America* Military Times 2025 Best for Vets Employers* Best Companies for Latinos to Work for 2024* Forbes 2025 America's Best Large Employers* Forbes 2025 America's Best Employers for New Grads* Forbes 2025 America's Best Employers for Tech Workers* 2025 RippleMatch Campus Forward Award Winner for Overall Excellence* Military.com Top Military Spouse Employers 2025* 2025 Handshake Early Talent AwardFrom
Fortune
. 2025
Fortune
Media IP Limited. All rights reserved. Used under license.
Fortune
and
Fortune
Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
$97k-127k yearly est. 5d ago
Mechanical Engineer
Actalent
Manufacturing engineer job in Rockville, MD
Job Title: Mechanical EngineerJob Description
Join an innovative team in a challenging and rewarding position as a Mechanical Engineer, focusing on designing electronic packaging solutions for hand-held, tablet, and human-machine interface applications. You will engage with emerging technologies in embedded electronics, contributing to diverse industries including aerospace, defense, medical devices, and consumer electronics.
Responsibilities
+ Design mechanical subsystems and components from concept through mass production, considering environmental factors, human factors, manufacturability, and cost.
+ Document designs with drawings and manage bill of materials, maintaining traceability in PDM and ERP systems.
+ Test and validate mechanical designs against requirements, including first article inspections (FAI).
+ Design mechanical fixtures for production test infrastructure, including high volume mass production.
+ Monitor manufacturing and assembly quality and engage in continuous improvement activities.
+ Manage manufacturer and vendor relationships and initial material requirements planning for prototypes.
+ Interface with global teams to manage design tradeoffs and report schedule and cost details to project management.
Essential Skills
+ 3+ years of experience in designing products, preferably using SolidWorks.
+ Strong knowledge of printed circuit board layout mechanicals and mechanical design for rugged applications.
+ Bachelor's degree in Mechanical Engineering, Product Design, or a related technical field.
+ Proficiency in design for manufacturing (DFM) and working with 3D CAD, preferably SolidWorks.
+ Working knowledge of manufacturing processes such as injection molded plastics, sheet or machined metal designs, and 3D rapid manufacturing processes.
+ Ability to work on ITAR projects.
Additional Skills & Qualifications
+ Familiarity with Six Sigma/Lean principles.
+ Expertise in human factors/user experience design and industrial design.
+ Experience in designing for rugged applications (e.g., MIL-STD-810, IPxx, ATEX).
+ Knowledge of electromechanical assemblies like LCDs, batteries, antennas, PCBs, buttons.
+ Experience with Product Data Management (PDM) and Enterprise Resource Planning (ERP) tools, particularly SolidWorks and SAP.
+ Experience working under ISO9001 and/or AS9100 quality systems, ITAR export controls.
Work Environment
This is a fully in-person role based in Rockville, MD, where you will work in a small, dynamic multi-disciplinary team of 30 members. The position offers a collaborative environment with exposure to cutting-edge technologies in embedded electronics.
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 $100000.00 - $110000.00/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 19, 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.
$100k-110k yearly 3d ago
Lead Machine Learning Engineer (Gen AI, Python, Go, AWS)
Capital One 4.7
Manufacturing engineer job in McLean, VA
As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You'll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You'll focus on building robust ML serving architecture, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously apply the latest innovations and best practices in machine learning engineering.
What you'll do in the role
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
Design, build, and deliver GenAI models and componentsthat solve complex business problems, while working in collaboration with the Product and Data Science teams.
Design and implement cloud-native ML Serving Platforms leveraging technologies like Docker, Kubernetes, KNative, and KServe to ensure optimized and scalable deployment of models.
Solve complex scaling and high-availability problems by writing and testing performant application code in Python and Go-lang, developing and validating ML models, and automating tests and deployment.
Implement advanced MLOps and GitOps practices for continuous integration and continuous deployment (CI/CD) using tools like ArgoCD to manage the entire lifecycle of models and applications.
Leverage service mesh architectures like Istio to manage traffic, enhance security, and ensure resilience for high-volume serving endpoints.
Retrain, maintain, and monitor models in production.
Construct optimized, scalable data pipelines to feed ML models.
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
Use programming languages like Python, Go, Scala or Java
Basic Qualifications:
Bachelor's Degree
At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
At least 4 years of experience programming with Python, Scala, Go or Java
At least 2 years of experience building, scaling, and optimizing ML systems
Preferred Qualifications:
Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field
3+ years of experience building production-ready data pipelines that feed ML models
3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
2+ years of experience developing performant, resilient, and maintainable code
2+ years of experience with data gathering and preparation for ML models
2+ years of people leader experience
1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer
McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer
New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer
San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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).
How much does a manufacturing engineer earn in Frederick, MD?
The average manufacturing engineer in Frederick, MD earns between $68,000 and $114,000 annually. This compares to the national average manufacturing engineer range of $60,000 to $102,000.
Average manufacturing engineer salary in Frederick, MD
$88,000
What are the biggest employers of Manufacturing Engineers in Frederick, MD?
The biggest employers of Manufacturing Engineers in Frederick, MD are: