Machining engineer jobs in District of Columbia

Take2 has proven experience bridging the intersection of technology and people solutions. As a proven, trusted provider for our Federal and commercial clients, we provide the right solutions, at the right time through trusted partnerships, customized to solve our client's unique business challenges. Take2 invests time, discipline, and rigor into our technology and people solutions, as well as utilizes our proprietary People Cloud. Whether we are bridging the gap between IT talent and our customers' business challenges, Take2 will work as a partner to best resolve client needs. Take2 is hiring an experienced and cleared Case Management Engineer / Cyber Security Engineer. This role requires you to hold at a minimum a TS/SCI clearance to interview. This position is onsite and will require you to work out of Washington, D.C., Reston, VA, Riverdale, MD, or Norfolk, VA. Job Description: Case Management Engineer / Cyber Security Engineer Position Description: We are looking for a Backend Security Engineering Case Management Engineer to architect and implement the backend foundation of our next-generation case management platform. This role is focused on backend systems design, data architecture, integration engineering, and workflow enablement, ensuring the platform serves as a scalable, extensible system-of-record for security programs. Responsibilities include collaborating with program architects to design the backend infrastructure for a modern security case management solution, including data models, storage layers, metadata standards, and service orchestration. Establishing engineering standards for API design, data handling, security, error management, and auditability. Designing and implement high-performance APIs, microservices, and system components that support case lifecycle workflows. Building the foundational taxonomy and object models for cases, entities, evidence, workflows, and automation triggers. Driving platform scalability, reliability, and performance through best-practice engineering patterns. Developing backend integrations between the case management platform and security tools such as SIEM, EDR, vulnerability management platforms, threat intelligence sources, identity systems, and ticketing/ITSM platforms. Building and maintaining API services, event pipelines, data ingestion jobs, and synchronization services. Implementing automated backend workflows to support case routing, enrichment, evidence linkage, and cross-platform data federation. Ensuring the platform adheres to industry security practices, including authentication, authorization, and secure data transmission. Maintaining documentation including backend architecture diagrams, schema definitions, integration specs, and operational runbooks. Collaborating with frontend teams, product owners, and platform architects to ensure cohesive end-to-end system design. Basic Qualifications: 5+ years of backend engineering or platform engineering experience. Strong proficiency in backend languages (e.g., Python, Java, Go, Node.js). Demonstrated experience architecting or integrating with workflow, case/ticketing, or automation platforms (e.g., ServiceNow, Jira, TheHive, custom-built systems). Deep experience designing APIs (REST, GraphQL) and event-driven systems. Strong skills in integrating complex systems using APIs, message queues, streaming platforms, and ETL pipelines. Solid knowledge of security engineering concepts, secure coding standards, and platform hardening for highly regulated environments (e.g. DoD, Energy, Finance). Active TS/SCI clearance; willingness to take a polygraph exam Associate's degree and 5+ years of experience supporting IT projects and activities, Bachelor's degree and 3+ years of experience supporting IT projects and activities, or Master's degree and 1+ year of experience supporting IT projects and activities. Years of experience may be accepted in lieu of degree. DoD 8570.01-M Information Assurance Technician (IAT) Level II Certification, including Security+ CE, CCNA-Security, GSEC, SSCP, CySA+, GICSP, or CND Certification Ability to obtain a DoD 8570.01-M Cybersecurity Service Provider - Infrastructure Support Certification, including CEH, CHFI, CFR, Cloud+, or CND certification within 30 days of start date Additional Qualifications: Strong architectural and system design capabilities Ability to translate platform requirements into scalable backend implementations Strong attention to detail with a focus on reliability and maintainability Excellent communication and cross-functional collaboration Database expertise (SQL and NoSQL), schema design, and performance optimization. Exposure to cloud-native architecture in AWS, GCP, or Azure. Familiarity with data modeling for security or operational systems.

Industry: Architecture & Technology Integration Employment Type: Full-Time About the Role: Our client is a forward-thinking design firm that specializes in fusing workplace architecture with modern AV and smart technology. They are seeking an Audio Visual Design Engineer to help bridge the gap between architectural design and cutting-edge workplace technology. This individual will play a pivotal role in developing intelligent, collaborative, and future-ready environments by integrating audio-visual and IT systems into architectural plans. Key Responsibilities: Collaborate on the planning and design of workplaces with integrated AV, IT, and smart building systems. Create design documentation, drawings, and specifications for AV and workplace technologies including conference rooms, digital signage, and collaboration tools. Coordinate with consultants, vendors, and project teams to ensure cohesive and seamless technology integration. Participate in client meetings, offering insight into AV/tech trends and system integration strategies. Review architectural and MEP drawings to align infrastructure requirements. Conduct site visits during construction phases to confirm implementation accuracy. Qualifications: Bachelor's or Master's degree in Architecture, Interior Architecture, or a related field. 3-7 years of experience in architectural design, with a focus on workplace and technology integration. Experience in Commercial Office Furniture Systems (planning, integration, or coordination). Solid understanding of AV systems such as video conferencing, sound masking, and collaboration tech. Skilled in Revit, AutoCAD, Bluebeam, and Adobe Creative Suite. Ability to interpret technical AV/IT system drawings and documentation. Strong communication and teamwork skills. CTS certification or an interest in obtaining AV/IT-related credentials is a plus. Bonus Points For: Familiarity with WELL, LEED, or other sustainability frameworks. Knowledge of workplace IoT and smart building systems. Exposure to acoustics, lighting, or environmental controls. Compensation Base salary can go up to $120K (Depending on the candidate's experience)

Company Profile: At CAVA we make it deliciously simple to eat well and feel good every day. We are guided by a Mediterranean heritage that's been perfecting how to eat and live for four thousand years. We prioritize authenticity, curiosity and the pursuit of excellence in everything we do. We are working towards something big , together. We foster a culture built on five core values: Generosity First, Always: We lead with kindness. Our best work happens when we act in service of others. Constant Curiosity: We are eager to learn, grow, and explore beyond the obvious. Act with Agility: We welcome change; it's the only constant. We embrace, adjust, adapt. Passion for Positivity: We greet each day with warmth and possibility. Collective Ambition: We have high aspirations that are achieved when we work together with a shared purpose. Senior Platform Engineer Are you a seasoned senior cloud engineer with a deep passion for AWS and a desire to fuel CAVA's growth through innovative cloud solutions? We're seeking a highly skilled Senior Cloud Engineer to design, implement, and manage our cloud infrastructure, supporting CAVA's mission to redefine the fast-casual dining experience. This role requires a strategic thinker who can translate CAVA's business objectives into robust and scalable cloud architectures that enhance guest experience, optimize operations, and drive growth What You'll Do: Cloud Architecture: Design and implement cloud architecture leveraging AWS services to meet business needs. Infrastructure Management: Manage and optimize AWS infrastructure, including EC2, VPC, S3, RDS, and other relevant services. DevOps: Collaborate with development teams to implement DevOps practices and CI/CD pipelines. Security: Implement and maintain security best practices, including IAM, encryption, and vulnerability management. Cost Optimization: Analyze cloud usage and identify opportunities to optimize costs. Automation: Automate infrastructure provisioning and management using tools like CloudFormation or Terraform. Troubleshooting: Diagnose and resolve complex cloud-related issues. Mentorship: Provide technical guidance and mentorship to junior engineers. Execute effective decision-making skills to led team to succeed Maintain emotional stability in stressful situations; lead by example for how our team should handle adversity Abide by policies and procedures that support the service mindset Manage timeline expectations within and across teams, deliver on our responsibilities accordingly Earn the trust of Team Members and Managers by consistently embracing CAVA's values Show discipline in bringing consistent performance, communication, and attitude to the job every day Actively contribute to your department in order to complete tasks and meet company goals Recognize the emotional stake each Team Member has in personal and organizational success of this business The Qualifications: 5+ years of experience in cloud computing, with a strong focus on AWS. Advanced knowledge of AWS services, including EC2, VPC, S3, RDS, IAM, and more. Experience with infrastructure as code (IaC) tools like CloudFormation or Terraform. Strong scripting skills (Python, Bash, PowerShell). Understanding of networking, security, and compliance best practices. Ability to work independently and as part of a team. Strong communication and interpersonal skills. Physical Requirements: Ability to maintain stationary position to be able to operate a computer and other office equipment Must be able to identify, analyze and assess details For certain positions, must be able to occasionally move or transport items up to 50 pounds Ability to communicate with others and exchange information accurately and effectively Constantly positions self and move about to support ordinary restaurant or food production support or office operations, as applicable Ability to work in a constant state of alertness and in a safe manner What we offer: Competitive salary, plus bonus and long-term incentives* Early Wage Access! Unlimited PTO, paid parental leave, plus paid opportunities to give back to the community Health, Dental, Vision, Telemedicine, Pet Insurance plus more! 401k enrollment with CAVA contribution Company-paid STD, LTD, Life and AD&D coverage for salaried positions* Free CAVA food Casual work environment The opportunity to be on the ground floor of a rapidly growing brand All exempt and non exempt employees are eligible for benefits. Benefits are effective the 1st of the month following 30 days of service and you have until the day before the effective date to enroll. A new hire can enroll in our benefit program by selecting a link that is emailed directly to the new hire at their personal email address once hired. Please note that visa sponsorship is not available. The compensation range posted includes total cash. *Indicates qualifying eligible positions only CAVA - Joining “A culture, not a concept” This job description is not intended to be a comprehensive list of all the duties and responsibilities of the position and such duties and responsibilities may change without notice. As an equal opportunity employer, CAVA considers applicants for all positions without regard to race, color, sex, religion, national origin, disability, age, height, weight, marital status, sexual orientation, familial status, genetic information or any other characteristic or protected classes as defined by federal, state, or local law.

**Role:** This Role is part of the Data Search and Mining group, the organization is responsible for providing high quality data for our Foundational Drive Model's training and evaluation at scale. We utilized Multi-Modality Model, VLM, MLLM to provide high precision search and mining solutions for AV training and evaluation. This role will play a critical piece on accelerating experiments on cutting edge search capability and SOTA models, then productionize them to company scale. Provide scalable and cost-efficient mining solutions that are able to handle PB-level data. Support key training and evaluation projects across the company. The specific duties may include Multi-Modality MLLM model evaluation, fine-tuning, deployment, as well as bulk inference. Evaluate data quality and improve it. Provide cost estimation and analysis. Build and Utilize AI-Agent capability. Support data pipeline orchestration on distributed backend system. **What You'll Do:** + Evaluate and apply SOTA multiple modality machine learning models to search and mining needs + Modern ML modeling skills, perform fine-tuning, evaluation + Integration with other company level infrastructure such as Data infrastructure, compute platform, labeling, as well as simulation + Strong software engineering (SWE) skills, focusing on distributed backend development, batch data processing + Support autonomous vehicle (AV) technologies, understand the data challenges in AV or Robotic industry + Enthusiastic to experiment and learn the latest AI development **Your Skills & Abilities** **:** + 4+ years of experience in the field of robotics or latency-sensitive backend services + Proven experience in machine learning and classification. Familiar with ML frameworks such as Tensorflow or PyTorch + Experience building highly performant ML and system pipelines + Strong programming skills in modern C++ or Python + Experience with profiling CPU and/or GPU software, process scheduling, and prioritization + Passionate about self-driving car technology and its impact on the world + Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions. + Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain. + Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need. + Experience working with Multiple Modality models **Compensation** **:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. + The salary range for this role is $134,000 to $205,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. + Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. **Remote:** This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum. **Relocation:** This job may be eligible for relocation benefits. \#LI-MH2 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our ******************************** is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams build and maintain the platforms critical to the existence of Coinbase. There are many teams that make up this group which include Product Foundations (i.e. Identity, Payment, Risk, Proofing & Regulatory, Finhub), Machine Learning, Customer Experience, and Infrastructure. We are looking for a Senior Machine Learning Platform Engineer to join our Machine Learning Platform team. The team builds the foundational components for feature engineering and training/serving ML models at Coinbase. Our platform is used to combat fraud, personalize user experiences, and to analyze blockchains. You will get the opportunity to apply your engineering skills across all aspects of building ML at scale: stream processing, distributed training, and highly available online services. *What you'll be doing (ie. job duties):*** * Form a deep understanding of our Machine Learning Engineers' needs and our current capabilities and gaps. * Mentor our talented junior engineers on how to build high quality software, and take their skills to the next level. * Continually raise our engineering standards to maintain high-availability and low-latency for our ML inference infrastructure that runs both predictive ML models and LLMs. * Optimize low latency streaming pipelines to give our ML models the freshest and highest quality data. * Evangelize state-of-the-art practices on building high-performance distributed training jobs that process large volumes of data. * Build tooling to observe the quality of data going into our models and to detect degradations impacting model performance. *What we look for in you (ie. job requirements):*** * 5+ yrs of industry experience as a Software Engineer. * You have a strong understanding of distributed systems. * You lead by example through high quality code and excellent communication skills. * You have a great sense of design, and can bring clarity to complex technical requirements. * You treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience. * You have a mastery of the fundamentals, such that you can quickly jump between many varied technologies and still operate at a high level. *Nice to haves:* * Experience building ML models and working with ML systems. * Experience working on a platform team, and building developer tooling. * Experience with the technologies we use (Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB). Job #: GPMLP05US *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $179,300-$218,900 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** *Global Data Privacy Notice for Job Candidates and Applicants* Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ********************************************************** By submitting your application, you are agreeing to our use and processing of your data as required. *AI Disclosure* For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) About EpiSci EpiSci, an Applied Intuition company, is redefining tactical mission autonomy. These technologies span across defense and commercial domains. At our core, we wield the latest advancements in artificial intelligence, autonomy algorithms, wireless communications, and digital signal processing to surmount the most formidable national security challenges. Our tactical AI offers robustness, dependability, and a rapid adaptability that thrives on the frontlines of emerging missions and obstacles. Our AI increases human capability in aircraft like the F-22 and F-16; it's revolutionizing wireless tactical communication systems and filling the skies with swarms of autonomous UAVs supercharged by sensor fusion. About the role As a Machine Learning Engineer at Applied Intuition Defense, you will be pivotal in developing, integrating, and maintaining real-time AI/ML solutions deployed across a range of heterogenous autonomous vehicles and different domains (e.g., land, air, sea, and space). You will work with a team to continuously add capability and demonstrate the solution to customers in real-world scenarios on a variety of hardware platforms. You will be responsible for rapidly designing, developing, and integrating AI/ML models to interface across different platforms, processing data in real-time with real military operators in the loop. Your work will span the MLOps pipeline, improving ingestion and tooling, labeling and autolabeling, model architectures, training, evaluation and validation, inference-time optimization, and inference service deployment. You will have access to large training clusters with the latest GPUs, and the best AI talent and knowledge in the industry through Applied Intuition commercial ML. At EpiSci, you will: * Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to process aerial imagery across a variety of platforms and sensor types (e.g. EO, IR) * Work with the best and most competitive AI talent in the world through collaboration with Applied Intuition commercial product staff * Scale up datasets using a variety of state-of-the-art data generation techniques including simulation, diffusion, and gaussian splats * Create inference software providing low-latency, real-time feedback to autonomy software on-board live platforms * Collaborate across the hardware, sensor, tracking, autonomy, and testing teams to ensure seamless deployment in on-site DoD testing and demonstration events * Leverage software-in-the-loop and hardware-in-the-loop testing and profiling to collect performance data * Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience We're looking for someone who has: * MS or PhD in Computer Engineering, Robotic Engineering, Computer Science, or equivalent OR 5+ years of relevant experience working with simulation, machine learning, and ML infrastructure.Proficiency in training ML models in PyTorch on multi-machine, multi-GPU systems * Experience in optimizing and deploying machine learning models to edge devices * Strong Python knowledge and high capability in C++ * A core understanding of sensor physics and sensor parameters * Experience leveraging modern AI-powered development tools (e.g., GitHub Copilot, Cursor) to accelerate the creation of robust, well-tested systems * Adeptness with remote software development, the ability to handle and process large datasets, and a capacity to learn new software and algorithms as needed with little supervision Travel Requirements: * Must be willing to travel as projects require, usually for SW/HW integration and/or demonstrations; estimated average travel is 2-5 days every other month (10-20%) * Interested candidates should also inquire about relocation assistance to Applied Intuition Defense facilities near Destin, FL, Sunnyvale, CA, or Ann Arbor, MI Security Requirements: * Must be a U.S. Citizen * Must hold or be eligible for a U.S. Secret security clearance For more information about U.S. security clearances: click here. Nice to have: * PhD in Computer Vision, Machine Learning, or related field with strong academic contributions * 5+ years of experience building and deploying perception models on real-world hardware * A background in generating datasets using simulation engines like Unreal Engine, NVIDIA Omniverse, or Blender * Experience with deeply optimizing Transformer-based models for edge devices like NVIDIA Jetson boards * Proficiency in modern C++ (2020, 2023), CMake, Conan * Familiarity with Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL), including integration and test experience on common COTS hardware devices (e.g., NVIDIA Jetson, Raspberry Pi5, M.2 accelerators) * Willness to relocate to facilities near Destin, FL, Washington, D.C., or San Diego, CA Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $150,000 to $225,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Job Description Empower, Innovate, Impact! At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission! A-TEK operates at the intersection of mission and innovation by applying our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape. Our work is fueled by a passion to serve our clients' needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset - Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees. We are seeking a skilled Machine Learning / AI Engineer to design, develop, and maintain AI/ML models that enhance the processing and interoperability of federal electronic health records (EHR) data. This position places strong emphasis on FHIR and other healthcare interoperability standards to enable secure, efficient, and compliant data exchange across federal health systems. You will collaborate with federal OCIO, data governance, and health informatics teams to deliver AI-driven solutions for data ingestion, schema mapping, anomaly detection, and predictive analytics, ensuring compliance with HIPAA, FedRAMP High, and FISMA requirements. This role is remote with occasional travel to McLean, VA. The ability to obtain and retain a Public Trust Level 4 clearance is required for consideration. Key Responsibilities AI/ML Model Development: Build, train, and deploy ML models for FHIR-compliant schema mapping and patient record linkage; implement AI-driven anomaly detection; create predictive models for public health use cases. Healthcare Data Interoperability: Apply FHIR, OMOP, and HL7 standards to integrate federal EHR systems; support tokenization and privacy-preserving record linkage; enable secure interoperability across platforms. Optimization & Governance: Optimize model performance, accuracy, and interpretability; apply model governance frameworks for monitoring, retraining, and compliance; document processes for audit readiness. Required Qualifications Bachelor's or Master's in Computer Science, Artificial Intelligence, Data Science, or related field. 3+ years of hands-on ML/AI model development experience. Proficiency with AWS SageMaker, MLflow, and NLP tools. Experience with FHIR, OMOP, and/or federal EHR data. Knowledge of HIPAA, FedRAMP High, and FISMA compliance requirements. Preferred Qualifications Prior experience with HHS, CMS, FDA, or other federal public health agencies. Expertise in building data ingestion pipelines for large-scale health record systems. Certifications in AI/ML, cloud technologies, or healthcare informatics. Compensation: Salary Range: $150,000 - $160,000 annually (commensurate with experience) Benefits: Health, dental, and vision insurance; 401(k) with employer match; paid time off; professional development opportunities. Why Join Us? At A-TEK, you'll be at the forefront of federal healthcare AI innovation, developing solutions that make EHR data more secure, accessible, and actionable. You'll contribute to mission-critical projects that improve public health outcomes while working in a collaborative, growth-focused environment. A-TEK, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status. Verification of education may be requested before or during the hiring process.

Job Description Lifelenz is a fast-growing startup building its U.S. base in Chicago. Our AI-powered platform helps global brands like McDonald's optimize labor forecasting, compliance, and scheduling while giving frontline workers more control over their pay, hours, and lives. The role of the LIFELENZ Machine Learning Engineer is to aid in the designing, training, experimenting, production deployment, and monitoring of machine learning models that are developed in alignment with our mission - to build and grow a global AI-optimized scheduling and forecasting platform that will empower and reward people within the fast-food and Quick Service Restaurant (QSR) industry. LIFELENZ ML Engineers have a passion for understanding the modeling needs that solve real customer problems and devising innovative solutions to deploy, monitor, and iteratively improve modeling solutions at scale. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a relevant field with 2-4 years of experience. 1+ year experience with MLOps and maintaining machine learning model lifecycle at scale Strong knowledge and hands-on experience building or maintaining several of the following MLOps areas: Versioning and Tracking Models and Experiments (e.g. DVC, MLFlow) Iterative ML Pipeline Development and Deployment (e.g. Metaflow, Airflow, Prefect, Dagster) Container Applications (eg. Docker, Kubernetes) Visualizing ML processes (eg. Dash, Streamlit). Monitoring and debugging large amounts of models in production, maintaining observability and explainability of active ML processes Preferred Qualifications Experience with the following: Real time inference deployment and monitoring (e.g. FastAPI, Ray Serve) CI/CD practices Model Deployment Strategies (e.g. A/B testing, canary release) Cross team projects (DevOps, Data Engineering, Data Science) Salary: $110,000-$150,000

Lifelenz is a fast-growing startup building its U.S. base in Chicago. Our AI-powered platform helps global brands like McDonald's optimize labor forecasting, compliance, and scheduling while giving frontline workers more control over their pay, hours, and lives. The role of the LIFELENZ Machine Learning Engineer is to aid in the designing, training, experimenting, production deployment, and monitoring of machine learning models that are developed in alignment with our mission - to build and grow a global AI-optimized scheduling and forecasting platform that will empower and reward people within the fast-food and Quick Service Restaurant (QSR) industry. LIFELENZ ML Engineers have a passion for understanding the modeling needs that solve real customer problems and devising innovative solutions to deploy, monitor, and iteratively improve modeling solutions at scale. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a relevant field with 2-4 years of experience. 1+ year experience with MLOps and maintaining machine learning model lifecycle at scale Strong knowledge and hands-on experience building or maintaining several of the following MLOps areas: Versioning and Tracking Models and Experiments (e.g. DVC, MLFlow) Iterative ML Pipeline Development and Deployment (e.g. Metaflow, Airflow, Prefect, Dagster) Container Applications (eg. Docker, Kubernetes) Visualizing ML processes (eg. Dash, Streamlit). Monitoring and debugging large amounts of models in production, maintaining observability and explainability of active ML processes Preferred Qualifications Experience with the following: Real time inference deployment and monitoring (e.g. FastAPI, Ray Serve) CI/CD practices Model Deployment Strategies (e.g. A/B testing, canary release) Cross team projects (DevOps, Data Engineering, Data Science) Salary: $110,000-$150,000

Our client is a fast-moving AI product company, and we have partnered with them on a search for an MLOps Engineer to own and scale its internal ML platform. You'll work alongside a small team of data scientists to deploy client-specific models, automate onboarding workflows, and enhance real-time inference pipelines. What You'll Do Own and enhance a production ML platform Deploy models into real-time and batch environments Automate onboarding, improve pipelines, and streamline model delivery Lead integration, validation, and monitoring initiatives Support LLM-based agentic workflows and scalable infrastructure What You'll Bring 4+ years in MLOps or ML platform engineering Strong Python and cloud experience (GCP preferred) Hands-on with ML lifecycle tools like Vertex AI or MLFlow Comfortable building CI/CD pipelines and collaborating with data scientists This is a high-impact, hybrid role with real product influence and strong technical ownership.

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

Job DescriptionMachine Learning EngineerWashington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform. You will work closely with data scientists, data engineers, and product teams to ensure scalable, reliable, and production-grade AI solutions. You'll play a critical role in operationalizing large language models (LLMs) and other ML systems, ensuring they run efficiently, securely, and with robust monitoring in place. Key Responsibilities: Design, implement, and maintain ML deployment pipelines for scalable production systems. Operationalize large language models (LLMs) and other AI/ML models, ensuring high availability and reliability. Build robust model monitoring, logging, and alerting systems to track performance and detect drift. Partner with data scientists to transition models from research/prototype into production-ready deployments. Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment. Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed systems. Apply containerization and orchestration (Docker, Kubernetes) to enable reproducible, scalable systems. Collaborate with cross-functional teams to ensure ML systems align with platform goals and business requirements. Qualifications: 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role. Proven experience deploying and maintaining machine learning models in production at scale. Hands-on experience with ML lifecycle tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar). Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML systems. Expertise with cloud platforms (AWS, GCP, Azure) for ML deployment and scaling. Strong understanding of MLOps best practices, monitoring, and automation. Excellent problem-solving skills, with an emphasis on building reliable, scalable systems. Strong communication and collaboration skills across technical and non-technical teams.

Job Description Job Title: Machine Learning Engineer Company: Actifai The Role Actifai is looking for an experienced and motivated Machine Learning Engineer (MLE) to join our growing team. Embedded within the Data Science team, the MLE will play a critical role in scaling our ML and AI infrastructure and to support model development, deployment, and continuous reinforcement learning. This is a high-impact position tasked with shaping automation workflows and making architectural decisions. Part of the role will be building agentic AI systems. These LLM-based agents will automate complex, multi-step workflows, from customizing customer's plan recommendations to assisting sales and support teams, enabling more personalized, efficient, and scalable customer experiences. Responsibilities Build, Maintain, and Enhance Infrastructure & Systems including: The API we use for model inference, ensuring performance, reliability, and scalability. Cloud-based infrastructure for scalable and efficient model training. Robust ML pipelines for streamlined deployment and experimentation. Application & Integration Build software layers that integrate ML models with our core application and APIs. Collaborate with data scientists, software engineers, data engineers, and product teams to deliver end-to-end AI solutions. Product Development R&D Build the infrastructure to deploy the models developed by our Data Scientists for new end-to-end AI products Design and develop agentic AI systems powered by large language models to support broadband use cases. Build agentic workflows that automate tasks such as customer query resolution and sales assistance. Automation & Tooling Lead the automation of our end-to-end client model onboarding process, reducing manual effort across: Data ingestion and transformation Exploratory data analysis Model training, validation, and deployment Unit testing and post-deployment updates in response to client-specific or market-driven changes Build tools and internal frameworks to improve model reproducibility, monitoring, and lifecycle management. Qualifications 5+ years of experience in Python Proficiency in building and consuming RESTful APIs (we use FastAPI with Pydantic) Familiarity with the machine learning lifecycle and modern ML engineering practices Hands-on experience with Docker, Airflow, and Kubernetes for containerization and orchestration Experience working in cloud environments (Google Cloud Platform preferred) Proficiency in SQL (BigQuery and PostgreSQL are a plus) Bachelor's degree in computer science, systems engineering, machine learning, data science, or a related technical field - or equivalent professional experience Nice to Have Experience with A/B testing infrastructure or experimentation platforms Background in MLOps, model monitoring, or validation Familiarity with deploying models like Gradient Boosted Decision Trees, generative models, or neural networks Past involvement in zero-to-one product development initiatives The Company Actifai is the leading provider of AI software for customer sales and experience operations in the broadband industry. We work with several of the largest telecommunications providers in North America and have just begun further international expansion. Our platform delivers intelligent, data-driven sales and support recommendations that guide both consumers and front-line agents during digital, phone, and in-person engagements. These recommendations are grounded in behavioral patterns learned from millions of real-world customer interactions, allowing us to surface the right options, actions, and guidance in the moments that matter most. But we don't just build models-we operationalize AI-backed intelligence. Actifai's software delivers our proprietary models via polished UIs and tightly integrated workflows, while our continuous learning systems adapt to new data, improve performance over time, and even inform the development of entirely new software solutions. Actifai was created in 2019 within Foundry.ai, a technology studio focused on building practical AI applications for Fortune 1000 companies. Foundry's backers include The Pritzker Organization, Breyer Capital, and Madrone Capital Partners. Benefits and Culture Actifai offers an extremely competitive compensation package, including equity, employer-covered health/vision/dental insurance (with an optional FSA), and 401k matching. Employees receive a generous PTO allowance, and can work both remotely and from our office in downtown Washington, D.C. Successful candidates will join a small team of ambitious, supportive co-workers with ample opportunities to take on responsibilities beyond their assigned role. For additional information on benefits and what it's like to work at Actifai, please visit actif.ai/careers. Finally, we highlight that excellence has no single mold, particularly in a field as rapidly evolving as AI. We're looking for excellent candidates of all backgrounds with strong business intuition and coding skills, and welcome applicants regardless of ethnic/national origin, gender, race, religious beliefs, disability, sexual orientation or age. Powered by JazzHR rtf JZGrn3H

We are seeking a senior Mechanical Engineer to support our Washington, DC office. Candidate will review and analyze UxV designs, support design and construction activities, and assess contractor engineering and production progress. Responsibilities include evaluating technical data, drawings, manuals, and configuration documentation to ensure alignment with contract and system requirements. What will you do? Conduct a review and analysis of UxV designs, addressing technical issues that arise during design and construction, and in the development of the future UxV requirements and acquisition documents. Perform engineering analyses of customer mission and performance requirements to define UxV attributes in engineering terms. Perform ship design and construction Contractor and Subcontractor engineering and production analyses to include but not limited to physical progress, design progress and material procurement, Review of engineering systems' technical data, engineering drawings, technical manuals, ILS data, ILS Checklists, and configuration baseline documentation to determine the changes required to update requirements and assist in establishing the new baseline specified by contract, contract specifications, engineering drawings, technical manuals, and specifications. Do you have what it takes? Required skills: Bachelor's level degree in Mechanical Engineering. 10 years - 15 years of professional experience Relevant mechanical engineering experience related R&D, T&E, and systems acquisition programs. Must have active DoD Secret Clearance and ability to sustain one Preferred skills: Master's level degree in Mechanical Engineering Professional Engineer License 15 or more years of professional experience Relevant mechanical engineering experience related R&D, T&E, and systems acquisition programs for Navy shipbuilding and defense systems. Pay Range: VTG's estimated starting pay range is $85,000-$150,000 annually, which is a general guideline for the geographic location. When extending an offer, VTG also considers work experience, education, skill level, market considerations and may possibly include contractual requirements which may cause an offer to fall outside of this range. *This position is contingent upon contract award Pay Range: VTG's estimated starting pay range is $85,000-$150,000 annually, which is a general guideline for the geographic location. When extending an offer, VTG also considers work experience, education, skill level, market considerations and may possibly include contractual requirements which may cause an offer to fall outside of this range.

Cydecor is a premier Federal Government solutions provider, delivering differentiated innovations in mission systems and business platforms. We leverage leading-edge secure systems and software development, backed by industry-leading subject matter expertise, and business intelligence to enable decision-support and remain ahead of ever-evolving national security challenges. Our success rests squarely on three bedrock principles: People, our center of gravity; Mission, what inspires us; and an unyielding commitment to Excellence, what separates us. Job Description: Cydecor is looking for a Senior Navy Mechanical Engineer to analyze UxV designs and tackle technical challenges in a dynamic environment and be part of a mission-driven team that shapes the future of naval engineering and technology. Responsibilities include: Work will involve conducting review and analysis of UxV designs, addressing technical issues that arise during design and construction, and development of the future UxV requirements and acquisition documents. Perform engineering analyses of customer mission and performance requirements to define UxV attributes in engineering terms. Perform ship design and construction Contractor and Subcontractor engineering and production analyses to include but not limited to physical progress, design progress and material procurement. Review of engineering systems' technical data, engineering drawings, technical manuals, ILS data, ILS Checklists, and configuration baseline documentation to determine the changes required to update requirements and assist in establishing the new baseline specified by contract, contract specifications, engineering drawings, technical manuals, and specifications. Here's what you need: Bachelor's level degree in Mechanical Engineering. 10+ years of relevant experience Experience in mechanical engineering experience related R&D, T&E, and systems acquisition programs. Ability to analyze designs through review of design artifacts Ability to perform quantitative analyses Ability to work on a multi-disciplinary team consisting of systems engineers, electrical and electronics engineers, acquisition professionals, and logistics and sustainment professionals to achieve program outcomes Interim or Active Secret clearance Bonus points if you have: 15 or more years of professional experience Experience in mechanical engineering experience related R&D, T&E, and systems acquisition programs for Navy shipbuilding and defense systems. Knowledge of Navy acquisition processes Knowledge of mechanical design standards and practices for Naval ships and systems Possession of excellent written and verbal technical communication skills Master's degree in an Engineering field Professional Engineer (PE) Certification Security Clearance: Minimum: Interim or Active Secret security clearance; Preferred: Interim or Active Top Secret security clearance. Education: Bachelor's level degree in Mechanical Engineering Work Schedule: M-F, Onsite Compensation and Benefits: The projected compensation range for this position is $166,100.00-$185,200.00. There are numerous factors that can impact a final salary/hourly rate including, but not limited to, relevant work experience, skills and competencies that align to the role, work location, education/certifications, and a contract's Labor Categories. Cydecor offers a comprehensive compensation package including Health and Dental Insurance, Vision and Life Insurance, Short-Term & Long-Term Disability, 401(K) + company match, Paid Time Off (PTO), Paid Company Holidays, Tuition Assistance Program and more. What We Believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Cydecor has the responsibility to create and sustain an inclusive environment. Equal Employment Opportunity Statement Cydecor is an Equal Employment Opportunity/Affirmative Action Employer (EEO/AA). All employment and hiring decisions are based on qualifications, merit, and business needs without regard to race, religion, color, sexual orientation, nationality, gender, ethnic origin, disability, age, sex, gender identity & expression, veteran status, marital status, or any other characteristic protected by applicable law. If you are a qualified individual with a disability and/or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site because of your disability. You can request assistance by contacting [email protected] or calling 703-###-####.

Our office is seeking a Senior Mechanical Engineer with a minimum of ten years of experience for our DC Metro office. The ideal candidate will be a self-motivated team player looking for a challenging and rewarding opportunity within a dynamic and progressive firm. The successful individual will work closely with our business development team and other discipline leads in developing technical proposals and will take a proactive role in marketing/business development. This role provides the opportunity to help build and mentor a dedicated team of engineering professionals within a collaborative multidiscipline office. This candidate will be working directly with clients providing consulting services. The ideal candidate will have experience in providing engineering for a variety of projects involving HVAC systems, plumbing systems and coordinating multifaceted projects. We are seeking innovative, results-oriented individuals who value high standards of performance and collaborative teamwork. Requirements Include: Bachelor's degree (B.S.) in Mechanical Engineering or a related field from an accredited college or university. Registration as a Professional Engineer (P.E.) (required). 10+ years of engineering work experience including: Designing HVAC and plumbing systems Managing and designing multiple concurrent projects Strong ability to interpret technical drawings Leading design team efforts Managing project team for budget and schedule control Experience with Load Calculation Software Working knowledge of REVIT and CAD Developing fee and qualification-based proposals Local AHJ experience and relationships is a plus Active local industry involvement is a plus Familiarity with relevant codes: mechanical, energy, plumbing and ensure design conforms with all applicable codes and client standards Reading and preparing project drawings including ductwork plans, piping plans, sections, isometric piping drawings, and bills of materials. Perform HVAC calculations and analysis using standard industry programs Energy modeling experience is a plus Exceptional written and verbal communication skills. Excellent time management skills. Ability to lead inter-disciplinary projects and project teams. Ability to travel periodically. Kodi Miller (Miss) Talent Scout AKP Recruiting kodi@akprecruiting.com www.akprecruiting.com Josh May President AKP Recruiting (406) 633-1654 josh@akprecruiting.com www.akprecruiting.com

**Best People + Right Culture. These are the driving forces behind JE Dunn's success.** **By hiring inspired people, giving them interesting and challenging work, enabling them with innovative tools, and letting them share in the company's rewards, we've found a sustainable way to grow in our industry for the last 100+ years.** **Our diverse teams around the country strive to enrich lives through inspired people and places everyday, and we need inspired people like you to join us in our pursuit of building perfection.** _JE Dunn's Advanced Facilities Group (AFG) combines Mission Critical, Advanced Industries, and Industrial & Manufacturing into one high-performing team focused on cutting-edge work to serve innovative clients on large Industrial & Manufacturing, Data Center, and Semiconductor projects. As part of the Advanced Facilities team, you'll work on some of the most advanced construction projects across the country, growing your career alongside our diverse team of industry professionals._ **Role Summary** The M/E Engineer 3 will complete increasingly complex mechanical, electrical and field construction activities. This position will be responsible for collecting and assembling data, developing estimates and generating systems and bid analysis. All activities will be performed in support of the strategy, vision and values of JE Dunn. + Autonomy & Decision-Making: Makes decisions on routine matters, provides recommendations to supervisor and refers all exceptions to supervisor. + Career Path: Senior M/E Engineer. **Key Role Responsibilities - Core** _ME ENGINEER FAMILY - CORE_ + Learns and actively participates in all aspects of the company's safety and quality plans and culture by demonstrating commitment to an injury-free environment through individual actions and mentoring others. + Completes entry level and routine mechanical, electrical and field construction activities. + Learns how to develop budgetary M/E estimates, based upon program and schematic design information using automated M/E estimating system. + Assists in the review of mechanical and electrical options as part of the preconstruction process and completes systems analysis for select projects. + Learns to develop the mechanical and electrical scopes of work used to coordinate during the bid process. + Assists in the completion of bid analysis and provides input during the subcontractor selection process. + Assists in developing sequencing requirements of various systems and providing solutions to meet the schedule requirements. + Gains knowledge of design documents in order to identify potential quality problems to assist in developing constructability review reports. + Learns to perform job inspections to ensure specifications and expectations are met and work is completed in a quality and timely manner. + Learns and assists with the shop drawing/submittal process to comply with the contract documents. + Assists with the commissioning process including developing pre-functional checklists, functional testing procedures and actual functional testing. + Leads, supports and promotes a culture of diversity and inclusion within JE Dunn. Understands JE Dunn's policy of non-discrimination and ensures positive, proactive implementation throughout the organization. **Key Role Responsibilities - Additional Core** In addition, this position will be responsible for the following: + Completes increasingly complex mechanical, electrical and field construction activities. + Develops budgetary M/E estimates, based upon program and schematic design information. + Reviews mechanical and electrical options, completes systems analysis, recommends best system for the project and provides value engineering suggestions. + Coordinates the mechanical and electrical scopes of work during the bid process. + Develops sequencing requirements of various systems and provides solutions to meet the schedule requirements. Provides scheduling input during projects. + Reviews design documents and identifies potential quality problems. Helps develop quality control programs. + Performs job inspections at various times in the project to ensure specifications and expectations are met and work is completed in a quality manner. + Develops pre-functional checklists and functional testing procedures. Verifies contractor's performance of functional test. + Reviews and approves shop drawings prior to submitting to design team. + Generates and issues the Commissioning Plan for approval to the appropriate parties. + Verifies deficiencies are corrected and submits commissioning documentation to owners. + Provides mentoring to less experienced co-workers. + Creates M/E tools and innovative solutions to continuously improve processes and work products. + Leads, supports and promotes a culture of diversity and inclusion within JE Dunn. Understands JE Dunn's policy of non-discrimination and ensures positive, proactive implementation throughout the organization. **Knowledge, Skills & Abilities** + Ability to perform work accurately and completely, and in a timely manner. + Communication skills, verbal and written (Intermediate). + Proficiency in MS Office (Intermediate). + Ability to read and understand plans, drawings and specifications. + Develops proficiency in basic JE Dunn construction M/E tools and software. + Knowledge of means and methods of construction management. + Ability to build relationships and collaborate within a team, internally and externally. **Education** + Bachelor's degree in mechanical engineering, electrical engineering, architectural engineering or related field (Required). + In lieu of the above requirements, equivalent relevant experience will be considered. **Experience** + 5+ years construction and/or engineering experience (Preferred). **Working Environment** + Valid and unrestricted drivers license required **Benefits Information** The benefits package aligned to this position is Professional Non-Union. Please click the link below for more details. Click here for benefits details. (************************************************************************************ This role is expected to accept applications for at least three business days and may continue to be posted until a qualified applicant is selected or the position has been cancelled. _JE Dunn Construction is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer and it is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. JE Dunn Construction is a background screening, drug-free workplace._ **_JE Dunn provides reasonable accommodations to qualified individuals with disabilities. If you would like to request a reasonable accommodation in order to apply for a job, please submit your request to_** **_accommodations@jedunn.com_** _JE Dunn Construction Company does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of JE Dunn Construction without a prior written search agreement will be considered unsolicited and the property of JE Dunn Construction Company. Please, no phone calls or emails._ **Why People Work Here** At JE Dunn we offer our employees an inspired place to enrich their life and the lives of those around them **Building on our rich history,** our employee **owners are shaping the future** of JE Dunn. In our team-focused environment **we do life together** and are generously **rewarded for our efforts** **About JE Dunn** For more information on who we are, clickhere. (*********************************** **EEO NOTICES** Know Your Rights: Workplace Discrimination is Illegal (*********************************************************************************************** California Privacy Policy **E-Verify** JE Dunn participates in the Electronic Employment Eligibility Verification Program. E-Verify Participation (English and Spanish) (******************************************************************************************** Right to Work (English) Right to Work (Spanish) (***************************************************************************************************************************** **Nearest Major Market:** Kansas City

@ProSidian is looking for “Great People Who Lead” at all levels in the organization. ProSidian is a management and operations consulting firm with a reputation for its strong national practice spanning six solution areas including Risk Management, Energy & Sustainability, Compliance, Business Process, IT Effectiveness, and HR Talent Management. We help clients improve their operations. Linking strategy to execution, ProSidian assists client leaders in maximizing company return on investment capital through design and execution of operations core to delivering value to customers. Visit ***************** or follow the company on Twitter at ************************* for more information. Job Description ELECTRICAL ENGINEERING CONSULTANT - FED GOVERNMENT (SECURITY CLEARANCE REQUIRED) Seeking an Electrical Engineering Consultant who shall have at least a bachelor's degree in electrical engineering or similar discipline. The specialist shall also have at least 5 years, of experience in the following areas: micro-grids, renewable energy, energy storage, generation and load control technologies, advanced metering, smart grid communication protocols. The purpose of the engagement shall be to support services to execute the Presidential and Navy Shore Installation energy objectives. ELECTRICAL ENGINEERING CONSULTANT WORK LOCATION: Government Office Site: NAVFAC - HQ, Washington Navy Yard APPLICATION AND SERVICES SOUGHT: Campus-size Smart/Micro-grid technology and regulation - expertise in the required technology to deploy a campus-size microgrid, and experience working with regulators and end-users in developing appropriate regulations and rate structures for smart/microgrid applications, with key terms defined as follows: Smart Grid - as defined by Energy Independence and Security Act of 2007, Section 1301 Microgrid - defined for purposes of this Request for Proposal as power systems in which generation elements are co-located with loads, regardless of the aggregated generation capacity or the grid interconnection (NREL May 2005 Facility Microgrids Report); further defined as capable of automatic islanding from a commercial grid Campus size - defined for purposes of this Request for Proposal as more than 50 component shore facilities and 10 MW or greater peak demand Technical and regulatory evaluation of load curtailment opportunities, including demand response programs, - - expertise in evaluating and developing electricity commodity purchasing options for large (100 MW+) end users using load curtailment options, and experience working with regulators and end-users in developing appropriate regulations and rate structures for manual and automated load curtailment applications ======= All Contractor work shall be performed on-site at the client's Headquarters located in NAVFAC - HQ, Washington Navy Yard ======= CURRENT SECURITY CLEARANCE REQUIRED (M-Class, current DOE, etc.) All contractor employees and sub-contractor employees shall be eligible to work in the United States, have no criminal record or pending criminal charges, and be able to satisfy Washington Navy Yard access requirements. A list of individuals requiring base access shall be provided to the Washington Navy Yard security office prior to the start work. Prior to performing and upon completion of work, the Contractor shall report to the Washington Navy Yard security office. The proposed Program Manager, Electrical Engineer and Information Assurance Specialist must have an active, adjudicated, clearance at SECRET level or higher. Offerors shall submit the names and social security numbers of the Program Manager, Electrical Engineer, and Energy Information TASKS AND DELIVERABLES: Baseline Assessment (regulatory, market, rate and technical): Identify the regulatory, market, and technical opportunities and challenges to implementation of load curtailment and micro-grid opportunities. This includes the following sub categories: Regulatory Assessment, Market Assessment; Utility Rate Assessment, & Technical Assessment Cost/Benefit Analysis - Use the results of the assessments conducted to develop a cost/benefit analysis (CBA). The model should be displayed in MS Excel and include expected implementation costs, financial benefits, and a confidence factor that the CLIENT should expect from participation in the market opportunities identified in the previous task. At a minimum, the CBA must include demand response and curtailment opportunities. Implementation Approach and Recommendation for the specific Regional Concentration Area - Incorporate the results of previous tasks to develop a recommended implementation approach for each of the five regional concentration areas. This recommendation should include changes to technical requirements, investments, expected benefits, timing, changes to funding requirements, and challenges that will need to be addressed. ======= 5+ years of experience in the following areas: micro-grids, renewable energy, energy storage, generation and load control technologies, advanced metering, smart grid communication protocols ======= Applicable Electrical Engineering background, degrees, etc. CURRENT SECURITY CLEARANCE REQUIRED (M-Class, current DOE, etc.) Experience in the following areas: micro-grids, renewable energy, energy storage, generation and load control technologies, advanced metering, smart grid communication protocols. Qualifications MINIMUM REQUIREMENTS: Applicable Electrical Engineering background, degrees, etc. CURRENT SECURITY CLEARANCE REQUIRED (M-Class, current DOE, etc.) Experience in the following areas: micro-grids, renewable energy, energy storage, generation and load control technologies, advanced metering, smart grid communication protocols. ======= EDUCATION: Requires a Bachelor's degree in Electrical Engineering or similar discipline ======= ADDITIONAL NOTES FROM HR: ENGAGEMENT BACKGROUND The ProSidian Consulting Client is a global military command with Headquarters and component commands that work together as one organizational team. The ProSidian Client has authorities and responsibilities from the Secretary of the Navy (SECNAV). THE PROSIDIAN CLIENT HQ Public Works/Utility and Energy Management Team (PW/UEM) provides energy and utilities in support of USMC and Commander Naval Installations Command. THE PROSIDIAN CLIENT seeks specific regulatory, engineering, and business expertise to assist in evaluating the capability of smart/microgrids to enhance energy and cost reduction opportunities and address the following energy objectives: Enhance mission assurance and energy security at Dept. Of Navy (DoN) Installations, in accord with energy security plans Reduce energy use at DoN Installations Reduce electricity and fuel purchase costs through aggregation, deferment, and curtailment of loads, and through participation in demand response programs Foster cost-effective energy production and load management at Navy and Marine Corps installations, including but not limited to renewable technologies and regional aggregation Develop local and regional smart grid concepts, including possible micro-grid expansion at installations, leveraging implementation of advanced Industrial Control Systems (ICS) Assess potential implications of energy investments on network security Foster methodologies, metrics or benchmarks to assist in shaping energy usage patterns and in purchase decisions optimized on cost The Department of Navy seeks to leverage combined energy purchases and existing and planned energy investments for the Navy and Marine Corps installations at selected US regional energy concentration areas. The ProSidian Client is seeking support to assist with technical challenges associated with implementation of this initiative in the San Diego, CA, Oahu, HI, Pacific Northwest, Jacksonville, FL, and Mid-Atlantic regions. ======= Additional Information ADDITIONAL NOTES FROM HR: ProSidian Consulting is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, or Vietnam era, or other eligible veteran status, or any other protected factor. All your information will be kept confidential according to EEO guidelines. At this time we are considering only local candidates who are able to work without employer sponsorship. No agencies or phone calls, please.

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