Mechanical engineer jobs in Suitland, MD - 2,309 jobs

About this Job: Oversees the operation of the Boilers and Chiller Plant and associated equipment ensuring the efficient operation during assigned shift. May be required to lead or assist with regular maintenance or emergency repairs to the boilers chillers and/or related equipment. Primary Duties and Responsibilities Oversees/monitors the operation of the Chiller Plant during assigned shift. Ensures the systems are operating at best possible performance levels. Performs regular maintenance/repairs to the Chiller Plant such as appropriate during shift reporting larger/ more complicated needs to the Forman or Power Plant Engineer I for action by the maintenance crew. Assists the maintenance/repair crew with scheduled and emergency repairs to the boilers generators chillers and related Facilities Management equipment. Ensures that assigned areas are operating within all applicable Hospital federal and local governing codes standards and regulations including but not limited to: OSHA NFPA The Joint Commission and Fire and Life Safety practices. Learns and remains current with the latest applicable federal and local governing codes standards and regulations regarding fire safety plumbing electrical and plant operations including but not limited to: OSHA NFPA The Joint Commission ASHRAE ANSI DCRA D.C. Fire & Safety Codes and the Hospital's Fire and Life Safety practices. Minimal Qualifications Education High School Diploma or GED required or Trade/vocational school graduate or equivalent with courses in chemistry physics and/or mathematics and such training as to be able to read: layout diagrams blueprints mechanical drawings work sketches etc. preferred Experience completion of an approved apprentice training program required Licenses and Certifications Must have a current D.C. Third Class Operating License required and current CFC License. required Knowledge Skills and Abilities Familiarity with the latest applicable codes standards and regulations including but not limited to: OSHA NFPA The Joint Commission and Fire and Life Safety practices. This position has a hiring range of : USD $31.28 - USD $56.39 /Hr.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Are you experienced in Critical Infrastructure Commissioning and looking for a fast paced environment to work in? As a Data Center Commissioning Engineer (CxE), you will be part of highly creative, efficient team tasked with tackling fascinating and challenging problems building and supporting the operations of Amazon owned data centers. The Amazon Commissioning team (ACx) understands, evaluates, defines and manages the expectations of construction quality in accordance to engineering designs to meet the customer requirements. The CxE is responsible for supporting vendors, contractors, and other teams involved in the construction and commissioning of various systems such as: Medium and low voltage power systems Generators UPS HVAC (Air Handlers / Exhaust Fans / VFD) Chilled Water Systems Building Management systems (BMS) Electrical Power Monitoring Systems (EPMS) Testing and balancing Pumps and Hydronic systems Key job responsibilities As the Commissioning Engineer (CxE), you will provide testing and validation oversight of AWS data center electrical and mechanical infrastructure. This includes, but not limited to, review of design documents and equipment submittals, leading Factory Witness Testing (FWT), and managing third-party commissioning vendors in the performance of onsite pre-functional, functional, and integrated systems testing. You will own your projects' successes where you Deep Dived to resolve technical issues and had Bias for Action to address schedule impacts and coordination demands onsite. You will be sharing your lessons learned leading towards team growth and program improvements. You will get the opportunity to provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. During commissioning, you will be continuously auditing Cx vendors' activities to ensure compliance with environmental, quality, and safety requirements. Following the AWS project reporting format, you will be responsible for regular reporting of commissioning progress and metrics of assigned project to your Regional Commissioning Manager. You will have the opportunity to lead several projects simultaneously to achieve key milestones and deliver data center capacity, while managing project budget as approved by Finance. A day in the life On a typical project, the CxE works across AWS engineering, capacity delivery, operations, and contractor teams to coordinate site activities, prioritize tasks, and ensure each issue has clear path to resolution. The CxE manages the project commissioning vendor whose primary scope is to execute functional tests, identify issues, determine criticality, propose solutions, and document their findings. If project turnover is at risk, the CxE escalates to the appropriate stakeholders. Upon project completion, the CxE will communicate lessons learned to help peers on similar projects in flight and participate in initiatives that drive improvement to the commissioning program. About the team The AWS Data Center Commissioning Team (ACx) is a wholly independent business within the DCGS organization. This team of veteran professional Electrical Engineers, Mechanical Engineers, Controls Engineers, Project Managers, and Operators is uniquely positioned to provide detailed engineering and operational review and testing of equipment designs, operational functionality and construction practices. The team is focused on ensuring the rapid delivery of a quality product while maintaining full transparency, recording metrics of any and every defect discovered during commissioning. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. #DCCD_AMER BASIC QUALIFICATIONS- 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience - Bachelor's degree in Mechanical/Electrical Engineering or 5 years of relevant discipline work experience - High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained in the others. - Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design. - Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements. PREFERRED QUALIFICATIONS- Advanced knowledge Microsoft Office Suite - Word, Excel, Outlook required; advanced knowledge of SharePoint (or similar) preferred - Strong communication skills, detail oriented, highly organized, and able to work in high stress environments to maintain calm and respectful interaction with multiple teams - Advanced knowledge of mechanical, electrical, and controls systems for critical infrastructures - Ability to read and edit construction documents (design drawings, control diagrams, specifications, etc.) - Experience developing and executing test procedures for mechanical or electrical systems/components based on design intent and approved equipment submittals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,100/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

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

REQUIREMENTS The ideal candidate will have: Prior patent prosecution experience (as an agent or attorney). Bachelor's degree in Mechanical Engineering, Chemical Engineering, or a related field. Graduate degree a plus. Demonstrated experience working with mechanical technologies. The ability to handle chemical or materials science patent applications as needed. Strong academic credentials and excellent written and oral communication skills. USPTO and admission to a state bar from a relevant state (or wave-in capability) required. SUMMARY Vanguard Intellectual Partners (Vanguard-IP) specializes in the placement of IP/Patent professionals nationwide. Our sole focus on intellectual property enables us to more deeply understand our clients' technical needs, and our candidates' individual talents and career interests. Our broad network of long‑term client relationships gives us a competitive edge. Our recruiters all have 10+ years of IP recruiting experience, and an exceptional record of success. We have superior knowledge of the IP job market, and offer trusted career advice for our candidates. We also have the resources and high‑level contacts to get your resume noticed by the people who matter. We look forward to speaking with you, and learning more about what you are seeking in your next opportunity. CONFIDENTIALITY At Vanguard-IP, we respect the confidentiality of every candidate who contacts us. Furthermore, we will always obtain expressed authorization before submitting your resume to any of our clients. **Should you have an interest in exploring opportunities in another location, we have hundreds of openings in other markets. Please apply now and our team would be happy to review your information for this or other openings in your location of interest. #J-18808-Ljbffr

Join a Growing Industry Leader as a Junior Project Manager! Company: Vertical Mechanical Group (VMG) At Vertical Mechanical Group (VMG), we are always seeking talented individuals to join our growing team. Our commitment to exceptional customer service and innovative solutions drives our success and fuels continuous expansion. We're excited to offer opportunities for motivated professionals who are ready to elevate their careers. When you join VMG, you become part of a close-knit, supportive team that values both its employees and clients. Here, your growth powers our success. To support our continued growth, we are seeking a Mechanical Field Engineer to join our team. This role is a fantastic opportunity for a motivated professional to gain hands-on experience and develop project management skills while working closely with seasoned professionals. Role Overview As a Mechanical Field Engineer, you will assist in the overall management and execution of mechanical installation and service projects. You will collaborate with Project Managers, Executives, Superintendents, Foremen, and Subcontractors to ensure projects are delivered on time, within budget, and exceed client expectations. Key Responsibilities Support project planning, scheduling, and budgeting activities. Assist in coordinating HVAC and plumbing installations, ensuring alignment with project goals. Review and interpret mechanical drawings and commercial construction documents. Monitor project progress and communicate updates to stakeholders. Provide administrative and operational support to senior project team members. Collaborate with field teams to address challenges and maintain project momentum. Ensure compliance with safety and quality standards. Qualifications 2+ years of experience in construction project coordination or management (mechanical focus preferred). Foundational knowledge of HVAC and plumbing systems and installation processes. Strong organizational and time-management skills. Basic understanding of mechanical drawings and commercial construction projects. Familiarity with project management software and Microsoft Office Suite. Excellent communication and interpersonal skills. Eagerness to learn and grow in a fast-paced environment. Bachelor's degree in Construction Management, Engineering, or a related field (preferred). What We Offer Competitive salary and performance-based incentives. Comprehensive benefits package, including health, dental, and vision insurance. Paid Time Off (PTO) and a 401(k) retirement plan with company match. Opportunities for professional development and career advancement. A supportive and collaborative work environment. This position is based in Charlottesville, VA. About VMG Vertical Mechanical Group (VMG) is a family-owned and operated HVAC and Plumbing contractor specializing in large-scale commercial projects. We combine the personalized service of a boutique firm with the expertise and resources of a major contractor. Ready to Apply? If you're excited to build your career in project management and contribute to VMG's success, we want to hear from you! Apply today to join our talented team. Learn more about us at vmgmech.com.

A technology firm specializing in Bitcoin mining is seeking a skilled PCB layout designer in Washington, DC. The role involves high-speed PCB design and collaboration with hardware teams. Candidates must have a degree in Electrical Engineering and at least 3 years of experience. Strong skills in Cadence Allegro, SI, and PI concepts are essential. This position offers opportunities for growth and competitive benefits. #J-18808-Ljbffr

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

I am looking for a technical cofounder for a social app for events. I need someone to take designs created on Figma or other platforms and to build the app from those designs. Preferred qualifications include strong back-end development skills, experience with mobile or web app development, and an ability to translate Figma prototypes into functional code. #J-18808-Ljbffr

A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr

A leading tech company is seeking a Senior Software Engineer to enhance user experience through strategic design of APIs and systems. This role offers a competitive salary of $140,000-$200,000/year, and focuses on Kotlin Multiplatform development. Join a diverse team that champions innovation and flexibility while impacting users with learning differences. Apply to help shape a transformative product! #J-18808-Ljbffr

Clearance: TS/SCI Metric5 is seeking a highly experienced Senior DevSecOps Engineer to support the Cache team, leading efforts to design, automate, secure, and optimize mission‑critical cloud infrastructure in AWS GovCloud. The ideal candidate will have deep technical expertise in CI/CD pipelines, Infrastructure as Code (IaC), and security automation, with a proven track record of enabling secure and scalable solutions in compliance‑driven environments. This is a hands‑on engineering role requiring on‑site presence five days per week at the client location in Washington, DC. Responsibilities Architecture, Automation, and CI/CD Leadership Design and Implement CI/CD Pipelines: Lead the design, development, and maintenance of CI/CD pipelines (e.g., Jenkins, GitLab CI) to automate and accelerate application delivery, testing, and deployment into secure AWS environments. Infrastructure as Code (IaC): Architect, build, and manage scalable and resilient infrastructure using IaC tools such as Terraform or CloudFormation. AWS GovCloud Engineering: Design and maintain secure, compliant, and highly available systems in AWS GovCloud, ensuring adherence to FedRAMP and agency‑specific security requirements. Containerization & Serverless: Develop and manage containerized and serverless solutions using AWS Fargate, Lambda, and related services. System Optimization: Continuously monitor, troubleshoot, and optimize application performance, scalability, and cost efficiency. Security, Compliance, and Automation DevSecOps Integration: Embed security controls, vulnerability scanning, and compliance automation directly into CI/CD pipelines and infrastructure provisioning processes. Access Control and Monitoring: Implement and manage robust IAM policies, auditing mechanisms, and security posture assessments across environments. Compliance Adherence: Enforce FedRAMP and organizational security policies, ensuring full compliance of deployed infrastructure. Collaboration, Mentorship, and Problem Solving Cross‑Team Collaboration: Partner with development, cybersecurity, and operations teams to align DevSecOps strategies with mission goals. Technical Leadership: Provide mentorship to junior engineers, fostering a culture of automation, continuous improvement, and security‑first development. Incident Response: Lead root cause analyses and implement preventive measures to strengthen reliability and operational resilience. Required Qualifications 10+ years of DevOps or DevSecOps engineering experience with a focus on AWS services, CI/CD, and automation Expertise in AWS GovCloud and services such as Lambda, CloudFormation, Fargate, RDS, and ElastiCache Hands‑on experience implementing FedRAMP‑aligned or equivalent compliance frameworks Proficiency with Terraform or CloudFormation for IaC Strong scripting skills in Python, Java, or JavaScript/TypeScript Proven experience integrating security automation into DevOps processes Excellent communication and collaboration skills with both technical and non‑technical stakeholders Ability to lead complex technical initiatives and manage competing priorities Education & Certifications Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field, or equivalent experience Preferred Certification: AWS Certified DevOps Engineer - Professional Years of Experience: 10+ years of relevant experience Salary: $150,000 - $160,000 Annually Clearance: US Citizen with TS/SCI Clearance Location: The candidate must be local to the Washington, D.C. area and able to report on‑site. About Metric5 Metric5 is a small business with big company benefits. We have a passionate team of smart, fun, caring professionals, and we are here for the long haul. Join our growing team in a business where your contributions make an enormous impact. Our organization offers a comprehensive employee benefits package, continuous professional development, with a best in class company culture that is enjoyable to work in and supports the growth of each of our professionals. Benefits Health & Dental Insurance with 100% of individual coverage paid for by the company Vision Insurance Life & Short Term Disability Insurance 401k with company match (employees are immediately vested) Paid Vacation 9 Paid Holidays per year (plus 2 paid floating holidays) Parental Leave Employee Bonuses Professional Development Reimbursement Program Tuition Assistance Program Metric5 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Metric5 is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information. Metric5's commitment to diversity and inclusive selection practices includes ensuring qualified long‑term unemployed job seekers receive equal consideration for employment. Equal employment opportunity, including veterans and individuals with disabilities. PI279548995 #J-18808-Ljbffr

The Atlantic is looking for an innovative, analytical, and curious Senior Engineer. We aim to support a more thoughtful American public by powering and expanding our Pulitzer Prize winning journalism. Guided by our readers and informed by data, you will build products to amplify our impact and reach in this role. We pride ourselves on maintaining an inclusive and diverse culture that values continuous learning, elegant problem solving, supportive teamwork, and delivering value. Minimum Qualifications 6+ years of full-stack software development experience, including 3+ years of React Native development Professional experience with JavaScript/TypeScript and at least one backend language (Python preferred) Experience shipping and maintaining mobile applications on iOS and Android platforms Experience deploying and maintaining production systems using cloud infrastructure (AWS or GCP), containerization, and CI/CD pipelines Preferred Qualifications Experience with React, Django, GraphQL, and infrastructure tools (Docker, Terraform) Experience with native iOS (Swift/Objective-C) or Android (Kotlin/Java) development 2+ years in a technical leadership role (leading projects, mentoring, or architectural decisions) Experience designing scalable systems and working with AWS/GCP cloud services Background in media/publishing platforms with third-party integrations and data pipelines As an Atlantic Engineer, you will Hit the ground running to write, test, debug, document, and deploy code across our full stack, with a primary focus on mobile development in React Native. Partner with the Product and Design teams to collaboratively translate ambiguous requirements into well-scoped technical solutions. Participate in and contribute to code reviews, stand-ups, sprint planning, retrospectives, and technical documentation. Participate in on-call rotation (outside of standard business hours) to monitor, troubleshoot, and resolve production incidents, ensuring system reliability and uptime. Research and recommend technical solutions for future product features, evaluating new technologies and presenting recommendations with clear tradeoff analysis. Demonstrate technical leadership by mentoring engineers, establishing best practices, and helping maintain quality standards across the engineering department. The role will at times include night, early-morning, and weekend work. As an Atlantic Engineer, you are A talented programmer: You are proficient in modern full stack web development. You can design a RESTful or GraphQL microservice with proper error handling, wire it up to a data model, run the app locally in a Docker container, write a frontend service to consume the data, and deploy it to production. You write clean, maintainable code. Knowledgeable: You work effectively within established architectures and follow industry best practices. You stay current with security, accessibility, and performance standards. Flexible: Although you typically work with a suite of proven tools, you are curious and open to new solutions and industry trends. You can evaluate whether a new technology genuinely solves an existing problem. A strong communicator: You communicate promptly, clearly, proactively, and empathetically with teammates and stakeholders. You can explain technical concepts to non-technical colleagues, provide constructive code review feedback, and surface risks early. A pragmatic technologist: You gravitate towards the simplest viable solution that balances current and near-term needs. You value quality, but a desire for perfection doesn't draw your work off of the critical path. A critical thinker: You think creatively and innovatively when approaching your work. Given a product requirement, you can break it into technical tasks, identify dependencies and risks, and execute with minimal oversight. Adaptable: You are excited to work on a variety of projects of different sizes, using different technologies. You are agile, a quick learner, and highly motivated to perform at the highest level. A team player: You take initiative in offering help to team members, including pair programming and knowledge sharing. You encourage and support the development of your teammates. You value team camaraderie and thrive in an environment fueled by discussion and debate. An interest in the pursuit of truth: You recognize the fundamental importance of journalism and have a desire to see it thrive Salary minimum: $115,000; Salary maximum: $150,000 This is a Guild Position Apply here: ******************************************************************************************************** #J-18808-Ljbffr

Analytica LLC is seeking a highly skilled Senior MLOps Engineer to lead the design, development, and deployment of machine learning operations infrastructure for defense applications. The role requires expertise in systems integration, ML pipeline development, and responsible AI practices within government environments. The position focuses on building scalable data and AI capabilities that support DoD mission‑critical operations while ensuring compliance with responsible AI principles. Analytica has been recognized by Inc. Magazine as one of the fastest‑growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day‑to‑day lives. The company offers competitive compensation with opportunities for bonuses, employer‑paid health care, training and development funds, and 401(k) match. Responsibilities Systems Integration & Command‑and‑Control Development: Serve as subject matter expert for systems integration supporting the design, development, and deployment of command‑and‑control products Lead networking and integration efforts for AI/ML systems deployed in operational and exercise environments Design and implement robust MLOps pipelines that support real‑time decision‑making capabilities for defense applications Collaborate with testing teams to ensure ML systems perform effectively during military exercises and operational scenarios Provide senior technical expertise in modeling, designing, and delivering advanced data tools and ML platforms for DoD‑wide adoption Build and maintain scalable infrastructure to handle massive‑scale video, image, structured and unstructured text data processing Develop automated data ingestion, preprocessing, and feature engineering pipelines that support diverse data types and formats Work with engineers, commercial vendors, government agencies, and academic partners to identify and implement cutting‑edge ML capabilities Advanced Technology Pipeline Development: Establish and maintain an enterprise‑level advanced technology pipeline to accelerate AI/ML adoption across the agency. Implement data quality monitoring, validation, and governance frameworks to ensure high‑quality training datasets Design and optimize ML model training, testing, and deployment workflows that reduce implementation cycles Develop automated testing and validation processes for ML models to ensure reliability and performance in operational environments Partnership Optimization & Process Development: Support the development of optimization models for government engagement with external partners and technology vendors Create and maintain integration workflows that leverage external capabilities while maintaining security and compliance standards Develop vendor assessment criteria and integration protocols for AI/ML technologies and services Documentation & Knowledge Management: Create, iterate, and publish comprehensive guidance materials for data science and AI development practices Develop and maintain coding standards and best practices documentation for ML development teams Establish documentation standards for model versioning, experiment tracking, and deployment procedures Design and implement data integration solutions that support enterprise data mesh architecture Develop real‑time data feed integration capabilities for live operational data streams Build APIs and microservices that enable seamless data sharing across DoD systems and applications Ensure data interoperability standards compliance across diverse defense systems and platforms Responsible AI Implementation & Governance: Lead the implementation and management of DoD responsible artificial intelligence programs and initiatives Integrate responsible AI tools, frameworks, and assessment methodologies into existing and new use cases Develop comprehensive performance metrics and evaluation frameworks for AI/ML projects and tools Conduct regular assessments of AI system outcomes, bias detection, and ethical compliance Prepare executive‑level reports and briefings on responsible AI implementation progress and recommendations Performance Monitoring & Evaluation: Establish MLOps monitoring and observability solutions for production ML systems Develop automated model performance tracking, drift detection, and retraining pipelines Create dashboards and reporting tools that provide visibility into ML system performance and reliability Conduct post‑deployment analysis and continuous improvement of ML operations processes Required Qualifications Bachelor's degree in Computer Science, Data Science, Machine Learning, or related technical field; Master's degree preferred Minimum 7‑10 years of experience in MLOps, DevOps, or related systems engineering roles Strong expertise in ML frameworks (TensorFlow, PyTorch, Scikit‑learn), containerization (Docker, Kubernetes), and cloud platforms Experience with data pipeline tools (Apache Airflow, Kubeflow, MLflow) and big data technologies (Spark, Hadoop) Knowledge of government compliance requirements, security frameworks, and responsible AI principles Preferred Qualifications Experience with defense or intelligence community AI/ML projects Certifications in cloud platforms (AWS ML, Azure AI, GCP ML) and MLOps tools Knowledge of responsible AI frameworks and bias detection methodologies Experience with real‑time data processing and streaming technologies Familiarity with DoD enterprise architecture and data sharing standards Current security clearance or ability to obtain required clearance level Equal Opportunity Employment Statement Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind and provide reasonable accommodations to applicants and employees with disabilities in accordance with applicable laws. #J-18808-Ljbffr

A leading technology company is seeking a Senior Engineer to join their Platform Engineering team in McLean, Virginia. The role involves designing and implementing solutions for their Kubernetes platform, automating infrastructure, and collaborating with diverse teams. Applicants should have at least 5 years of experience in infrastructure, a Bachelor's degree in a related field, strong Kubernetes knowledge, and excellent communication skills. This role supports federal contracts, requiring U.S. citizenship. Competitive compensation and flexible work arrangement offered. #J-18808-Ljbffr

Are you experienced in Critical Infrastructure Commissioning and looking for a fast paced environment to work in? As a Data Center Commissioning Engineer (CxE), you will be part of highly creative, efficient team tasked with tackling fascinating and challenging problems building and supporting the operations of Amazon owned data centers. The Amazon Commissioning team (ACx) understands, evaluates, defines and manages the expectations of construction quality in accordance to engineering designs to meet the customer requirements. The CxE is responsible for supporting vendors, contractors, and other teams involved in the construction and commissioning of various systems such as: Medium and low voltage power systems Generators UPS HVAC (Air Handlers / Exhaust Fans / VFD) Chilled Water Systems Building Management systems (BMS) Electrical Power Monitoring Systems (EPMS) Testing and balancing Pumps and Hydronic systems Key job responsibilities As the Commissioning Engineer (CxE), you will provide testing and validation oversight of AWS data center electrical and mechanical infrastructure. This includes, but not limited to, review of design documents and equipment submittals, leading Factory Witness Testing (FWT), and managing third-party commissioning vendors in the performance of onsite pre-functional, functional, and integrated systems testing. You will own your projects' successes where you Deep Dived to resolve technical issues and had Bias for Action to address schedule impacts and coordination demands onsite. You will be sharing your lessons learned leading towards team growth and program improvements. You will get the opportunity to provide multi-discipline input into the scheduling, test script development, designing, and planning of projects. During commissioning, you will be continuously auditing Cx vendors' activities to ensure compliance with environmental, quality, and safety requirements. Following the AWS project reporting format, you will be responsible for regular reporting of commissioning progress and metrics of assigned project to your Regional Commissioning Manager. You will have the opportunity to lead several projects simultaneously to achieve key milestones and deliver data center capacity, while managing project budget as approved by Finance. A day in the life On a typical project, the CxE works across AWS engineering, capacity delivery, operations, and contractor teams to coordinate site activities, prioritize tasks, and ensure each issue has clear path to resolution. The CxE manages the project commissioning vendor whose primary scope is to execute functional tests, identify issues, determine criticality, propose solutions, and document their findings. If project turnover is at risk, the CxE escalates to the appropriate stakeholders. Upon project completion, the CxE will communicate lessons learned to help peers on similar projects in flight and participate in initiatives that drive improvement to the commissioning program. About the team The AWS Data Center Commissioning Team (ACx) is a wholly independent business within the DCGS organization. This team of veteran professional Electrical Engineers, Mechanical Engineers, Controls Engineers, Project Managers, and Operators is uniquely positioned to provide detailed engineering and operational review and testing of equipment designs, operational functionality and construction practices. The team is focused on ensuring the rapid delivery of a quality product while maintaining full transparency, recording metrics of any and every defect discovered during commissioning. BASIC QUALIFICATIONS- 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience - Bachelor's degree in Mechanical/Electrical Engineering or 5 years of relevant discipline work experience - High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained in the others. - Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design. - Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements. PREFERRED QUALIFICATIONS- Advanced knowledge Microsoft Office Suite - Word, Excel, Outlook required; advanced knowledge of SharePoint (or similar) preferred - Strong communication skills, detail oriented, highly organized, and able to work in high stress environments to maintain calm and respectful interaction with multiple teams - Advanced knowledge of mechanical, electrical, and controls systems for critical infrastructures - Ability to read and edit construction documents (design drawings, control diagrams, specifications, etc.) - Experience developing and executing test procedures for mechanical or electrical systems/components based on design intent and approved equipment submittals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,100/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Qualifications Patent preparation and prosecution experience, either in-house or as outside counsel, specifically in the mechanical arts (e.g., recreational vehicles, industrial devices, medical devices, and consumer devices) A BS degree in mechanical engineering is preferred, although candidates with other degrees will be considered Additional legal, industry, and/or academic experience in mechanical engineering or related fields is desirable Active bar admission in Oregon or Washington Registered to practice before the USPTO Strong time management and organizational skills, including demonstrated ability to take ownership for, and efficiently manage, a large docket including meeting internal and external deadlines Familiarity with operations of large organizations with established patent programs, including international organizations Strong work ethic and commitment to being responsive to client needs Excellent writing, communication and interpersonal skills Ability to collaborate and work effectively with a variety of internal and external stakeholders Demonstrated ability working independently About Vanguard-IP Vanguard Intellectual Partners (Vanguard-IP) specializes in the placement of IP/Patent professionals nationwide. Our sole focus on intellectual property enables us to more deeply understand our clients' technical needs, and our candidates' individual talents and career interests. Our broad network of long-term client relationships gives us a competitive edge. Our recruiters all have 10+ years of IP recruiting experience, and an exceptional record of success. We have superior knowledge of the IP job market, and offer trusted career advice for our candidates. We also have the resources and high-level contacts to get your resume noticed by the people who matter. We look forward to speaking with you, and learning more about what you are seeking in your next opportunity. Confidentiality At Vanguard-IP, we respect the confidentiality of every candidate who contacts us. Furthermore, we will always obtain expressed authorization before submitting your resume to any of our clients. Should you have an interest in exploring opportunities in another location, we have hundreds of openings in other markets. Please apply now and our team would be happy to review your information for this or other openings in your location of interest. #J-18808-Ljbffr

About Bitdeer Bitdeer Technologies Group (Nasdaq: BTDR) is a world-leading technology company for Bitcoin mining. Bitdeer is committed to providing comprehensive computing solutions for its customers. The Company handles complex processes involved in computing such as equipment procurement, transport logistics, datacenter design and construction, equipment management, and daily operations. The Company also offers advanced cloud capabilities to customers with high demand for artificial intelligence. Headquartered in Singapore, Bitdeer has deployed datacenters in the United States, Norway, and Bhutan. What you will be responsible for Responsible for thermal and fluid simulation analysis of mining hardware, including power boards, heat sinks, and liquid-cooling modules. Perform component-level and system-level thermal design, ensuring optimal temperature performance and product reliability. Conduct CFD (Computational Fluid Dynamics) simulations to analyze airflow, pressure, temperature distribution, and flow resistance. Collaborate with electrical, mechanical, and PCB design teams to optimize cooling system layouts and improve heat dissipation performance. Define design requirements and provide technical guidance for selection of thermal components such as fans, heat pipes, cold plates, pumps, and radiators. Analyze thermal performance during product prototyping and validation stages, and provide design optimization recommendations. Support experimental validation to correlate simulation data with physical test results, ensuring model accuracy and reliability. Research and evaluate new cooling technologies, thermal materials, and architectures to improve product energy efficiency. Develop thermal design standards, best practices, and documentation to support product lifecycle management. Collaborate with global engineering teams to ensure consistent thermal design approaches and share technical learnings. How you will stand out Bachelor's or Master's degree in Thermal Engineering, Mechanical Engineering, Fluid Mechanics, or related field. Minimum 3-5 years of experience in thermal design or CFD simulation for electronics, servers, or data-center systems. Proficient in simulation tools such as Flotherm, Icepak, Fluent, or Ansys Mechanical for thermal/fluid analysis. Solid understanding of heat transfer, thermodynamics, and fluid dynamics principles. Experience in air-cooling and liquid-cooling system design, including component-level heat exchangers and integrated thermal modules. Familiar with materials, manufacturing methods, and mechanical structures related to heat sinks, vapor chambers, and cold plates. Ability to correlate simulation results with experimental data for performance validation. Strong analytical and problem-solving skills, with attention to accuracy and modeling detail. Excellent teamwork and communication skills to work closely with cross-functional R&D teams. Passion for innovation, energy efficiency, and continuous technical improvement in a fast-paced environment. What you will experience working with us A culture that values authenticity and diversity of thoughts and backgrounds; An inclusive and respectable environment with open workspaces and exciting start-up spirit; Fast-growing company with the chance to network with industrial pioneers and enthusiasts; Ability to contribute directly and make an impact on the future of the digital asset industry; Involvement in new projects, developing processes/systems; Personal accountability, autonomy, fast growth, and learning opportunities; Attractive welfare benefits and developmental opportunities such as training and mentoring. -------------------------------------------------------------------- Bitdeer is committed to providing equal employment opportunities in accordance with country, state, and local laws. Bitdeer does not discriminate against employees or applicants based on conditions such as race, colour, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union. #J-18808-Ljbffr

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril's Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. AI Engineers on Anduril's Frontier AI team build edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. WHAT YOU'LL DO Distill and fine-tune transformer architectures so they can be deployed onto edge devices or compute denied environments Propose and prototype LLM-based Agentic systems that help solve real world problems, leveraging the latest state-of-the-art techniques in the field Develop and maintain mission relevant benchmarks Work cross-functionally with different business lines across Anduril to help discover and scope new research problems REQUIRED QUALIFICATIONS BS in Computer Science, Machine Learning, Electrical Engineering, or related field 5+ years experience developing and benchmarking ML algorithms Experience pushing and maintaining ML algorithms in production Strong Python skills with experience in ML frameworks such as PyTorch Eligible to obtain and maintain an active U.S. Secret security clearance PREFERRED QUALIFICATIONS Experience fine-tuning transformer-based model Experience deploying deep-learning based models to edge devices or air gapped environments Prior experience in defense tech or start-up US Salary Range $220,000 - $292,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Healthcare Benefits US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents. Additional Benefits Income Protection: Anduril covers life and disability insurance for all employees. Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available. Professional Development: Annual reimbursement for professional development. Commuter Benefits: Company-funded commuter benefits based on your region. Relocation Assistance: Available depending on role eligibility. Retirement Savings Plan US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options. UK & IE Roles: Pension plan with employer match. AUS Roles: Superannuation plan. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. To view Anduril's candidate data privacy policy, please visit ********************************************** #J-18808-Ljbffr

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr