Staff engineer jobs in Washington, DC - 15,634 jobs

We are seeking 2 Mechanical Engineers to drive the mechanical integration of advanced sensor systems onto a 4 seat, rugged vehicle. This role involves designing mounting solutions for all components, optimizing space for mission equipment, and ensuring ruggedness and operational reliability under demanding conditions. Key Responsibilities • Lead mechanical design efforts for the project, ensuring all components are properly integrated onto the vehicle platform. • Select mechanical mounting points for all components on the vehicle, considering: Human factors and operator ergonomics, Maximizing available payload bed space for mission gear (e.g., rucksacks), and Optional mission equipment rack occupying the rear seating area. • Collaborate with Prime to incorporate RF interference considerations into mounting location design. • Design mechanical mounting brackets or apparatus for all components, ensuring: Components remain below the highest point of the stock vehicle design during transport and RF sensor mast and other components can optionally elevate above the roll cage post-deployment (variable geometry). • Integrate cable routing into the design with emphasis on: Ruggedness and resistance to damage during aggressive vehicle operation and Secure and protected cable runs for long-term durability. Skills solidworks, ruggedized, military, Mounting, vehicle, MHZR, human factors Top Skills Details solidworks,ruggedized,military,Mounting Additional Skills & Qualifications Required Qualifications • Bachelor's degree in Mechanical Engineering or related field (or equivalent experience). • Proven experience in mechanical design for ruggedized or military platforms. • Expertise in CAD tools (ideally Solidworks) and mechanical integration for complex systems. • Strong understanding of human factors and space optimization in vehicle design. • Eligible for US DoD Clearance Preferred Qualifications • Experience with Polaris MRZR or similar tactical vehicles. • Familiarity with RF interference considerations in mechanical design. • Knowledge of coatings and finishes for military-grade durability. Experience Level Intermediate Level Job Type & Location This is a Contract position based out of Sterling, VA. Pay and Benefits The pay range for this position is $85.00 - $85.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Sterling,VA. Application Deadline This position is anticipated to close on Jan 19, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

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

i3 has an exciting opportunity for a Digital Hardware Engineer to support the Naval Research Laboratory, Tactical Electronic Warfare Division. The TEWD's mission is to protect the warfighter from emerging threats by advancing electronic warfare (EW) through analysis and RDT&E of current and future technologies. Pay Range $115,000 - 189,000 The pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, geographic location, and any applicable laws. Responsibilities Design, implement, analyze and test FPGA-based digital systems. Develop HDL and block designs for FPGAs. Integrate manufacturer IP FPGA cores (processor, ADC, DAC, etc.) into customized firmware architectures. Design and validate testbench routines for simulation of FPGA designs and sub-designs. Generate technical reports documenting design and analysis. Qualifications Bachelor's degree in electrical/computer engineering, physics, or related field. Minimum two (2) years of experience. Thorough understanding of HDL (VHDL or Verilog). Experience with buses such as RS232, RS422, UART, SPI, I2C. Ability to generate architectural block diagrams from existing firmware designs. Experience developing and testing FPGAs or ASICs. Knowledge of Altera and Xilinx development environments (e.g. Vivado, Quartus, Synplify). Knowledge of FPGA/ASIC simulation and validation environment (e.g. ModelSim, Verdi). General knowledge of DSP coding and communication protocols. Preferred Master's degree in electrical/computer engineering, physics, or related field. Knowledge of microprocessor architecture and high speed interfaces as applied to FPGA Core functions. Experience with analysis of existing digital logic designs. Ability to design/recognize control flow computational paths and DSP data path components (e.g. digital filters, FFTs, and error-correction codes). Experience authoring technical reports and presentations. Security Clearance Current Secret clearance with ability to possess TS/SCI. About i3 i3 is a technically diverse, 100% team member owned business, headquartered in Huntsville, Alabama specializing in missile and aviation systems engineering and logistic services, electronic warfare and electromagnetic effects analysis, UAS system integration and flight operations, full lifecycle C5ISR engineering services, cybersecurity and IT/IA innovative solutions and virtual training, simulation & serious game development and implementation. We have established a broad offering of products and capabilities collectively providing decades of experience supporting the full complement of DoD military services, Missile Defense Agency, National Aeronautics and Space Administration, and a variety of other Government organizations and private industry customers. Perks of being a team member owner include: Long-term financial security Higher job satisfaction Greater job security Personal and professional growth Great company culture Other outstanding benefits: Excellent insurance coverage 401(k) match Generous PTO Health and wellness incentives Tuition and certification reimbursement Countless opportunities to give back to the community through i3 Cares We work hard. We compete hard. We play hard. Apply now to join us! #J-18808-Ljbffr

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

A leading health solutions company is seeking a Director of Engineering Clinical AI in Washington, D.C. to spearhead the development of AI technologies that improve clinical decision-making and patient outcomes. This role requires over 10 years in AI/ML project management, with an emphasis on leadership in healthcare settings. The position includes managing a talented team and ensuring compliance with medical standards. Competitive salary and comprehensive benefits included. #J-18808-Ljbffr

Saalex is seeking a Senior Principal Safety Engineers in Bethesda, MD to support NSWC Carderock's requirements for engineering, IT, and technical support for data analysis, software development and modifications, control system development, IT and Information assurance (IA). The work performed will be in support of various projects related to surface ships, submarines, boats and combatant craft, air vehicles, other vehicles going through air and/or water, associated trainers and simulators from any of the above, and IT infrastructure. Senior Principal Safety Engineer provides software and system safety analysis, risk assessment, and safety verification in accordance with DoD policies and procedures. Responsibilities include but not limited to preparation of system/software safety requirements and verification, execution of system/software safety analyses, safety analysis reports, development of software documentation, and planning and performance of software quality evaluation throughout the software development cycle. Position Type: Full-Time Salary:$140k - $206k annually (depending on experience) Work Location:Onsite. Candidates are required to work onsite full-time in Bethesda, MD. Required: Bachelor's Degree from an accredited institution in Computer Science, Software or IT discipline, Engineering, or Mathematics. Desired: Fifteen (15) years of experience with software and system safety analysis, risk assessment, and safety verification in accordance with the requirements of MIL-STD-882E and the Department of Defense (DOD) Joint Software System Safety Engineering Handbook (JSSSEH) on a variety of systems and producing documentation of analysis results. The fifteen (15) years of experience shall include experience in all of the following: Preparation of system/software safety requirements and verification requirements, execution of system/software safety analyses, safety analysis reports and data packages/preparation material for safety review panels (such as Weapons System Evaluation Review Board (WSERBs) and Technical Review Panel (TRP)), preparation of System Safety Program Plans (SSPPs) and System Safety Management Plans (SSMPs), Fly-By-Wire (FBW) Audits, preparation of Safety Assessment Reports (SAR), analysis and assessment of Engineering Change Proposals (ECPs), Software Trouble Reports (STRs), and Software Change Notices (SCNs and development of safety test plans and review of safety test documentation. Development of software documentation that includes preparation of Software Development Plans (SDPs), Software Requirement Specifications (SRSs), Software Configuration. Management Plans (SCMPs), Software Detailed Design Documents (SDDDs), and Interface Design Documents (IDDs); and experience in the planning and performance of software quality evaluation throughout the software development cycle. Providing safety reviews of development and design documentation, as well as hazard analyses for Lithium-Ion battery systems such as the Critical Battery Management System (CBMS). Security Clearance: Active Secret clearance required. Requirements to obtain a clearance include US Citizenship, security investigation, etc. Education/Experience: Bachelor's Degree from an accredited institution in Computer Science, Software or IT discipline, Engineering, or Mathematics. Competitive Compensation: We offer a highly competitive salary package to attract and retain top talent in the industry. Our compensation structure is designed to reward exceptional performance and provide financial stability. Comprehensive Health Coverage: We provide a comprehensive health insurance plan that covers medical, dental, and vision expenses. Our goal is to ensure that our employees have access to quality healthcare and can take care of their well-being. Retirement Savings: We offer a robust retirement savings program, including a 401(k) plan, to help our employees plan for their future. We provide matching contributions to help accelerate their savings and build a solid financial foundation. Work-Life Balance: We believe in the importance of work-life balance and understand that our employees have personal commitments and responsibilities. We offer generous paid time off to support our employees in maintaining a healthy work-life integration. Professional Development: We are committed to the growth and development of our employees. We provide various opportunities for professional development, including training programs, and tuition reimbursement, to help them expand their skills and advance in their careers. Recognition and Rewards: We value the contributions of our employees and believe in recognizing their achievements. We have a robust recognition program in place, including employee appreciation events, and employee recognition awards, to acknowledge and reward exceptional work. Positive and Inclusive Work Environment: We foster a positive and inclusive work environment where diversity is valued, and employees feel respected and empowered. We promote collaboration, open communication, and teamwork to create a supportive atmosphere that enables everyone to thrive. Saalex Solutions, a division of Saalex Corp., is an Engineering and Information Technology Services company with a focus on Test Range Operations and Management, Engineering and Logistics Services, Data Analytics and Business Intelligence Services and Information Technology Services. Founded in 1999 by Travis Mack, Saalex Solutions is a Service Disabled Veteran-Owned and Operated business with prime and subcontract expertise serving the Navy, Army, Air Force, NASA, corporate clients, and local governments. We employ a workforce of over 600 at military and NASA installations nationwide and have offices in Camarillo CA, Rockledge FL, Newport RI, Ridgecrest CA, Corona CA and Keyport WA. Equal Opportunity Employer/Veterans/Disabled Pay Transparency Nondiscriminatory Provision #J-18808-Ljbffr

100% onsite - Columbia, MD We are seeking a highly skilled and hands-on Senior Staff Enginee r to lead development efforts in AI, MLOps, and signal processing, with a strong emphasis on deploying intelligent systems on microcontrollers and working directly with customer data. This role demands not only proficiency in machine learning frameworks but also a deep understanding of the underlying algorithms and their practical application to real‑world sensor data. The ideal candidate will also bring extensive experience in software production development, including CI/CD pipelines, GitHub workflows, and rigorous testing practices. Key Responsibilities Architect, develop, and maintain scalable ML product codebases with production‑grade quality. Lead MLOps strategy including model deployment, monitoring, and lifecycle management. Apply advanced signal processing techniques to one‑dimensional sensor data (e.g., audio, motor control, accelerometers). Collaborate with customers to ingest, debug, and analyze their data for model development and validation. Design and implement machine learning models tailored to time‑series and sensor data, with a strong grasp of algorithmic foundations (e.g., SVM, decision trees, neural networks, reinforcement learning). Optimize and deploy ML models on microcontrollers (MCUs) and embedded platforms. Develop smaller, faster models suitable for edge deployment. Implement and maintain CI/CD pipelines, GitHub workflows, and automated testing frameworks. Write and maintain unit tests, integration tests, and documentation to ensure code quality and reliability. Assemble hardware setups (e.g., sensor arrays, embedded boards) and collect data from real‑world environments to support model development and validation. Mentor junior engineers and contribute to technical leadership across teams. Stay current with emerging technologies in AI, embedded ML, and signal processing. Qualifications Education: Master's or PhD in Computer Science, Electrical Engineering, or related field. Experience: Minimum 5 years in software development with a focus on AI/ML and signal processing. Proficiency in Python, MATLAB, and at least one other language (e.g., C, C++). Deep understanding of ML algorithms, reinforcement learning and practical experience implementing them from scratch or customizing existing frameworks. Experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit‑learn, LIBSVM). Strong background in digital signal processing (DSP) for audio and time‑series data. Hands‑on experience with sensor data (e.g., accelerometers, motor control systems). Experience working with customer datasets, including debugging and preprocessing. Proven ability to optimize performance and size. Extensive experience with CI/CD pipelines, GitHub version control, and automated testing. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Strong understanding of software engineering best practices and agile development. Minimum professional experience: Updated to 6 years of hands‑on experience in ML/AI development. Technical leadership requirement: Candidates should currently hold a Senior Staff Engineer role in ML/AI development or a Staff Engineer position with at least 1 year of experience in that role. Preferred Qualifications Experience with edge computing or embedded systems. Knowledge of real‑time systems and latency optimization. Contributions to open‑source projects or published research in AI/signal processing. Additional Information The expected annual pay range for this position is $134,500 - 185,000. This position is also eligible for bonus opportunities and commission pay. Please note that the final offer amount will be dependent on geographic location, applicable experience, and skillset of the candidate. Renesas offers a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre‑tax commuter benefits, life insurance, AD&D, and pet insurance. In addition to elective benefit options, benefited employees receive company‑paid life insurance and AD&D, LTD, short term medical benefits as well as paid sick time, paid holidays, and accrued paid vacation. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources. Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.' As the industry's leading expert in embedded processing with unmatched quality and system‑level know‑how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power‑efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.' At Renesas, you can: Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things. Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people's lives easier, safe and secure. Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people‑first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark? Join Renesas. Shape Your Future with Us. Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law. For more information, please read our Diversity & Inclusion Statement. Renesas Electronics deals with dual‑use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas. We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in‑office days are Tuesday through Thursday for innovation, collaboration and continuous learning. #J-18808-Ljbffr

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

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

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

Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Senior ESS Design Engineer (DE) is a member of the Project Engineering Electronic Security Systems (ESS) team and a lead engineer to Federal and Non-Federal design projects. The DE will provide support through the design project life cycle from sales concept to design development, construction drawings to construction administration support. As a technical resource on a project team, you will be instrumental in the determination and execution of client and system requirements and will collaborate with support teams to bring your design to life. Through our workflows, you'll have access to incredible technology and tools to help you articulate and deliver your design while being supported by global resources. The DE will be supported and mentored by Solutions Architects and Director of Engineering. DE will maintain both primary and supportive roles on complex ESS projects through direction of the Director of ESS Engineering. This role shapes the technical foundation and delivery quality of Diversified's ESS practice. Decisions made in this role define engineering standards, drive continuous improvement, and influence the company's ability to scale and maintain high-quality ESS solutions across regions. By aligning engineering practices with business needs and field realities, this role contributes directly to customer satisfaction, operational efficiency, and Diversified's reputation as a leader in electronic security system integration. Decisions made by this role impact the Engineering, Field Services, and Project Management teams, with a primary focus on the design, deployment, and support of ESS solutions. This role makes strategic and decisions related to technical standards, process improvements, team structure, vendor engagement, and quality assurance. These decisions directly influence the effectiveness and consistency of ESS engineering output and affect how well field and service teams are supported throughout the project lifecycle. The DE will report directly to the Director of ESS Engineering. What You'll Do: Contributor for complex engagements and works directly with clients and the Design Engineering team to develop specifications, designs, budgets, timelines and manage expectations. Ability to speak to Federal Security System standards such as FIPS (Federal Information Processing Standards) and FICAM (Federal Identity, Credential, and Access Management). Strong understanding and experience implementing design standards based around UL2050 and ICD 705. Conceptualize system designs and determine system requirements. Provide technical expertise and coordination information to support the architecture, installation and planning of electronic security solutions. Develop ESS project estimates and proposals. Develop the Bill of Materials (BOM) and support documentation. Develop detailed 30%, 60%, 90%, 100% IFC, and/or Shop Drawings. Research, identify, and recommend technology options for clients. DE may have client interaction and contribute to the P and L performance. Strong understanding of Internal and External project lifecycles. Project lifecycle is important and learning the standards our clients are comfortable with is just as important as selling new technology and solutions where they fit. Theposition bears the responsibility to develop long-lasting client partnerships & work with team members to maintain the account on all levels. Maintains expertise in the industry through ongoing review of trade publications, participation in industry trade shows, seminars and educational forums. Provides direction and counsel to junior personnel in engineering projects and guides issue resolution. Attend appropriate manufacturer training, attend or lead lunch and learn and continue online education. Represent ESS Engineering in enterprise-wide initiatives and strategic discussions related to delivery, quality, and customer satisfaction. This role is responsible for strategically partnering with subcontractors, manufacturers, and distributors. This position will occasionally work directly with enterprise and strategic clientele to foster optimal relationships. Occasional travel to client sites is required to resolve project escalations, provide customer consultation, and/or assist Field Engineering with commissioning efforts. 25% Travel. What You'll Bring: Education & Certifications: Bachelors Degree or Equivalent Years of Experience Required Skills/Qualifications: 5-7+ years of experience in ESS systems design, integration, or engineering required. 2+ years of team leadership or engineering management experience. Familiarity with platforms such as Lenel, CCure, Honeywell, Brivo, Milestone, ExacqVision, Eagle Eye, Axis, and Hanwha. Experience with enterprise-level networking, IP-based ESS system architecture, and AutoCAD. Experience managing multi-discipline technical teams and supporting regional or enterprise-scale project delivery. Proven experience leading engineering efforts within ESS domains such as access control, video surveillance, and intrusion detection systems. Strong understanding of system integration, project engineering processes, and field-to-office feedback loops. Skilled in process improvement methodologies, technical governance, and cross-functional coordination. Effective communicator with the ability to engage internal teams, vendors, and executive stakeholders. Analytical mindset with ability to interpret performance data, identify trends, and drive strategic improvements. Demonstrated ability to coach, mentor, and lead engineering teams in a dynamic and evolving environment. Experience managing vendor relationships and coordinating enterprise-level technology training. Strong organizational and time management skills with a focus on operational efficiency and documentation quality. Preferred Skills/Qualifications: TS/SCI Clearance Strongly Preferred Experience with Federal Security Systems, Information Technology, or related field preferred Industry certifications in access control or video surveillance (e.g., Lenel Onguard, Milestone, etc.) are a plus. What We Offer: Along with competitive compensation, you will be eligible for the following benefits: Multiple medical plan options to suit your family's needs Dental (including orthodontic coverage) and vision plans Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP) Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401k with Employer Match Paid Time Off and Paid Holidays Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services And much more To learn more about becoming part of the Diversified team, visit us at our career site or email us at **************************. Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact ************************** so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, 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. #J-18808-Ljbffr

Are you an engineer with a passion for data center design and looking for a challenge to chart your own course? If so, we are looking for you to help us make history. AWS data centers are the foundation upon which our software and services operates to meet the growing demands of our customers. This role provides the opportunity to collaborate with business development, design engineers, data center operations professionals, external vendors and consultants, and other cross-functional teams to assess and select colocation facilities that meet our business requirements. In this role you will be able to showcase your in-depth understanding of data center design, engineering, and operations of infrastructure common to data centers, telecommunications facilities and other critical environment infrastructure. You will work directly with internal business teams and with colocation vendors to identify, document, and resolve any operational/design deficiencies which could impact a site's capability or availability. You will have opportunities to influence standards for data center products, build and improve processes, and to guide the direction of our colocation data center portfolio on a global scale. So, if you are a strong leader with solid data center mechanical, electrical, plumbing, and structural (MEPS) infrastructure design engineering experience, Amazon will present a fast paced, fun, and exciting work environment that is unique in every aspect and offers an exceptional rewarding opportunity for you. AWS Infrastructure Services (AIS) 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. Key job responsibilities You will be responsible for the following: - Conduct site assessments against AWS standards for collocation data centers, legacy facility upgrades, and general capital endeavors. - Perform risk analysis and availability calculations for vendor owned and operated collocation data center's infrastructure to determine fit-for-use/fit-for-service. - Influence AWS' design and specification requirements to meet our business needs for AWS colocation products. - Investigate and document root-cause failure analysis associated with infrastructure and equipment failures. - Work with vendors and local agencies having jurisdiction to ensure compliance with federal, state and municipal requirements and codes. - Collaborate with engineering, operations, and commissioning teams to properly test and validate the installation, operation, and performance of critical electrical/mechanical/fire suppression/controls systems/structural systems. - Support Operations, data scientists and other business partners to determine utilization, efficiency, and performance analysis on critical systems. - Travel to Data Center sites as required - International & Domestic (up to 50%) About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the 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. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - 6+ years of data center design, construction, operations, or facility maintenance experience - 6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience - Bachelor's degree in Engineering or a related field - Knowledge of critical data center mechanical and electrical equipment - Experience in data center design, construction, operations, or facility maintenance - Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities - Experience researching new designs, technologies, and construction methods of data center equipment and facilities Preferred Qualifications - Professional Engineering or Architectural License - Knowledge of building codes and regulations for your region - Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ******************************* . USA, GA, Atlanta - 136,600.00 - 184,800.00 USD annually USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually

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

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

We are seeking a highly experienced and security-minded Senior Staff Engineer - Backend & Cloud, Tech Lead to join our team in a hybrid capacity based in Seattle, WA. This role blends deep technical expertise with leadership responsibilities, requiring a strong foundation in backend development, cloud-native architecture, and infrastructure automation. The ideal candidate will lead engineering efforts while coordinating effectively with offshore teams to ensure delivery of scalable, secure, and maintainable systems. Responsibilities Participate in design, architecture and implementation of software systems solving complex problems. Includes defining, scoping and estimating stories and work artifacts. Ensure delivery of high quality, scalable, maintainable and well tested code Document designs. Provide on-call support for systems the team owns. Serve as the face of the offshore development team and stakeholders Act as the primary point of contact for Engineering Managers (EMs) and other onsite stakeholders Ensure effective communication and coordination between onsite and offshore teams Work with tech leads to align priorities, architecture decisions, and coding standards Break down epics and features into smaller technical stories for the offshore team Coordinate with other tech leads, ensuring that PR approvals follow defined processes Ensure offshore team participation in daily stand-ups and facilitate transparent status reporting Oversee delivery ownership for offshore contributions, ensuring timely and quality outcomes Manage knowledge transfer and attrition handling within the offshore team Handle issue escalation and proactively resolve blockers impacting the offshore team Provide progress updates and ensure accountability for the offshore team's commitments Qualifications 10+ years professional hands on experience delivering quality software Excellent proficiency in Java and Spring boot framework Experience with messaging technologies and streaming platforms (Kafka) Experience with RESTful architecture and micro services Proficiency with Cloud technologies (AWS, Kubernetes) GCP is a plus Must know modern infrastructure tools and pipelines (GitLab, CI/CD, Terraform) Test automation experience at all levels (Unit, Integration, Regression and Performance/Load) Familiar with logging and metrics tools (New Relic, Splunk) Should be able to articulate and architect a well-designed system Familiarity with relation databases is a plus Retail experience is a plus Understanding of modern warehouse management systems is a bonus Experience with messaging technologies and streaming platforms (Kafka) Experience with RESTful APIs, micro services and event driven architecture Proficiency with Cloud technologies (AWS, Kubernetes, Docker) GCP is a plus Must know modern infrastructure tools and pipelines (Github, GitLab, CI/CD, Terraform) Familiar with logging and telemetry tools (New Relic, Splunk, Dynatrace) Familiarity with relation databases We have a global team of amazing individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups. What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun. People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. To know more about Confiz Limited, visit *************************************** #J-18808-Ljbffr

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

The Digital Infrastructure Network Manager program within the Decision Advantage Business Area of Defense is looking for a cleared Systems Engineering Lead to support all aspects of the product lifecycle for agile development and deployment systems for the network. Our team supports the Advanced Battle Management System's (ABMS) Digital Infrastructure (DI) Network Manager program. In this mission we support the Department of the Air Force (DAF) to field and operate the ABMS Digital Infrastructure, which is foundational in creating a unified command-and-control infrastructure connecting/ integrating sensors, data streams, and weapon systems across all domains (air, land, sea, cyber, and space). This will ultimately allow U.S. forces from all services - as well as allies and partners - to sense, make sense and act upon a vast array of data and information faster than adversaries can detect and respond to. Ability to work in Northern Virginia, Dayton, OH, or Orlando, FL is highly preferred. Candidate working from remote locations will also be considered but must be willing and able to go onsite for meetings. Primary Responsibilities The ABMS DI Network Manager Systems Engineering Lead's responsibilities include the following: Provide expertise in the Systems Engineering Lifecycle for all phases of the lifecycle Responsible and Accountable for systems engineering artifacts including Requirements, Architecture, and other informative artifacts for product development Primary interface with customer and other partners to ensure requirements and operational objectives are technically feasible Facilitate and lead technical information exchange in support of program objectives Work with technical program manager to develop technical roadmaps to support objectives from customer Document risk, requirements, interfaces, constraints in an organized manner Provide performance feedback and program execution guidance to direct reports to plans coordinated with the technical program manager Build a culture of collaboration and transparency, ensuring all parties are aligned and informed Basic Qualifications Must possess a minimum of Top Secret clearance with the ability to obtain a SCI clearance. BS degree and 12 - 15 years of prior relevant experience or Masters with 10 - 13 years of prior relevant experience. Demonstrable knowledge of systems engineering concepts and applying these concepts to Department of Defense programs. Strong written and verbal communication skills to collaborate with customer representatives, domain experts, and other systems engineers in the development of complex DoD systems. Demonstrated ability to participate in cross-functional planning, coordination, and task execution situations involving the full spectrum of system integration activities. Ability to work well with people from many different disciplines with varying degrees of technical experience. Ability to remain flexible and agile to execute per customer needs Experience in SysML and Agile program execution tools. Preferred Qualifications Prior experience working on ABMS or JADC2 initiatives. Prior experience support Department of the Air Force programs. Previous experience working on complex multi-domain systems. Experience with large weapons systems and command and control platforms across the DoD portfolio. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting January 16, 2026 Pay Range Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit *************** Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ************************************ Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at *****************************. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Remote #J-18808-Ljbffr

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

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