Research and development engineer jobs in Towson, MD - 2,345 jobs

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

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $161,800 - $184,600 for Senior Machine Learning Engineer McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit ************** Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Hivemind Solutions Test department (HMS Test) is a group on a mission to build comprehensive and robust testing infrastructure that supports the development and deployment of the world's best AI pilot and most reliable aircraft. Hivemind Test is dedicated to ensuring the highest level of quality, reliability, and performance in our Hivemind software ecosystem. This ecosystem includes software for AI behaviors, embedded systems, system integration, and more. Our group is charged with validating and verifying our Hivemind software meets reliability standards and is operationally ready to meet mission objectives on aircraft, such as real-world jets, Shield AI's V-BAT and beyond. As a HIL Integration Engineer, you will be at the epicenter of integration and testing for deploying our Hivemind Software and AI Pilot on various aircraft platforms. You will be helping us build Hardware-In-The-Loop infrastructure to execute the integration and testing of SW and HW systems throughout simulation and on-ground test campaigns. Our test campaigns are hands‑on and fast paced, depending on high-fidelity simulation hardware to ensure high-quality flight software releases. Your efforts will be rewarded with successful flight test events, and your contributions will play a key role in developing an AI autopilot, enabling intelligent aircraft, historic aviation firsts and fulfilling our mission to protect service members and civilians the world over! What you'll do: Design, build and maintain Hivemind Hardware-in-the-loop infrastructure including mechanical design, electrical integration and building fixtures with lab technicians. Lead sensor integration into Hivemind targeted platforms. Create software support utilities and automated test tools for Hardware-In-The-Loop test fixtures and simulated flight testing (Python and/or C++). Hands‑on testing, integration and debugging during on‑ground and in‑flight test campaigns. Work with Hivemind engineering to test and integrate software and hardware systems preparing for simulation milestones and flight tests. Become a subject‑matter‑expert for running Hivemind tests on our Hardware-In-The-Loop and Vehicle-In-The-Loop systems. Run simulated flight tests to validate Hivemind + aircraft subsystems. Support on‑site flight testing that involves system configuration, running aircraft software, and data post‑analysis. Contribute to and execute test plans to validate Hivemind SW and HW systems. Drive continuous improvement in testing methodologies, tools and rapid prototyping. Required qualifications: Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; or equivalent work experience. Hands‑on mechanical and electrical engineering skills. Proficiency in Python (or C++). Experience in robotics, small UAS, or related hands‑on engineering projects. Strong analytical, problem‑solving, and debugging skills. Excellent communication and collaboration skills, with the ability to work effectively with cross‑functional software, hardware and mechanical engineering teams. Adaptability and a willingness to learn new technologies and methodologies quickly in a fast‑paced environment with a bias towards action. The ability to obtain and maintain a SECRET Clearance. US citizenship is required as only US citizens are eligible for a security clearance. Preferred qualifications: Exposure to CAD software (i.e.. NX, Solidworks). Experience rapid prototyping, building and/or flying small aircraft, such as quadrotor drones, robotics or similar. FIRST Robotics experience. Experience in the robotics, aerospace, space or defense industries, working with complex systems and adhering to stringent standards and regulations. Experience working with software management tools (Git, AzureDevOps/Jira, Artifactory) helpful. Active SECRET clearance. $140,000 - $210,000 a year Full‑time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part‑time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. #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

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

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 PCB layout design, layer stack‑up planning, and routing for high‑speed, high‑density, and high‑power mining hardware systems. Collaborate with global hardware, mechanical, and thermal design teams to ensure layout manufacturability, mechanical compatibility, and electrical integrity. Perform signal integrity (SI) and power integrity (PI) simulations to verify layout quality and optimize electrical performance. Define PCB design rules, constraints, and standards, including impedance control, differential pair routing, and trace length matching. Conduct DFM (Design for Manufacturing) and DFA (Design for Assembly) checks to ensure production readiness and yield optimization. Participate in schematic reviews to propose improvements on component placement, grounding schemes, and decoupling strategies. Work with suppliers and PCB vendors to define material stack‑up, layer configuration, and ensure process capability compliance. Support prototype bring‑up, signal measurement, and issue analysis using high‑speed testing tools such as oscilloscopes and TDRs. Maintain and manage all layout‑related documentation, including Gerber files, fabrication drawings, and version control records. Stay updated with the latest PCB layout technologies, simulation tools, and design methodologies for continuous improvement. How you will stand out Bachelor's degree or above in Electrical, Electronic, or Computer Engineering. Minimum 3 years of PCB layout experience in server, ASIC mining, or data‑center hardware development. Proficient in Cadence Allegro, Altium Designer, or Mentor Graphics for high‑speed PCB layout design and constraint management. Strong understanding of Signal Integrity (SI) and Power Integrity (PI) concepts, including impedance control and crosstalk analysis. Familiar with high‑speed interfaces such as PCIe, DDR, USB, and Ethernet, as well as low‑speed communication buses (I²C, SPI, UART). Knowledge in multi‑layer board stack‑up design, return path control, and grounding optimization. Experience with SI/PI simulation tools (e.g., Sigrity, HyperLynx, ADS) is preferred. Understanding of PCB fabrication processes, material characteristics, and controlled impedance techniques. Strong documentation discipline and familiarity with revision control systems. Excellent teamwork, communication, and problem‑solving skills in a fast‑paced, innovation‑driven global R&D 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

At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That's why we need smart, committed people to join us. Whether you're looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain. We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways. Are you curious about being part of our growth story while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation. The Senior Project Engineer, Data Center Design - Federal and Special Projects is a client facing design professional responsible for the conceptual design, project scope development and detailed design of special projects in the data center and critical facility markets. Responsibilities Responsible for managing the design of federal and special projects within the US with a combined value between $40 million a year. Direct third party architectural and engineering teams in the design of data center projects in accordance with Iron Mountain design standards and federal security standards. Interface with internal finance, sales, and operations teams to validate project fit-out and build programs. Work with outside parties such as developers, consultants, equipment manufacturers, construction managers, and third party project management firms in order to deliver projects. Provide design and engineering oversight to include budget, schedule and overall product delivery on assigned critical infrastructure activities and projects. Support sales engineering team in evaluating options necessary to support pursuit of business opportunities. Support procurement of long lead, owner furnished equipment for data center projects. Promote a responsible platform of inclusion and diversity within the Design and Development team. Provide professional assistance as requested in support of global projects. Key Skills, Requirements and Competencies Applicable four year college degree required 7 - 10+ years experience required A minimum of five years experience in managing design teams for mission critical projects. A minimum of ten years in design and construction project delivery. In-depth knowledge of complex electrical, mechanical, life safety and control systems associated with critical facilities or data centers. Knowledge of national and local building codes. Experience in implementation of IDC 705 requirements into new and existing facilities preferred. Professional written, presentation, and customer relationship skills. Creating, building, and managing relationships with key suppliers, business partners, and internal customers are vital to this position. Total travel 25%; overnight travel 25%. US Citizenship Required Active DOD Security Clearance preferred, ability to obtain a DOD security clearance is required. Professional Engineering license is preferred, but not required. #Li-Remote Reasonably expected salary range: $142,100.00 - $189,400.00 Category: Real Estate & Facilities Iron Mountain is a global leader in storage and information management services trusted by more than 225,000 organizations in 60 countries. We safeguard billions of our customers' assets, including critical business information, highly sensitive data, and invaluable cultural and historic artifacts. Take a look at our history here. Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics. Please see our Values and Code of Ethics for a look at our principles and aspirations in elevating the power of our work together. If you have a physical or mental disability that requires special accommodations, please let us know by sending an email to accommodationrequest@ironmountain.com. See the Supplement to learn more about Equal Employment Opportunity. Iron Mountain is committed to a policy of equal employment opportunity. We recruit and hire applicants without regard to race, color, religion, sex (including pregnancy), national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. To view the Equal Employment Opportunity is the Law posters and the supplement, as well as the Pay Transparency Policy Statement, CLICK HERE Requisition: J0096841 #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

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

FST Technical Services Commissioning (Cx) division is one of the leading Cx firms in the country. We partner with clients for quality assurance in the design, construction, and post-acceptance phases of building projects. We ensure that equipment in mechanical, electrical, plumbing, and associated systems are designed, installed, and functionally tested to meet the clients requirements and design intent. About the job: A commissioning senior project engineer reports to a team leader and is responsible for the delivery and execution of our professional services tasks for equipment in mechanical, electrical, plumbing, and associated systems. Primary activities include completing office assignments, time and expense management, in-field installation validation, field observation reports and meeting notes, functional performance testing, on-site and factory witness testing, writing of reports and meeting notes, submittal reviews, and design documentation evaluation. Additional activities include executing target billable hours, managing tasks within time budgeted, leading Cx meetings, assisting the construction team with identifying/solving technical issues when they arise, and interpreting contract documents to predict scope gaps, maximize opportunities to provide value for clients, and reduce risk. Administrative activities include supporting the team leader in coordinating weekly staff scheduling, training/mentoring team members on proper documentation, field procedures, and equipment usage, participating in and leading sessions of the company-wide developmental safety and training programs, and supporting revenue targets and quality assurance goals by expanding relationships with existing clients. Candidate must be able to travel to and from various job sites within the assigned region. Requirements: Completed a bachelors degree in HVACR, mechanical or electrical engineering, construction management or an associates degree in engineering technology or related trade school, construction, maintenance, or engineering controls experience P.E., LEED AP, or CCP a plus 7+ years employment in a staff or intern position related to maintenance, construction, or engineering controls or 3+ years in the Cx industry 5+ years of experience managing the interconnectivity of building equipment including pumps, fans, motors, air ventilation, chillers, boilers, steam distribution, heat absorption, building automation systems, optimization techniques, electrical distribution, fire alarm, variable refrigerant flow, and waste-water systems. Knowledge of construction drawings, specifications, bid process, and ancillary industry documents Aptitude to solve problems independently and in a team environment Effective verbal and written communication skills Public speaking and presentation skills Adaptability to varying indoor and outdoor working conditions Physical fitness, capability to lift at least 30 pounds, and ability to climb ladders Proficiency in Microsoft Office Preferred Qualifications: Trade association involvement EIT, ACP. CEM or similar certification from experience OSHA 30 or other safe workplace certifications Familiarity with building information modeling #J-18808-Ljbffr

The goal of a Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. You will: Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers. Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines Work with massive datasets to develop both generic models as well as fine tune models for specific products Build scalable machine learning infrastructure to automate and optimize our ML services Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment This role will require an active security clearance or the ability to obtain a security clearance. Ideally You'd Have: Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment Solid background in algorithms, data structures, and object-oriented programming Strong programing skills in Python, experience in Tensorflow or PyTorch Nice to Haves: Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments Experience with computer vision, generative AI models, large language models, or agentic systems Familiarity with ML evaluation frameworks and agentic model design Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$208,000-$300,000 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$187,000-$270,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Kimley-Horn's DC office is seeking a Substation Physical Engineer with 10+ years of experience to join their Power Delivery team! This is not a remote position. Responsibilities Perform conceptual and detailed HV and MV Substation Physical/Electrical design for utilities/substations (including basic layout, electrical arrangement, one line, three-line drawings, plan-section, grounding, AC and DC system drawings) Perform engineering studies and calculations Perform Quality Control reviews on substation physical design projects Assume the role of technical lead on projects with limited guidance Create and review bill of materials for substation physical projects Develop and review proposals, and scopes of work for smaller substation physical projects Plan and lead client meetings (or meeting sections) relating to physical design, as required Provide support for continued professional development of less experienced engineers in team, including technical guidance, and recommending training needs to the group Possess excellent communication skills and the ability to interact with the internal teams and clients to meet project objectives Develop leadership skills in preparation for future roles on the team Qualifications 10+ years of relevant engineering experience in Substation Physical Design Professional Engineering (P.E.) License (or ability to obtain within 12 months) Enjoys working in a fast-paced environment on multiple projects Proficiency in using industry-standard design software such as AutoCAD Experience with grounding studies/lightning protection and lighting studies Experience with bus calculation Experience with CDEGS Base Salary Range: $135,000- $150,000 Eligible for performance-based bonus compensation #J-18808-Ljbffr

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We're a technology company that leads with our humanity-driving our business priorities alongside meaningful social, community, and societal impact. We are seeking a Consultant, Sales Engineer as the customer facing, technical resource supporting Emerging Internet Content Providers, Data Center Operators, and Content Delivery Operators for the United States. The ideal candidate requires a strong technical background with an understanding of optical products, routing/switching products and customer applications. In addition, the candidate should possess the ability to position Ciena's leadership in networking hardware and software solutions as well as how Ciena's offerings differentiate against the competition. Candidate must be located in the United States. How You Will Contribute: * Perform technical oversight, including on-site customer engagements, support customer and internal architectural discussions and requirements definition into the engineering organizations. * Ability to produce written proposals, network engineering designs/documentation, as well as quoting the solutions. * Be able to create, communicate and articulate the value of solutions to customers. * Understand the customers current network, software applications and architecture. * Work with both internal and external organizations to drive solutions for our customers. * Consult with customers on best practices and how to incorporate Ciena's technology into their networks. * Remote sales engineer supporting Ciena's emerging ICP, DCO and CDO customers. * Serve as a customer-facing primary contact for advanced technical issues. * Ability to understand network architectures and their building blocks. * Utilize Ciena's design and modeling tools to model optical network architectures. * Assist in the preparation of quotes, RFx's responses, and forecasts. * Understand and assist customers in their API and software integration efforts. * Collect and assist in assessment of new product features. * Manage and track customer requests and help coordinate sales activities. * Assist Customer Product and Technology solution discussions and presentations * Support in the development of pricing strategies and incentives to win business * Assist in tracking of product deliverables and communicating issues to regional teams * Lead the transition of customers from end-of life products to other Ciena solutions. * Plan and support product certification, acceptance testing, and network introduction activities. * Make independent decisions on routine technical activities in accordance with company policy and procedures. * Travel (up to 50%) to customers sites, R&D locations and technical conferences for customer engagements, technical discussions and presentations. * Performs other duties as assigned. Must Haves: * Building network cost models that drive optimization of network designs. * Understanding basic concepts of Data Center architectures, spine and leaf designs, edge networking, routing, switching and optical transport. * Basic understanding of Automation SW architecture, common workflows, ZTP methods, DCN networking, APIs and networking models. * Familiarity with cloud architecture and deploying / running applications in a cloud environment. * Construction of product feature / price analysis spreadsheets * Sales opportunity and quote tool experience a plus * Project management, organizational skills * Problem solving and communication skills * Strategy development * Time management skills: ability to plan, prioritize, execute & follow-up within a timely manner * Professionalism in attitude, conduct, and appearance Ability to build strong customer relationships and support an overall sales strategy * Technical background and desire to learn new technologies * Demonstrated ability to manage on-going activities such as RFP activity, trials and product acceptance * Must be able to communicate and work with Ciena engineering organizations and articulate the technical concepts and design to our customers. * Excellent organizational skills due to dynamic nature of activities * Superior verbal and written communication skills * Bachelor's Degree (CS, EE), or equivalent experience, required * Master's Degree, preferred * 10+ years telecommunications / industry experience * Engineering or Product Management background required * Prior Data Center Operator and Internet Content Provider sales experience would be beneficial The annual total target compensation pay range for this position is $181,400 - $289,800 USD. This includes both base and incentive compensation. #LI-WH1 #LI-Remote Pay ranges at Ciena are designed to accommodate variations in knowledge, skills, experience, market conditions, and locations, reflecting our diverse products, industries, and lines of business. Please note that the pay range information provided in this posting pertains specifically to the primary location, which is the top location listed in case multiple locations are available. Non-Sales employees may be eligible for a discretionary incentive bonus, while Sales employees may be eligible for a sales commission. In addition to competitive compensation, Ciena offers a comprehensive benefits package, including medical, dental, and vision plans, participation in 401(K) (USA) & DCPP (Canada) with company matching, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company-paid holidays, paid sick leave, and vacation time. We also comply with all applicable laws regarding Paid Family Leave and other leaves of absence. Not ready to apply? Join our Talent Communityto get relevant job alerts straight to your inbox. At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination. Ciena is an Equal Opportunity Employer, including disability and protected veteran status. If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.

Job Title: Project Engineer Key Responsibilities Lead and take end-to-end ownership of the New Product Introduction (NPI) process, coordinating cross-functional teams to plan, execute, and successfully launch new manufacturing programs. Oversee project schedules, budgets, and deliverables to ensure alignment with customer requirements and organizational goals. Act as the primary customer interface for project-related communication, providing status updates and reinforcing the company's reputation as a dependable and high-quality supplier. Deliver consistent and detailed project updates to internal stakeholders, including engineering, operations, quality, and executive leadership, across all phases of the project lifecycle. Identify, evaluate, and proactively mitigate risks related to technical feasibility, cost, quality, safety, and delivery performance. Develop and implement efficient and reliable manufacturing processes that meet or exceed product specifications and quality standards. Prepare, maintain, and manage detailed engineering documentation such as CAD models, Bills of Materials (BOMs), routings, standard rates, PFMEAs, work instructions, and quality control plans. Partner with Tooling Engineers and Design teams to design, validate, and implement custom tooling solutions and inspection gauges. Support continuous improvement initiatives and contribute to the development of innovative manufacturing processes and advanced technologies. Qualifications & Ideal Candidate Profile Bachelor's degree in Mechanical Engineering, Industrial Engineering, or a related field. 5-7 years of project management experience within a manufacturing environment, with a proven track record of successfully launching complex products. Practical experience with manufacturing processes including laser cutting, press brake forming, metal stamping, MIG and projection welding, and complex mechanical assemblies. Working knowledge of Geometric Dimensioning and Tolerancing (GD&T). Familiarity with PFMEA, APQP, and PPAP methodologies. Proficiency in SolidWorks and CAD-based sheet metal design. Understanding of Lean Manufacturing principles and/or Six Sigma methodologies.

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support you by expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. We are looking for you to join our team as a Principal Mechanical Engineer based out of Linthicum, MD. Combat Sensors Hardware Engineering is seeking a self-motivated, experienced mechanical design engineer to support Receiver-Exciter, Processor and Wired Chassis program production efforts. Candidate must possess strong critical-thinking, communication and leadership skills to quickly and efficiently address various mechanical related issues and problems that occur. Candidate must also be able to organize, task and lead a team of supporting engineers through the various design and troubleshooting efforts that occur within the program. Frequent interaction with program management and functional leadership is expected and required with this position. Candidate should be able to provide detailed, clear and concise status reports and relevant information as required to program leadership. Candidate is expected to work closely with outside suppliers to develop solutions and process efficiencies related to program hardware. This position description does not represent a current opening but may be used to identify candidates with skills and experience for positions within Northrop Grumman that frequently become available. Candidates who express an interest may be considered for future positions at Northrop Grumman. This position is contingent upon the ability to obtain/ maintain an active DoD Secret Clearance or the transfer of an Active DoD Secret Clearance and SAP clearance. Basic Qualifications Bachelor's Degree with 5 years of experience, master's degree with 3 years of experience, Ph.D. with 1 years of experience in Science, Technology, Engineering, Mathematics or related technical fields; an additional 4 years of experience may be considered in lieu of a degree. U.S. Citizenship is required. A current/active DoD Secret clearance Ability to obtain Special Program Access (SAP) The ability to work 100% onsite with the ability to travel 10-25% to various suppliers Strong understanding of mechanical engineering principles and practices and the ability to work independently Proficiency in 3D CAD software, especially NX: Demonstrated experience and expertise in using 3D CAD tools, focusing on NX software for detailed mechanical designs. Knowledge of manufacturing processes and materials. Knowledge and experience in Bill of Material (BoM) management and/or part management software suites (ISE, MPLM) Innovative thinking to improve processes and designs and the ability to troubleshoot and resolve issues that arise during the manufacturing process. Ability to coordinate with cross-functional teams to ensure program success. Strong leadership skills to guide and mentor junior engineers. Preferred Qualifications Previous experience in mechanical design, including designing components and systems, interpreting technical drawings, and ensuring compliance with specifications and standards. Strong analytical and problem-solving skills to address technical challenges and develop innovative solutions from the subcomponent level to the final customer installation phase. Effective communication skills to liaise with cross-functional teams, present technical designs and solutions, and manage projects efficiently from conception to completion. Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Northrop Grumman has approximately 90,000 employees in all 50 states and in more than 27 countries. We strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives, and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs, and services in the world. Our Values . The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve. Our Responsibility . At Northrop Grumman, we are committed to maintaining the highest ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world. Primary Level Salary Range: $98,900.00 - $148,300.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Our client is seeking a Controls Engineer to sit in Hanover, MD. This individual will be responsible for: - Design control systems in support of conveying applications where specific features of conveyor equipment are enhanced (enabled) by electronic controls. - Independently write, implement, document and debug software for controls systems including field devices such as photoeyes, shaft encoders, barcode scanners, solenoids, scales, etc.... - Independently design in CAD electrical control panel layouts, bills of materials and schematics. - Execute budgeting, estimating and pricing of control systems per project or proposal scope. - Manage procurement of electrical and control components for control systems. - Oversee value engineering of design, components and materials. - Manage and direct on-site (in-plant) installation and commissioning of control systems in conjunction with equipment installations or leads project commissioning and troubleshooting of field installations - Create documentation and training materials for all potential users including but not limited to Intralox engineers, customers, suppliers, and subcontractors. - Provide remote and on-site (in-plant) troubleshooting of control systems. - Complete assigned projects to quality standards, on time, and within budget. - Interface with a global team of like-minded professionals. Salary ranges from $100-150,000 based on experience We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements -Bachelors degree in Electrical Engineering or related field -3-5+ years of software programming experience in industrial automation -Knowledge of Rockwell Controls, Siemens, or Beckhoff platform and comfortable in ladder logic and structured text -Proficient in configuring PLCs, HMIs, computers, networks, cameras and variable frequency drives which are used to control sorters, conveyors, and other related equipment -Experience in AutoCAD Electrical for control circuit development or similar experience -Strong verbal and written communication -Willingness to travel domestically and internationally as needed

Who YOU are and what YOU can become We are seeking a hands-on, cross-functional Lead R&D Composites Engineer to join our Advanced Technology team, supporting new development projects. This role is ideal for a leader with a passion for materials innovation, rapid prototyping, and getting ideas into real-world hardware. You will work across materials research, tooling, testing, and manufacturing development to accelerate new composite technologies. You will collaborate with various internal functional groups and outside entities, such as research institutions and suppliers. The lead engineer should be self-driven, resourceful and highly collaborative. An ability to manage multiple projects within time constraints is required. Who WE are and where WE are going At ST Engineering MRAS, our employees have amazing opportunities to work on advanced technologies and systems that support thousands of customers and millions of people worldwide every day. From the first flight across the Pacific Ocean to developing highly complex structures for the most popular aircraft in the world, we have come a long way always with a can-do approach to problem solving while delighting customers with our high say-do ratio. We are looking for people with innovative ideas and the drive to help us grow into the future. A pioneer in the production and assembly of complex aerostructures including aircraft and rocket components, engine nacelle systems, thrust reversers and advanced composite products, we apply the latest digital technologies and automation in composite design and manufacturing that are second to none. At ST Engineering MRAS, we are also rapidly augmenting our maintenance, repair and overhaul (MRO) capabilities leveraging the company's expanded aircraft nacelle portfolio as well as it's materials and processing expertise. What YOU will do * Composite Part Design and Manufacturing * Lead the design and development of composite parts for technology demonstrators. * Develop, refine and industrialize new composite manufacturing processes to maximize component properties, reduce energy use and improve yield. * Evaluate tooling methodologies for rapid prototyping. * Ensure new material and/or process compliance with internal specifications and industry standards. * Provide recommendations for material or process adjustments based on performance deviations and end-use requirements. * Leadership & Project Management * Lead R&D projects, ensuring proper documentation and reporting. * Manage vendors, suppliers and external technology partners. * Support team initiatives and resource planning. What YOU must bring to Succeed * Minimum of Bachelor's degree in Mechanical, Materials, Manufacturing, Aerospace Engineering, or related field * 5+ years experience in manufacturing or a related engineering field * Proficiency in CAD modelling (E.g. Solidworks, NX, CATIA, or equivalent) and familiarity with mechanical testing * Experience in tooling fabrication processes * Familiarity with composite fabrication techniques * Desire to work hands-on in lab and pilot manufacturing environments * This position involves access to export-controlled technology which requires U.S. Person status or government authorization. A 'U.S. Person,' as defined by 22 C.F.R. §120.62, includes U.S. citizens, U.S. nationals, individuals lawfully admitted for permanent residence (green card holders), and individuals granted asylum or refugee status in the United States. To be considered for this position, you must either be a U.S. Person or fall within a legally recognized export control exception or authorization. If hired, you will be required to provide valid proof of such status. Desired Characteristics Background in rapid prototyping and R&D environments * Familiarity with Python, MATLAB, or other automation tools * Strong analytical and problem-solving abilities * Hands-on mindset and eagerness to experiment * Effective communicator across engineering, manufacturing and sourcing teams * Comfortable working independently in a fast-paced, ambiguous environment * Creative, adaptable and proactive in finding solutions At ST Engineering, we offer great rewards, competitive pay, career advancement and growth opportunities. Estimate salary range for this role: $92,000 to $138,100 per year. ST Engineering considers several factors with extending job offers, including but not limited to candidates' key skills, relevant work experience, education/training/certification, job level, and work location. Base salary is only one component of our competitive Total Rewards package. ST Engineering - MRAS Benefits: As a full-time employee of ST Engineering- MRAS, you are eligible for our benefits package including: * Medical, Dental, and Vision coverage starting from start date * Health Flexible Spending Accounts * Free Onsite Gym with weekly fitness classes * Immediate 401k vesting * Educational Assistance * Life Insurance * Paid Time off (Permissive for exempt staff) Employment Notice: Background and Drug Screening Requirements As part of our commitment to maintaining a safe and secure workplace, successful completion of a background check and drug screening is a mandatory condition for employment. All offers of employment are contingent upon satisfactory results from these screenings. It takes diverse talent to solve real-world problems. ST Engineering is deeply committed to building a workplace community where inclusion is valued, and everyone feels welcomed. We're proud to consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, family status, marital status, sexual orientation, national origin, disability, age, or veteran status, or any other legally protected grounds. So, bring us your personal experience, your perspectives, and your background. It's through our differences that innovative changes are made. ST Engineering is committed to providing reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please contact our Talent Strategies team at ************, or by email at ***********************. Nearest Major Market: Baltimore Apply now "

Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team's recent Llama 2. We are looking for strong engineers who have a background in generative AI and NLP, with experience in areas like language model evaluation; data processing for pre-training and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. **Required Skills:** Research Engineer, Language - Generative AI Responsibilities: 1. Design methods, tools, and infrastructure to push forward the state of the art in large language models 2. Define research goals informed by practical engineering concerns 3. Contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results 4. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) 5. Work with a large and globally distributed team 6. Contribute to publications and open-sourcing efforts **Minimum Qualifications:** Minimum Qualifications: 7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8. Research experience in machine learning, deep learning, and/or natural language processing 9. Experience with developing machine learning models at scale from inception to business impact 10. Programming experience in Python and hands-on experience with frameworks such as PyTorch 11. Exposure to architectural patterns of large scale software applications **Preferred Qualifications:** Preferred Qualifications: 12. A PhD in AI, computer science, data science, or related technical fields. 13. Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 14. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). 15. Direct experience in generative AI and LLM research. **Public Compensation:** $88.46/hour to $257,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Job Description The R&D Technician I performs a wide variety of tasks in support of the Global Engineering team's technology and innovation initiatives under the direction of the R&D lab lead. The role works in a team environment to support the operation and maintenance of all aspects of the R&D Lab including the test facility, equipment, tools and instrumentation. Responsible for safely assembling and modifying evaporative heat transfer equipment and components under the direction of R&D Lab Lead. Conducts all aspects of the evaporative thermal test process. PRINCIPAL ACCOUNTABILITIES Piping and instrumentation of evaporative heat transfer equipment for thermal, sound and vibration testing Installation and monitoring of sensors and various measurement devices associated with product tests Generation of accurate and detailed test reports to communicate test results to various internal customers Assist with the preventive maintenance and upkeep of the R&D laboratory facilities and equipment Safely assemble and disassemble evaporative heat transfer equipment and components Demonstrate thermal testing concepts and develop the essential mechanical, electrical and computer skills necessary for successful completion of Global Engineering test projects NATURE AND SCOPE The R&D Tech I reports to the R&D Lab Supervisor. This role interfaces with multiple engineering teams and the production environment. KNOWLEDGE & SKILLS High School Diploma or GED required. Technical trade schools highly desired. 2 years+ of experience in the mechanical, electrical, or plumbing trades preferred Demonstrated efficiency in use of hand tools, power tools, powered lift trucks and platform scissor-lifts preferred Knowledge of electrical and mechanical concepts Good written and oral communication skills; strong team player Good computer skills with working knowledge of Microsoft products and data collection spreadsheets Self Directed and ability to work with minimal supervision. WORKING CONDITIONS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to stand and walk up to 80% of the time. Frequent use of hands to perform mechanical tasks including turning, torquing, lifting, pushing, pulling is required. Working conditions include inside a lab area and occasionally outside exposed to weather. Ability to work on ladders and lifts is required. This position requires occasional lifting of up to 50 lbs. to shoulder height. Weekend and shift work may be necessary depending upon workload Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) BAC Hiring Compensation Range $21.75-$32.63 BAC offers a comprehensive benefits package to include medical, dental, vision, paid time off, 401k, employee stock ownership plan, and more. Please see additional details on the BAC website at************************* BAC Employees are eligible to participate in an annual bonus incentive program.