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Spectra Tech is urgently seeking a Software Developer for Schenectady, NY. Job Description The Core Analysis Process System (CAPS) Project is looking to hire a software developer with a passion for developing and implementing complex software solutions for scientific and engineering problems on high performance supercomputing systems. The project works directly with our engineers to provide common software engineering solutions for the reactor design community, applicable to all naval nuclear core designs. The project is focused on the ability to provide robust, user friendly, automated tools to evaluate thermal hydraulic and reactor performance design conditions. Depending on the background of the individual, near-term work assignments may include designing, developing, testing, verifying, and maintaining engineering software or porting engineering software to modern computing architectures. Work will be largely focused on problem solving; software systems architecture, scientific programming; and requirements gathering across application developers, engineering users, and system administrator groups. Particular application areas include nuclear reactor physics, reactor thermal performance and casualty analysis, and data science. Required Knowledge, Skills, and Abilities BS degree in engineering or Bachelor's degree in a science related field from an accredited college or university and a minimum of four years of relevant experience; and Strong programming skills with compiled (e.g., Java, C, C++ or Fortran) and/or interpreted (e.g., Python) scientific computing languages Desired Knowledge, Skills, and Abilities Demonstrated experience with all aspects of software architecture (design, implementation, testing, maintenance, configuration management) • Experience with client-server software systems used across multiple operating environments (e.g. Windows, Linux), • Experience with Java Swing, • Experience with Graphical User Interface, • Parallel programming and running parallel jobs on supercomputing systems, • Experience functioning within an agile development methodology, • Ability to work effectively across multiple projects simultaneously, • Demonstrated ability and passion for developing scientific software, • Capacity to work independently, as well as within interdisciplinary teams with minimal supervision

JOB SUMMARY: We are seeking a dynamic Technical Sales Associate to join our Sales & Marketing team. In this hybrid technical and business role, you will bridge the gap between advanced AI solutions and the clinical environments where they make the biggest impact. You will work closely with the Director of Business Development throughout the sales cycle, helping to qualify leads, conduct product demonstrations, and address customer technical questions to secure new business. This role will also be required to be engaging clients and collaborating with our software development team to ensure our products meet market needs. JOB ACCOUNTABILITIES: • Collaborate with the Director of Business Development to create and implement effective sales and marketing strategies., • Assist in all stages of the sales process, from initial discovery and needs analysis to solution design and post-sale technical support hand-off., • Act as a technical resource for prospect and customer meetings for in-depth technical questions about our AI models, APIs, integrations, and deployment options., • Deliver engaging product demonstrations and training sessions—both online and in person—to prospective and existing clients., • Develop deep expertise in Argus AI products from both a technical and sales perspective., • Act as a liaison between Sales, Software Development teams, and Marketing teams to communicate customer feedback and technical requirements., • Travel domestically and internationally to support business development, sales, and customer engagement. SUPERVISORY RESPONSIBILITY: This position has no immediate supervisory responsibilities. WORK ENVIRONMENT & PHYSICAL DEMANDS: This job operates in an office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, scanners, electronic filling of information and fax machines. The physical demands to successfully perform the essential functions of this job are as follows: • While performing the duties of this job, the employee is regularly required to, stand, sit; talk, hear, and use hands and fingers to operate a computer and telephone keyboard reach, stoop kneel to occasionally install study-related computer equipment., • The employee is occasionally required to climb or balance and crouch or crawl., • The employee must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds., • Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. POSITION TYPE/ EXPECTED HOURS OF WORK: This is a Full-Time Exempt position. Typical workdays are Monday – Friday and typical work hours are 8:30 am – 5:00pm EDT. Possibility to work before or after typical hours as needed to meet study timelines and goals. Infrequent but possible weekend work as needed. TRAVEL: Ability to travel around 50% of the year, domestic & international - As needed to the Schenectady NY headquarters, to visit existing customers, prospects, study partners, and attend trade shows as assigned. JOB QUALIFICATIONS: • Option 1: Master’s degree in Artificial Intelligence, Machine Learning, Data Science, Computer Science (AI specialization), or Biomedical Informatics., • Option 2: Bachelor’s degree in Statistics, Mathematics, Computer Science, or Engineering PLUS an MBA in Marketing or Business Development., • Strong understanding of machine learning concepts, AI models, and data science workflows., • Strong technical aptitude, proficiency with cloud platforms like Oracle, AWS/Azure, programming languages like Python/JavaScript, databases, APIs, and etc., • Strong presentation and public speaking skills., • Exceptional verbal and written communication skills with the ability to explain complex technical and AI concepts to both technical and non-technical audiences, and interpersonal skills., • Knowledge of healthcare IT systems, clinical workflows, and medical terminology., • Familiarity with CRM systems., • Certifications in AI for healthcare or sales/marketing are an asset. Pay Range: $70,000-$85,000 based on experience OTHER DUTIES: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. About Us EndoSoft is a software development company that was founded in the late 90’s. EndoSoft has recently launched an artificial intelligence platform, the Argus AI Ecosystem, and it is at the forefront of AI-powered clinical solutions. Argus AI is transforming how healthcare providers deliver care by providing time saving tools in the Electronic Health Record (EHR) space. We combine cutting-edge artificial intelligence with deep clinical insight to enhance workflow efficiency, streamline clinical documentation, and improve patient outcomes. Why Join EndoSoft? • Be part of a pioneering team shaping the future of AI in healthcare., • Work on groundbreaking projects that have a real-world clinical impact., • Opportunities for professional growth, travel, and cross-functional collaboration., • Competitive salary and benefits package.

Preferred Skills • Development experience with Python and other software languages • Experience and ability to mentor others on maintaining OpenShift Kubernetes clusters, including installation, troubleshooting, upgrades, security operations and performance tuning.

Lead AI Engineer (GenAI Platform Services) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI 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 1-800-304-9102 or via email at . 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).

Senior Lead AI Engineer (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 1-800-304-9102 or via email at . 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).

Golden Solution Authoring:** Develop "Gold Standard" Python solutions for each subproblem and create corresponding unit tests to verify accuracy - Quality Control and Review: Review peer prompts, golden solutions, and unit tests for accuracy, comprehensiveness, and difficulty. Expert Python Prof

Job DescriptionDrive Cutting-Edge Cybersecurity Research at Kitware. Kitware is seeking a visionary Technical Leader, Advanced Cybersecurity Research to lead innovative, high-impact projects addressing today’s most complex security challenges. This is a unique opportunity to build and lead a new cybersecurity research team, collaborating with DARPA and other government agencies to develop next-generation security solutions. In this role, you will leverage Kitware’s strengths in AI, high-performance computing (HPC), large-scale data analysis, and software process to design and prototype advanced cybersecurity technologies. As the creators of CMake—the de facto standard build system for C++—Kitware offers an excellent environment for developing scalable, secure, and high-performance software.In This Position You Will: • Lead & Build: Form and lead a high-impact cybersecurity research team, collaborating with Kitware’s experts in AI, HPC, and software engineering., • Secure Funding: Lead grant proposals and industry partnerships to expand Kitware’s cybersecurity portfolio., • Innovate & Prototype: Design and develop solutions for malware analysis, reverse engineering, AI-driven security, and secure systems architecture., • Collaborate & Integrate: Partner with DARPA, government agencies, and industry collaborators to drive real-world security impact., • Share Knowledge: Publish in top-tier security conferences and journals, elevating Kitware’s influence in the field.Required Qualifications:, • Ph.D. or M.S. in Cybersecurity, Computer Science, or related field with a minimum of 6 years of relevant experience., • Expertise in AI/ML for security, cryptography, vulnerability research, or formal methods., • Proficiency in C++, Python, C, or Rust, with experience in secure software development and build systems (CMake preferred)., • Strong understanding of operating systems, network protocols, and security architectures., • Strong publication history. Candidates should include a detailed list of publications as part of their resume/CV., • Experience collaborating successfully with others and thriving in a fast-paced and dynamic work environment., • Experience leading federal and/or commercial business development activities and winning R&D funding to support a team of 3-6 researchers and developers., • Excellent project management skills with demonstrable efforts leading and delivering complex research projects on time, within budget, and with a high level of customer satisfaction., • Due to contractual restrictions, only U.S. citizens are eligible for consideration for this position., • If not already cleared TS/SCI, willingness and ability to apply for, use, and maintain a TS/SCI security clearance.Why Join Kitware?, • Innovative Research: Lead groundbreaking projects with real-world impact., • Software Expertise: Leverage Kitware’s existing capabilities to create scalable, secure solutions., • Career Growth: Access professional development, conference travel, and research funding.

Job Description Navarro Research and Engineering is recruiting a System Administratorin Niskayuna, NY. An active DOE Q Clearance or DOD equivalent is required to be considered for this position. Navarro Research & Engineering is an award-winning federal contractor dedicated to partnering with clients to advance clean energy and deliver effective solutions for complex challenges in the nuclear and environmental fields. Joining Navarro means being a part of an exceptional team committed to quality and safety while also looking for innovative strategies to create value for the client’s success. Headquartered in Oak Ridge, Tennessee, Navarro has active programs in place across the nation for DOE/NNSA, NASA, and the Department of Defense. Naval Nuclear Laboratory’s (NNL) Reactor Technology (RT) team is seeking a System Administrator to help ensure the infrastructure needed for developers and engineers to accomplish their work remains current and available. All work efforts include a focus on working with a passionate, dedicated team to maintain and develop products and services in support of high quality and secure software development and engineering work. New team members will have opportunities to help pave the future of high velocity, high quality, secured software life cycles for technologies critical to delivering capabilities to the US NAVY. Requirements • RHEL (or CentOS) familiarity • Basic Linux shell commands • Bash, PowerShell, Python scripting• Basic networking (TCP-IP, IPV4, IPV6, DNS, etc.) • Basic Connectivity (SSH, wget, curl) • Basic understanding of application patching/upgrading • Git version control and familiarity with pull requests/reviews • GitHub actions/workflows and work tracking/issues • Familiarity with Kubernetes (installation, configuration and maintaining thereof) Desired Knowledge, Skills, and Abilities • Docker/Podman CLI and basic image operations – pull, tag, build, push, • Basic understanding of container images and image registries; i.e. Redhat.io, Platform One/Iron Bank, Docker.io, etc. •OpenShift administrator/developer console, • OpenShift oc and oc mirror CLI tools • Familiarity with GitOps and Kustomize using ArgoCD, • Familiarity with Quay Container registry, Artifactory package management system, • Image CVE remediation/updates, • Mattermost, Jenkins,Jira/Bitbucket, Keycloak, PostgreSQL, Tekton,, • Redhat Advanced Cluster Security or generic container/base image scanning and analysis, • Microsoft Azure console and resource management(accounts, storage, audit alerts, budget/cost analysis) • Window, • Package managementChocolatey Due to the nature of the government contract requirements and/or clearances requirements, US citizenship is required. Navarro is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, religion, color, national origin, age, disability, veteran’s status or any classification protected by applicable state or local law. EEO Employer/Vet/Disabled Compensation- $100,000-$150,000 Benefits • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation & Public Holidays), • Short Term & Long Term Disability

Job Description Senior Data Integration & ETL Engineer Location : One Day in a week on site Albany NY Duration : Long-term Contract Client : Government Agency Start Date : ASAP About the Role We are seeking a highly skilled Senior Data Integration & ETL Engineer to support a large-scale data analytics and data interchange initiative for a government client. The ideal consultant will have deep experience building and maintaining complex data pipelines, integrating diverse data sources, and supporting analytics environments. This role requires a strong foundation in ETL development, data modeling, SQL, and data interchange systems. Candidates must meet all minimum qualifications to be considered. Minimum Qualifications (Required) Candidates must meet all of the following: ✔ M1 — Education Experience developing and maintaining data interchange systems involving: • Flat files, • Direct database connections, • XML transactions Hands-on experience with ETL tools such as: • Informatica, Talend, SSIS, DataStage, Pentaho Experience designing: • Logical and physical data models, • Dimensional models (star/snowflake) Experience developing ETL pipelines specifically to support: • Data analytics, • BI environments Strong SQL experience including: • Complex joins, • Stored procedures, • Query optimization Preferred Qualifications (Nice to Have) P1 — Python scripting experience P2 — Tableau Server Administration (1+ year) P3 — Customer-facing experience in data validation, troubleshooting, or requirements gathering P4 — Statistics coursework or 1+ year using statistics professionally P5 — SQL or PL/SQL database development P6 — ETL pipelines supporting Tableau analytics P7 — ETL experience supporting a government data analytics program Key Responsibilities • Develop and maintain ETL pipelines to support analytics and reporting, • Integrate data from diverse sources including flat files, XML, and direct DB connections, • Design and optimize data models for analytics, • Collaborate with business users on data validation and requirements, • Support data quality, data governance, and troubleshooting efforts, • Work with BI teams to ensure data readiness for dashboards and reporting Required Skills • ETL development, • SQL (advanced), • Data modeling, • Data integration, • XML, flat files, relational databases, • Analytics-focused data engineering

Job DescriptionKitware is seeking an accomplished and visionary scientist or engineer to spearhead the creation of a new team dedicated to AI-driven scientific discovery. This is a rare opportunity to shape and lead a cutting-edge research group at the intersection of artificial intelligence, high-performance computing (HPC), and large-scale scientific experimentation. In this role, you will leverage Kitware’s deep expertise in computer vision, AI, HPC, medical imaging, and scientific software development to drive innovative research programs. You will be responsible for securing funding from government agencies and private sector partners to advance AI-enhanced methodologies that accelerate scientific breakthroughs.In This Position You Will: • Team Formation & Leadership: Build and lead a high-impact, interdisciplinary team of scientists and engineers focused on AI-driven scientific discovery., • Research & Development: Design and implement novel AI-based approaches to solve complex scientific challenges, with applications in materials science, energy technologies, large-scale experimental facilities, and HPC-based simulations., • Collaboration & Integration: Collaborate with Kitware’s existing experts in C++, Python, CMake, VTK, ParaView, and Trame to develop state-of-the-art computational modeling, data analysis, and visualization workflows., • Funding & Partnerships: Secure research funding through grant proposals and industry partnerships, driving the team’s growth and expanding Kitware’s impact in AI-enabled scientific discovery.Required Qualifications:, • Ph.D. in a relevant field (e.g., computer science, physics, engineering, applied mathematics) with a strong track record of AI-driven scientific research., • Proven ability to obtain research funding and manage large-scale, grant-funded projects., • Experience leading or collaborating with interdisciplinary teams., • Familiarity with HPC environments and large-scale simulations., • Excellent communication and leadership skills, with the ability to build partnerships across academia, government, and industry., • Due to contractual restrictions, only candidates who are U.S. persons (citizens, permanent residents, asylees, or refugees) will be considered for this position.Why Join Kitware:, • Innovative Environment: Work with a team of experts committed to open science and cutting-edge technological advancement., • Impactful Research: Lead projects with the potential to transform scientific discovery through AI-driven methods.

Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI 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 1-800-304-9102 or via email at . 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).

Job DescriptionTeam Description: Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI), spanning computer vision (CV), natural language processing (NLP), vision-language models (VLMs), and other generative AI technologies. Our solutions embracing AI add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We have developed a deep understanding in extracting useful, actionable information from multiple data sources like images, video, metadata, audio, and text, and we recognize the need for robust, affordable solutions. We seek to advance AI, CV, and other related fields through research and development and collaborative projects that can contribute to our open source software platforms, such as XAITK, NRTK, and GeoWATCH. About the Projects: Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware’s work involves applying state-of-the-art artificial intelligence approaches to dynamic, real-world problems. We consider the work that we do on our government contracts as one of the ways that we give back to the community. We partner with premier government R&D agencies such as DARPA, IARPA, AFRL, Army C5ISR, NOAA, and other branches of the US Government on a range of efforts, including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities and to provide effective, flexible, and high-quality technical solutions.In This Position You Will: • Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision, • Perform rapid prototyping and enhanced development to be integrated into operational systems, • Contribute your strong programming ability and experience to develop robust solutions for real-world problems, • Validate, optimize, and deploy advanced exploitation algorithms, • Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability and robustnessRequired Qualifications:, • Bachelor's degree or Master's degree in Computer Science, Electrical and Computer Engineering, or related field, • Proficiency in Python, • Experience with deep learning libraries (PyTorch, TensorFlow, etc.), • Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting, training, validation, testing, and deployment, • Machine learning experience using visual data, • Understanding of a variety of machine learning tasks, e.g. Object Detection, Segmentation, Re-Identification, Tracking, Pose, Super Resolution, Natural Language Processing, • A high level of comfort with academic literature and the ability to adapt research products to solve real-world problems, • Due to contractual requirements, only US Citizens will be considered for this position, • If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance, • Some travel is required, typically 5-25%, • Full-time on-site work at the Kitware OfficePreferred Qualifications:, • Active SECRET, TS, or TS/SCI security clearance, • Experience curating quality, real-world datasets for training deep learning models

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI 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 1-800-304-9102 or via email at . 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).

Sr. Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 1-800-304-9102 or via email at . 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).

Senior Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI 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 1-800-304-9102 or via email at . 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).

Use programming languages like Python, Go, Scala or Java Basic Qualifications: Bachelor’s Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python,

Senior Machine Learning Engineer (KServe Kubernetes, building Kubernetes Clusters, PyTorch, TensorFlow) 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 deploy 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. McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer New York, NY: $176,500 - $201,400 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 1-800-304-9102 or via email at . 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).

Job DescriptionKitware is seeking an accomplished and visionary scientist or engineer to spearhead the creation of a new team dedicated to AI-driven scientific discovery. This is a rare opportunity to shape and lead a cutting-edge research group at the intersection of artificial intelligence, high-performance computing (HPC), and large-scale scientific experimentation. In this role, you will leverage Kitware’s deep expertise in computer vision, AI, HPC, medical imaging, and scientific software development to drive innovative research programs. You will be responsible for securing funding from government agencies and private sector partners to advance AI-enhanced methodologies that accelerate scientific breakthroughs.In This Position You Will: • Team Formation & Leadership: Build and lead a high-impact, interdisciplinary team of scientists and engineers focused on AI-driven scientific discovery., • Research & Development: Design and implement novel AI-based approaches to solve complex scientific challenges, with applications in materials science, energy technologies, large-scale experimental facilities, and HPC-based simulations., • Collaboration & Integration: Collaborate with Kitware’s existing experts in C++, Python, CMake, VTK, ParaView, and Trame to develop state-of-the-art computational modeling, data analysis, and visualization workflows., • Funding & Partnerships: Secure research funding through grant proposals and industry partnerships, driving the team’s growth and expanding Kitware’s impact in AI-enabled scientific discovery.Required Qualifications:, • Ph.D. in a relevant field (e.g., computer science, physics, engineering, applied mathematics) with a strong track record of AI-driven scientific research., • Proven ability to obtain research funding and manage large-scale, grant-funded projects., • A demonstrated track record of leading federal and/or commercial business development activities and securing R&D funding for a team of 6-12 people., • Experience leading or collaborating with interdisciplinary teams., • Familiarity with HPC environments and large-scale simulations., • Excellent communication and leadership skills, with the ability to build partnerships across academia, government, and industry., • Due to contractual restrictions, only candidates who are U.S. persons (citizens, permanent residents, asylees, or refugees) will be considered for this position.Why Join Kitware:, • Innovative Environment: Work with a team of experts committed to open science and cutting-edge technological advancement., • Impactful Research: Lead projects with the potential to transform scientific discovery through AI-driven methods.

Job Description Navarro Research and Engineering is recruiting a Software Developer in Niskayuna, NY. A DOE L Clearance (or DOD equivalent) is required to be considered for this position. Navarro Research & Engineering is an award-winning federal contractor dedicated to partnering with clients to advance clean energy and deliver effective solutions for complex challenges in the nuclear and environmental fields. Joining Navarro means being a part of an exceptional team committed to quality and safety while also looking for innovative strategies to create value for the client’s success. Headquartered in Oak Ridge, Tennessee, Navarro has active programs in place across the nation for DOE/NNSA, NASA, and the Department of Defense. The Core Analysis Process System (CAPS) Project is looking to hire a software developer with a passion for developing and implementing complex software solutions for scientific and engineering problems on high performance supercomputing systems. The project works directly with our engineers to provide common software engineering solutions for the reactor design community, applicable to all naval nuclear core designs. The project is focused on the ability to provide robust, user friendly, automated tools to evaluate thermal hydraulic and reactor performance design conditions. Depending on the background of the individual, near-term work assignments may include designing, developing, testing, verifying, and maintaining engineering software or porting engineering software to modern computing architectures. Work will be largely focused on problem solving; software systems architecture, scientific programming; and requirements gathering across application developers, engineering users, and system administrator groups. Particular application areas include nuclear reactor physics, reactor thermal performance and casualty analysis, and data science. Desired Knowledge, Skills, and Abilities • Demonstrated experience with all aspects of software architecture (design, implementation, testing, maintenance, configuration management) • Experience with client-server software systems used across multiple operating environments (e.g. Windows, Linux)• Experience with Java Swing • Experience with Graphical User Interface • Parallel programming and running parallel jobs on supercomputing systems • Experience functioning within an agile development methodology • Ability to work effectively across multiple projects simultaneously • Demonstrated ability and passion for developing scientific software • Capacity to work independently, as well as within interdisciplinary teams with minimal supervision Requirements • BS degree in engineering or Bachelor's degree in a science related field from an accredited college or university, • Minimum of four years of relevant experience, • Strong programming skills with compiled (e.g., Java, C, C++ or Fortran) and/or interpreted (e.g., Python) scientific computing languages, • A DOE L Clearance (or DOD equivalent) is required to be considered for this position. Due to the nature of the government contract requirements and/or clearances requirements, US citizenship is required. Navarro is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, religion, color, national origin, age, disability, veteran’s status, or any classification protected by applicable state or local law. EEO Employer/Vet/Disabled Benefits • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation & Public Holidays), • Short Term & Long Term Disability

Job DescriptionTeam Description:Kitware’s Open Source Software Technology Program (OSTP) seeks to recruit hard-working, talented, and curious new graduates with Computer Science and Computer Engineering bachelor’s degrees to work on exciting open-source projects at Kitware while earning a master’s degree in Computer Science. The OSTP is a three-year program in which members will work on a variety of projects, learn open-source processes, and build technical leadership skills while completing the master’s degree. About the Projects:The program allows bachelor-level graduates to gain valuable real-world expertise in open-source software development and earn a master’s degree while earning a competitive salary. Members of the OSTP will learn to develop innovative open-source software platforms with global impact in the areas of computer vision, scientific computing, data and analytics, medical computing, and software solutions. The OSTP requires both work and study over the three-year program period; program members must work 32 hours per week onsite at our Clifton Park, NY office during college semesters and approximately 40 hours per week on-site during summers. Subject to our tuition reimbursement payback requirements, Kitware will reimburse 100% of educational expenses for the master’s degree (including tuition, books, equipment, fees, and supplies). This position is only available at our Clifton Park, NY location. Employment Visa sponsorship is not offered for this position.In This Position You Will: • Gain a deep understanding of what it takes to create and maintain powerful open-source software platforms, • Learn the technical and business knowledge to become leaders at Kitware, • Be taught the fundamentals of project leadership skills and learn how to acquire funding to develop open source platforms, • Gain a Master’s degreeRequired Qualifications:, • Completing a bachelor’s degree in computer science or computer engineering in Spring 2026. (December 2025 graduates will also be considered.), • Demonstrable programming experience from undergraduate projects or internships, • Programming experience in C++ and Python, • Strong communication skills, • Due to contractual requirements, this position requires US Citizenship and a willingness and ability to obtain and maintain a security clearance, • Full-time on-site work at Kitware’s office in Clifton Park, NYPreferred Qualifications:

Job Description Job Opening: Software Developer (Contract) Engineering data centers with precision and expertise. At Strategic Mission Critical, we are more than just engineers; we are experts focusing solely on mission critical facilities. Our seasoned leadership team brings together decades of experience, equipping data center providers worldwide with robust, reliable solutions that keep pace with the evolving digital landscape. With a rapidly expanding market and the AI adoption driving huge growth in the data center market, SMC is at the forefront of industry growth. We offer not just jobs, but career paths that reward innovation and expertise. If you want to work alongside highly skilled professionals with years of mission critical experience, then we want you to be part of our team; a team that works on major projects for top-tier data center providers. Your work will help ensure the resilience and efficiency of data infrastructure that millions depend on. SMC is actively looking for a Contract Software Developer to help us refine, expand, and maintain internally-developed software platforms for business operations and support our continued growth. The ideal candidate is a self-starter, comfortable working autonomously and has excellent communication skills including collaborative problem solving. Familiarity with consulting engineering or other project / resource / deliverable driven work is a big plus! This is a 1099 Contract Role with the candidate expected to set their own hours, provide their own computer hardware, invoice regularly for hours worked, and take responsibility for completing tasks and delivering results on a regular basis. You will collaborate with our internal engineering team to help define requirements, solicit UI/UX feedback, roll out new features, and develop documentation for both use and maintenance of associated software platforms. Required Skills • Python and TypeScript., • Django and Django REST Framework., • SQL with PostgreSQL (query tuning, indexing, transactions, data modeling)., • Production experience building and consuming REST APIs., • React development experience (hooks, state management, component architecture)., • Experience with background processing (Celery, Redis)., • Experience with testing frameworks and CI workflows., • Experience with authentication/security patterns (JWT, CORS, CSRF, RBAC)., • Experience with monitoring/error tracking tools (e.g., Sentry)., • Experience with Playwright, Vitest, or similar modern testing tools.

Preferred Skills Development experience with C#, Java, Python, Go or other programming languages Working knowledge of software engineering practices and software lifecycle models Experience in containerized deployments using Docker or Kubernetes Experience in developing automated unit tests Familiar

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DataAnnotation is committed to creating high-quality AI.Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule.This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part

DataAnnotation is committed to creating high-quality AI.Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule.This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part

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DataAnnotation is committed to creating high-quality AI.Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule.This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part

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