Applied Researcher 5 At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. What You'll Do: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies; Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more, to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, High Performance Computing, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on Generative AI (LLMs, Diffusion models and related approaches) or Masters with 5 years of industrial research experience in deep learning based techniques Multiple publications at top-tier venues (e.g., KDD, SIGIR, RecSys, NeurIPS, ICLR) on topics related to generative recommendation, retrieval-augmented generation (RAG), LLM-based agents, or large-scale semantic search Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Experience training foundation models from scratch or significantly adapting large-scale models (10B+ parameters) for complex financial data, transactional sequences, or user behavior graphs Track record of scaling graph models to greater than 50M nodes and operating within high-velocity, real-time streaming data environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) Multiple years of experience or publications focused on model sparsification, quantization, training parallelism/partitioning design, or gradient checkpointing for 10B+ parameter models Hands-on experience with large-scale orchestration systems (Kubernetes, KubeRay) and contributions to common open-source ML frameworks (PyTorch-Geometric, DGL, HuggingFace) Experience building and deploying deep learning-based recommender systems at scale (100M+ users or items), ideally within travel, personalization, or e-commerce contexts Finetuning PhD focused on topics related to aligning Large Language Models for recommendation and search tasks via Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), or Direct Preference Optimization (DPO) Experience deploying a fine-tuned large language model optimized for serving performance Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation 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: $262,500 - $299,600 for Applied Researcher 5 McLean, VA: $262,500 - $299,600 for Applied Researcher 5 New York, NY: $286,400 - $326,800 for Applied Researcher 5 San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5 San Jose, CA: $286,400 - $326,800 for Applied Researcher 5 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 . click apply for full job details
11/13/2026
Full time
Applied Researcher 5 At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. What You'll Do: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies; Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more, to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, High Performance Computing, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on Generative AI (LLMs, Diffusion models and related approaches) or Masters with 5 years of industrial research experience in deep learning based techniques Multiple publications at top-tier venues (e.g., KDD, SIGIR, RecSys, NeurIPS, ICLR) on topics related to generative recommendation, retrieval-augmented generation (RAG), LLM-based agents, or large-scale semantic search Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Experience training foundation models from scratch or significantly adapting large-scale models (10B+ parameters) for complex financial data, transactional sequences, or user behavior graphs Track record of scaling graph models to greater than 50M nodes and operating within high-velocity, real-time streaming data environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) Multiple years of experience or publications focused on model sparsification, quantization, training parallelism/partitioning design, or gradient checkpointing for 10B+ parameter models Hands-on experience with large-scale orchestration systems (Kubernetes, KubeRay) and contributions to common open-source ML frameworks (PyTorch-Geometric, DGL, HuggingFace) Experience building and deploying deep learning-based recommender systems at scale (100M+ users or items), ideally within travel, personalization, or e-commerce contexts Finetuning PhD focused on topics related to aligning Large Language Models for recommendation and search tasks via Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), or Direct Preference Optimization (DPO) Experience deploying a fine-tuned large language model optimized for serving performance Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation 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: $262,500 - $299,600 for Applied Researcher 5 McLean, VA: $262,500 - $299,600 for Applied Researcher 5 New York, NY: $286,400 - $326,800 for Applied Researcher 5 San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5 San Jose, CA: $286,400 - $326,800 for Applied Researcher 5 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 . click apply for full job details
Applied Researcher 5 At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. What You'll Do: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies; Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more, to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, High Performance Computing, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on Generative AI (LLMs, Diffusion models and related approaches) or Masters with 5 years of industrial research experience in deep learning based techniques Multiple publications at top-tier venues (e.g., KDD, SIGIR, RecSys, NeurIPS, ICLR) on topics related to generative recommendation, retrieval-augmented generation (RAG), LLM-based agents, or large-scale semantic search Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Experience training foundation models from scratch or significantly adapting large-scale models (10B+ parameters) for complex financial data, transactional sequences, or user behavior graphs Track record of scaling graph models to greater than 50M nodes and operating within high-velocity, real-time streaming data environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) Multiple years of experience or publications focused on model sparsification, quantization, training parallelism/partitioning design, or gradient checkpointing for 10B+ parameter models Hands-on experience with large-scale orchestration systems (Kubernetes, KubeRay) and contributions to common open-source ML frameworks (PyTorch-Geometric, DGL, HuggingFace) Experience building and deploying deep learning-based recommender systems at scale (100M+ users or items), ideally within travel, personalization, or e-commerce contexts Finetuning PhD focused on topics related to aligning Large Language Models for recommendation and search tasks via Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), or Direct Preference Optimization (DPO) Experience deploying a fine-tuned large language model optimized for serving performance Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation 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: $262,500 - $299,600 for Applied Researcher 5 McLean, VA: $262,500 - $299,600 for Applied Researcher 5 New York, NY: $286,400 - $326,800 for Applied Researcher 5 San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5 San Jose, CA: $286,400 - $326,800 for Applied Researcher 5 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 . click apply for full job details
11/13/2026
Full time
Applied Researcher 5 At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. What You'll Do: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies; Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more, to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, High Performance Computing, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on Generative AI (LLMs, Diffusion models and related approaches) or Masters with 5 years of industrial research experience in deep learning based techniques Multiple publications at top-tier venues (e.g., KDD, SIGIR, RecSys, NeurIPS, ICLR) on topics related to generative recommendation, retrieval-augmented generation (RAG), LLM-based agents, or large-scale semantic search Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Experience training foundation models from scratch or significantly adapting large-scale models (10B+ parameters) for complex financial data, transactional sequences, or user behavior graphs Track record of scaling graph models to greater than 50M nodes and operating within high-velocity, real-time streaming data environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) Multiple years of experience or publications focused on model sparsification, quantization, training parallelism/partitioning design, or gradient checkpointing for 10B+ parameter models Hands-on experience with large-scale orchestration systems (Kubernetes, KubeRay) and contributions to common open-source ML frameworks (PyTorch-Geometric, DGL, HuggingFace) Experience building and deploying deep learning-based recommender systems at scale (100M+ users or items), ideally within travel, personalization, or e-commerce contexts Finetuning PhD focused on topics related to aligning Large Language Models for recommendation and search tasks via Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), or Direct Preference Optimization (DPO) Experience deploying a fine-tuned large language model optimized for serving performance Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation 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: $262,500 - $299,600 for Applied Researcher 5 McLean, VA: $262,500 - $299,600 for Applied Researcher 5 New York, NY: $286,400 - $326,800 for Applied Researcher 5 San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5 San Jose, CA: $286,400 - $326,800 for Applied Researcher 5 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 . click apply for full job details
Job Description Job Description Job Description: Quevera is seeking a Senior Network/Communications Engineer to join an exciting, collaborative and innovative team. A place where you are positioned for More than Just a Job. Where leadership partners with you, seek to cultivate and support career development, encouraging growth from within while striving to foster a diverse and inclusive environment that improves individual and organizational performance. Job Responsibilities: Provide technical support for targeted and focused technical studies and analyses that support the Agency's SIPRnet and NIPRnet technology strategies and implementation. Provide support to develop and mature the methodologies and processes for technology evaluation, and for technology management infrastructure operations as they relate to the SIPRnet. Provide expert and technical support to conduct technical studies, data collection, identification, analysis and evaluation of existing and future SIPRnet technologies. Participate and provide technical support in SIPRnet related pathfinders, prototypes, and pilots. Provide evaluation criteria to assess and evaluate SIPRnet initiatives during technology identification, plan, design, engineering, and implementation. The SIPRnet technologies may include managing mobile device services with sensors and software and code checking (static and dynamic code checking). The innovation technologies may include data communication between countries, big data, mobile device near field communications, and allowing users to access and retrieve information from various domains and networks. Support efforts, as directed, to provide DoD Enterprise Services, working with various DISA Directorates to ensure the broadest and most scalable enterprise capabilities are designed, implemented, secured, and operated. Support efforts to re-engineer DISA's business systems and networks to support their consolidation from individual systems across the DoD. Support the design and implementation of Enterprise Data Management (EDM) capabilities which include technologies to provide data brokering, data management, data analysis, data governance, and support for Infrastructure as a Service (IaaS) and Platform as a Service (PaaS), hosting and support environments. Support the coordination and management of day-to-day activities by working with interdisciplinary technical leads through coordinated execution of projects. Assist with documenting and managing the development of technical solutions and aligning them to the agency's strategic and operational goals. Work with employees across the agency to review and develop an understanding of the relationships and linkages across the entire organization, as well as touch points to organizations within the Agency, and identify gaps. Review, enhance, and develop processes required to close the identified gaps and facilitate the flow of necessary program management/acquisition work necessary to support the delivery of capabilities to the Warfighter. Provide support for a variety of functions to include generating reports, composing memos, transcribing notes, researching and creating presentations, developing, reviewing and editing documentation, and preparing briefings to high-level managers within the agency at large. The lead engineer will be expected to work closely with government personnel to complete these actions in a timely manner. Attend information dissemination activities and general outreach activities relating to the program office mission and functions for the purpose of making potential users aware of the capabilities of agency's initiatives and obtaining combatant command (COCOM) or other partner participation. Initiate, coordinate, and monitor technical and functional activities that may include strategic planning and coordination, program management and analysis and quality assurance, as well as configuration management, workflow management, and productivity assessments. Attend and participate in program reviews and integrated process teams, both internal and external to the agency and document participation at key events. Review documents coordination and control services to ensure all systems are properly documented in accordance with approved Department of Defense (DoD) and DISA standards and in accordance with guidance appropriate to the type of project. Minimum Requirements: Strong computing and network system knowledge, particularly networking, including a knowledge of communication protocols and familiarity with common computing security elements such as IDS/IPS systems and firewalls. Working knowledge of multiple security systems such as Palo Alto NGFW, ArcSight, FireEye, and McAfee NSM. Possess a minimum of a Secret security clearance. 10 years of experience as a network/communications engineer. Experience with working in or on the Secure Internet Protocol Router Network (SIPRNet) is preferred. Comfortable and experienced with generating reports, composing memos, transcribing notes, researching and creating presentations, developing, reviewing and editing documentation, and preparing briefings to high-level managers within the agency at large. Create, manage, and own the required program management documentations to include: Technology & Research Assessment Reports Architectural Drawings Technology Evaluation Artifacts Reports Metrics Development and Analysis Reports Network Analysis Findings and Recommendations Briefing Charts CISSP Education: Bachelor's degree in a relevant field and a minimum of 5 years' related experience. B.S. in a technical field of Computer Science, Engineering, Cyber Security or equivalent is preferred. 5 years of related progressive experience OR additional certifications OR an M.S. degree. Why Join Quevera? Award-Winning Culture Quevera was recognized as a Top Workplace in the Washington, DC/Baltimore region for 2025 , marking our fifth consecutive year receiving this distinction based on employee feedback. Outstanding Benefits We invest in our employees and their families through a highly competitive benefits package, including: 100% employer-paid medical coverage (optional plan) Competitive options for Medical, Dental and Vision insurance Employer-paid short-term and long-term disability coverage Employer-paid life insurance $5,000 annually for education, training, certifications, and professional development Career advancement through our structured iQTouch Program Up to 6% 401(k) match Additional 4% profit-sharing contribution , at company discretion At Quevera, we believe exceptional people deserve exceptional opportunities. We're more than just a workplace-we're a team of innovators, problem-solvers, and industry experts committed to delivering mission-critical solutions while fostering professional growth, collaboration, and technical excellence. Quevera is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age or any other characteristic protected by law.
11/12/2026
Full time
Job Description Job Description Job Description: Quevera is seeking a Senior Network/Communications Engineer to join an exciting, collaborative and innovative team. A place where you are positioned for More than Just a Job. Where leadership partners with you, seek to cultivate and support career development, encouraging growth from within while striving to foster a diverse and inclusive environment that improves individual and organizational performance. Job Responsibilities: Provide technical support for targeted and focused technical studies and analyses that support the Agency's SIPRnet and NIPRnet technology strategies and implementation. Provide support to develop and mature the methodologies and processes for technology evaluation, and for technology management infrastructure operations as they relate to the SIPRnet. Provide expert and technical support to conduct technical studies, data collection, identification, analysis and evaluation of existing and future SIPRnet technologies. Participate and provide technical support in SIPRnet related pathfinders, prototypes, and pilots. Provide evaluation criteria to assess and evaluate SIPRnet initiatives during technology identification, plan, design, engineering, and implementation. The SIPRnet technologies may include managing mobile device services with sensors and software and code checking (static and dynamic code checking). The innovation technologies may include data communication between countries, big data, mobile device near field communications, and allowing users to access and retrieve information from various domains and networks. Support efforts, as directed, to provide DoD Enterprise Services, working with various DISA Directorates to ensure the broadest and most scalable enterprise capabilities are designed, implemented, secured, and operated. Support efforts to re-engineer DISA's business systems and networks to support their consolidation from individual systems across the DoD. Support the design and implementation of Enterprise Data Management (EDM) capabilities which include technologies to provide data brokering, data management, data analysis, data governance, and support for Infrastructure as a Service (IaaS) and Platform as a Service (PaaS), hosting and support environments. Support the coordination and management of day-to-day activities by working with interdisciplinary technical leads through coordinated execution of projects. Assist with documenting and managing the development of technical solutions and aligning them to the agency's strategic and operational goals. Work with employees across the agency to review and develop an understanding of the relationships and linkages across the entire organization, as well as touch points to organizations within the Agency, and identify gaps. Review, enhance, and develop processes required to close the identified gaps and facilitate the flow of necessary program management/acquisition work necessary to support the delivery of capabilities to the Warfighter. Provide support for a variety of functions to include generating reports, composing memos, transcribing notes, researching and creating presentations, developing, reviewing and editing documentation, and preparing briefings to high-level managers within the agency at large. The lead engineer will be expected to work closely with government personnel to complete these actions in a timely manner. Attend information dissemination activities and general outreach activities relating to the program office mission and functions for the purpose of making potential users aware of the capabilities of agency's initiatives and obtaining combatant command (COCOM) or other partner participation. Initiate, coordinate, and monitor technical and functional activities that may include strategic planning and coordination, program management and analysis and quality assurance, as well as configuration management, workflow management, and productivity assessments. Attend and participate in program reviews and integrated process teams, both internal and external to the agency and document participation at key events. Review documents coordination and control services to ensure all systems are properly documented in accordance with approved Department of Defense (DoD) and DISA standards and in accordance with guidance appropriate to the type of project. Minimum Requirements: Strong computing and network system knowledge, particularly networking, including a knowledge of communication protocols and familiarity with common computing security elements such as IDS/IPS systems and firewalls. Working knowledge of multiple security systems such as Palo Alto NGFW, ArcSight, FireEye, and McAfee NSM. Possess a minimum of a Secret security clearance. 10 years of experience as a network/communications engineer. Experience with working in or on the Secure Internet Protocol Router Network (SIPRNet) is preferred. Comfortable and experienced with generating reports, composing memos, transcribing notes, researching and creating presentations, developing, reviewing and editing documentation, and preparing briefings to high-level managers within the agency at large. Create, manage, and own the required program management documentations to include: Technology & Research Assessment Reports Architectural Drawings Technology Evaluation Artifacts Reports Metrics Development and Analysis Reports Network Analysis Findings and Recommendations Briefing Charts CISSP Education: Bachelor's degree in a relevant field and a minimum of 5 years' related experience. B.S. in a technical field of Computer Science, Engineering, Cyber Security or equivalent is preferred. 5 years of related progressive experience OR additional certifications OR an M.S. degree. Why Join Quevera? Award-Winning Culture Quevera was recognized as a Top Workplace in the Washington, DC/Baltimore region for 2025 , marking our fifth consecutive year receiving this distinction based on employee feedback. Outstanding Benefits We invest in our employees and their families through a highly competitive benefits package, including: 100% employer-paid medical coverage (optional plan) Competitive options for Medical, Dental and Vision insurance Employer-paid short-term and long-term disability coverage Employer-paid life insurance $5,000 annually for education, training, certifications, and professional development Career advancement through our structured iQTouch Program Up to 6% 401(k) match Additional 4% profit-sharing contribution , at company discretion At Quevera, we believe exceptional people deserve exceptional opportunities. We're more than just a workplace-we're a team of innovators, problem-solvers, and industry experts committed to delivering mission-critical solutions while fostering professional growth, collaboration, and technical excellence. Quevera is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age or any other characteristic protected by law.
Job Description Job Description Location: Schriever Space Force Base, Colorado Springs, CO Clearance Required: Active DoW Secret Security Clearance Travel Required: Up to 10% of the time LaunchTech is a veteran-owned company that prides itself on delivering service before self and excellence in all we do. We are seeking dynamic professionals who embody our core values of Integrity, Commitment, and Excellence to join our growing Crew in support of our customers across the federal, state, and commercial markets. We are seeking a a highly motivated, independent, and results-oriented Mid-Level Platform System Engineer to support the Missile Defense Agency (MDA) on the Integrated Research and Development for Enterprise Solutions (IRES) contract. In this role, you will be at the forefront of leading a team in the development and implementation of innovative solutions for critical elements supporting advanced sensing capabilities. You will be instrumental in ensuring efficient, sustainable, and secure command and control of our nation's space-based defense capabilities. This is an opportunity to make a tangible difference in a mission-critical environment. If you are passionate about leveraging your technical expertise to enhance our nation's security, consider this position. What You'll Be Doing Support Innovation: Develop and design cutting-edge solutions to optimize efficiency, security, and sustainability within a team supporting Platform MDSEA frameworks. Contribute to Technical Initiatives: Conduct comprehensive studies and analyses, define detailed requirements, engineer preliminary and detailed platform architectures, and oversee system development for enterprise services, satellite ground systems, and operations centers (including supporting facilities). Contribute to all phases of the Engineering Lifecycle: Support projects from initiation through requirements management, task execution, and platform system sustainment. Support Implementation: Document designs and create comprehensive implementation and test plans for execution by sustainment personnel. Collaborate and Integrate: Direct a cohesive partnership within the team and other engineers, system administrators, cybersecurity, test teams, project managers, software developers, network engineers, and application teams to ensure seamless integration and compliance with all relevant standards and policies. Support Program Milestones: Work collaboratively with Project Managers to define tasks and schedules The successful candidate will: Be able to work independently, take initiative, and drive projects to completion with minimal supervision. What You Bring Basic Requirements: Must have 6, or more, years of general (full-time) work experience May be reduced with completion of advanced education Must have 3, or more, years of experience directly related to the support or management of IT systems engineering or architecture role/capacity within a DoD and/or commercial enterprise Must have a fundamental understanding of Requirements Analysis and Management principles. Must have a proficient understanding of the System Engineering V-Model and engineering lifecycle. Must have an active DoW Secret Security Clearance Must be able obtain an active DoW Top Secret Security Clearance with SCI eligibility Desired Requirements: Have a bachelor's degree (or higher) in a related field (e.g., Systems Engineering, Computer Science, Electrical Engineering). Have experience with Linux administration, management, and sustainment. Have experience working within the Missile Defense Agency (MDA) or other Department of Defense (DoD) organizations. Have competency in developing and editing Department of Defense Architecture Framework (DoDAF) (or equivalent framework). Be able to logically decompose complex mission systems into manageable components. Have experience in developing detailed implementation plans for new solutions and systems. Have a track record of effectively troubleshooting and applying critical thinking skills to resolve IT system dependencies, impacts, and sustainability challenges. Be familiar with Agile development methodologies. Be familiar with cloud computing (server and serverless) technologies (e.g., Amazon Web Services (AWS), Microsoft Azure, Red Hat Openshift) Have experience working with SysML and MBSE tools such as Cameo Systems Modeler (No Magic), IBM Rhapsody, or Sparx Enterprise Architect. Have 1, or more, certifications in relevant areas (e.g., INCOSE ASEP, CompTIA Security+). Why LaunchTech? LaunchTech is built on a single standard: Excellence, Period. This role puts you at the forefront of developing and implementing innovative platform solutions supporting the nation's space-based missile defense capabilities. We offer: Medical, Dental, and Vision coverage 401(k) with company match Paid Time Off (PTO) Mission-driven work with opportunities to grow And more Ready to Join the LaunchTech Crew? LaunchTech is an Equal Opportunity Employer. We prohibit discrimination and harassment of any kind. All qualified applicants will receive consideration for employment without regard to race, protected veteran status, color, sex, religion, sexual orientation, national origin, disability, genetic information, age, pregnancy, or any other status protected under federal, state, or local law. Visit to learn more about how we deliver Excellence, Period. Powered by JazzHR QsfqSPDjky
11/12/2026
Full time
Job Description Job Description Location: Schriever Space Force Base, Colorado Springs, CO Clearance Required: Active DoW Secret Security Clearance Travel Required: Up to 10% of the time LaunchTech is a veteran-owned company that prides itself on delivering service before self and excellence in all we do. We are seeking dynamic professionals who embody our core values of Integrity, Commitment, and Excellence to join our growing Crew in support of our customers across the federal, state, and commercial markets. We are seeking a a highly motivated, independent, and results-oriented Mid-Level Platform System Engineer to support the Missile Defense Agency (MDA) on the Integrated Research and Development for Enterprise Solutions (IRES) contract. In this role, you will be at the forefront of leading a team in the development and implementation of innovative solutions for critical elements supporting advanced sensing capabilities. You will be instrumental in ensuring efficient, sustainable, and secure command and control of our nation's space-based defense capabilities. This is an opportunity to make a tangible difference in a mission-critical environment. If you are passionate about leveraging your technical expertise to enhance our nation's security, consider this position. What You'll Be Doing Support Innovation: Develop and design cutting-edge solutions to optimize efficiency, security, and sustainability within a team supporting Platform MDSEA frameworks. Contribute to Technical Initiatives: Conduct comprehensive studies and analyses, define detailed requirements, engineer preliminary and detailed platform architectures, and oversee system development for enterprise services, satellite ground systems, and operations centers (including supporting facilities). Contribute to all phases of the Engineering Lifecycle: Support projects from initiation through requirements management, task execution, and platform system sustainment. Support Implementation: Document designs and create comprehensive implementation and test plans for execution by sustainment personnel. Collaborate and Integrate: Direct a cohesive partnership within the team and other engineers, system administrators, cybersecurity, test teams, project managers, software developers, network engineers, and application teams to ensure seamless integration and compliance with all relevant standards and policies. Support Program Milestones: Work collaboratively with Project Managers to define tasks and schedules The successful candidate will: Be able to work independently, take initiative, and drive projects to completion with minimal supervision. What You Bring Basic Requirements: Must have 6, or more, years of general (full-time) work experience May be reduced with completion of advanced education Must have 3, or more, years of experience directly related to the support or management of IT systems engineering or architecture role/capacity within a DoD and/or commercial enterprise Must have a fundamental understanding of Requirements Analysis and Management principles. Must have a proficient understanding of the System Engineering V-Model and engineering lifecycle. Must have an active DoW Secret Security Clearance Must be able obtain an active DoW Top Secret Security Clearance with SCI eligibility Desired Requirements: Have a bachelor's degree (or higher) in a related field (e.g., Systems Engineering, Computer Science, Electrical Engineering). Have experience with Linux administration, management, and sustainment. Have experience working within the Missile Defense Agency (MDA) or other Department of Defense (DoD) organizations. Have competency in developing and editing Department of Defense Architecture Framework (DoDAF) (or equivalent framework). Be able to logically decompose complex mission systems into manageable components. Have experience in developing detailed implementation plans for new solutions and systems. Have a track record of effectively troubleshooting and applying critical thinking skills to resolve IT system dependencies, impacts, and sustainability challenges. Be familiar with Agile development methodologies. Be familiar with cloud computing (server and serverless) technologies (e.g., Amazon Web Services (AWS), Microsoft Azure, Red Hat Openshift) Have experience working with SysML and MBSE tools such as Cameo Systems Modeler (No Magic), IBM Rhapsody, or Sparx Enterprise Architect. Have 1, or more, certifications in relevant areas (e.g., INCOSE ASEP, CompTIA Security+). Why LaunchTech? LaunchTech is built on a single standard: Excellence, Period. This role puts you at the forefront of developing and implementing innovative platform solutions supporting the nation's space-based missile defense capabilities. We offer: Medical, Dental, and Vision coverage 401(k) with company match Paid Time Off (PTO) Mission-driven work with opportunities to grow And more Ready to Join the LaunchTech Crew? LaunchTech is an Equal Opportunity Employer. We prohibit discrimination and harassment of any kind. All qualified applicants will receive consideration for employment without regard to race, protected veteran status, color, sex, religion, sexual orientation, national origin, disability, genetic information, age, pregnancy, or any other status protected under federal, state, or local law. Visit to learn more about how we deliver Excellence, Period. Powered by JazzHR QsfqSPDjky
Job Description Job Description Company Description Link Solutions, Inc. delivers reliable and effective Information Technology services to government clients in support of critical mission needs. Delivering a broad range of Infrastructure Operations, Application Development, Cybersecurity, Virtualization, Cloud and Mobility services. If you're looking for a technology company that values innovation, with a vision toward the future of the technology landscape, look no further than Link Solutions! Link is quality and compliance-focused, under our guiding philosophy "Mission First, Customer Always". We are certified in ISO 9001:2015, ISO 20000-1:2018, and ISO 27001:2022; CMMC Level 2 certified; and appraised at CMMI Maturity Level 3 for Services and Development. Job Description Link Solutions is seeking a Senior Infrastructure Engineer to support the Army Research Laboratory (ARL) Information Technology Modernization and Support Services program in Adelphi, Maryland. Active Secret Clearance preferred Bachelor's degree in Information Technology, Computer Science, Engineering, or a related technical discipline. Non-Remote/On-site only (relocation assistance available) As the Senior Infrastructure Engineer , you will serve as the senior technical authority for enterprise infrastructure modernization, technology strategy, and innovation supporting the Army Research Laboratory. You will partner with government leadership and engineering teams to assess current environments, evaluate emerging technologies, and develop solutions that enhance operational efficiency, cybersecurity, resilience, automation, and mission effectiveness. Leveraging expertise across enterprise infrastructure, cloud technologies, networking, virtualization, identity management, endpoint management, and cybersecurity, you will provide strategic guidance, lead technical assessments, and recommend innovative solutions that support long-term mission objectives. The ideal candidate is a trusted technical advisor with strong analytical and communication skills who excels at solving complex infrastructure challenges and driving technology modernization initiatives. Job Responsibilities: Serve as the senior technical advisor on enterprise infrastructure modernization, engineering, and technology strategy initiatives. Evaluate existing infrastructure, operational processes, and technology implementations to identify opportunities for modernization, automation, efficiency improvements, and cost savings. Research and assess emerging technologies, industry trends, and vendor solutions relevant to DoD, research, and enterprise environments. Develop technical assessments, business cases, cost-benefit analyses, and technology recommendations for Government leadership. Analyze and evaluate technologies across Windows, Linux, and macOS platforms; identity services; networking; storage; virtualization; endpoint management; cybersecurity; and cloud environments. Develop modernization roadmaps and strategic recommendations aligned with mission, security, operational, and budget requirements. Assist infrastructure and engineering teams in troubleshooting complex technical issues and resolving enterprise-wide challenges. Participate in architecture reviews, engineering assessments, and technology evaluation efforts. Review proposed technical solutions and provide recommendations regarding feasibility, scalability, security, supportability, and operational impact. Identify opportunities to leverage automation, orchestration, Infrastructure-as-Code (IaC), AI-enabled technologies, and process improvements to increase operational effectiveness. Support cybersecurity initiatives by evaluating technologies against RMF, Continuous ATO, Zero Trust, STIG, and vulnerability management requirements. Develop technical white papers, decision briefs, recommendations, and executive presentations for Government stakeholders. Present findings, recommendations, risks, and modernization strategies to Government and contractor leadership. Maintain awareness of emerging technologies and industry best practices to support continuous improvement and innovation. 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. Compensation Range: $135,000 - $175,000 Full-Time (Mon-Fri) Several factors influence the final salary rate, including but not limited to contract wage determinations, relevant work experience, role-specific skills and competencies, educational background, and certifications. Qualifications U.S. Citizen. Must be willing to obtain and maintain a DoD Secret Clearance. Bachelor's degree in Information Technology, Computer Science, Engineering, Information Systems, or related technical discipline. Twelve (12+) years of progressive experience supporting, engineering, architecting, or modernizing enterprise IT environments. Experience conducting technology assessments, architecture reviews, infrastructure analyses, and modernization planning activities. Strong knowledge of enterprise Windows, Linux, and macOS environments. Experience with Active Directory, identity and access management, networking, storage, virtualization, endpoint management, and cloud technologies. Familiarity with enterprise platforms such as Nutanix, VMware, Microsoft Intune, MECM/SCCM, Jamf Pro, Apple Business Manager, Microsoft Entra ID, or equivalent technologies. Experience developing technical recommendations, business cases, cost-benefit analyses, and executive-level briefings. Knowledge of automation, scripting, Infrastructure-as-Code (IaC), and operational efficiency best practices. Demonstrated ability to analyze and assist in resolving complex infrastructure and technology challenges. Strong analytical, written, verbal, presentation, and interpersonal communication skills. Preferred: Active Secret Clearance. IAT Level II certification equivalent or higher (CompTIA Security+ CE, CISSP, CySA, etc.) in accordance with DoD 8570/8140 requirements. Experience serving as a Chief Infrastructure Engineer, Infrastructure Architect, Enterprise Architect, Chief Systems Engineer, Technical Director, Solutions Architect, or similar senior technical role. Experience supporting DoD, Federal, research, laboratory, or scientific computing environments. Experience developing technology roadmaps, modernization strategies, digital transformation initiatives, or infrastructure optimization plans. Experience presenting technical analyses, recommendations, and investment strategies to senior Government leadership. Experience evaluating cloud, automation, AI-enabled operations, observability, Zero Trust, and next-generation infrastructure technologies. Experience with Microsoft Azure, AWS, Nutanix, VMware, Intune, MECM/SCCM, Jamf Pro, or similar enterprise technologies. Advanced certifications such as Azure Solutions Architect, AWS Solutions Architect, RHCE, Nutanix NCP, CCNP, VMware VCP, or ITIL. Excellent executive briefing, facilitation, and stakeholder engagement skills. Additional Information Link Solutions Inc. offers a competitive compensation and benefits package to include paid holidays, paid time off, medical, dental, vision, company-paid long and short-term disability, life insurance, referral bonuses, relocation incentive program, certification reimbursement program, retirement, and more. Link Solutions, Inc. is an EOE. AA/M/F/D/V. We participate in the E-Verify Employment Verification Program. All your information will be kept confidential according to EEO guidelines.
11/12/2026
Full time
Job Description Job Description Company Description Link Solutions, Inc. delivers reliable and effective Information Technology services to government clients in support of critical mission needs. Delivering a broad range of Infrastructure Operations, Application Development, Cybersecurity, Virtualization, Cloud and Mobility services. If you're looking for a technology company that values innovation, with a vision toward the future of the technology landscape, look no further than Link Solutions! Link is quality and compliance-focused, under our guiding philosophy "Mission First, Customer Always". We are certified in ISO 9001:2015, ISO 20000-1:2018, and ISO 27001:2022; CMMC Level 2 certified; and appraised at CMMI Maturity Level 3 for Services and Development. Job Description Link Solutions is seeking a Senior Infrastructure Engineer to support the Army Research Laboratory (ARL) Information Technology Modernization and Support Services program in Adelphi, Maryland. Active Secret Clearance preferred Bachelor's degree in Information Technology, Computer Science, Engineering, or a related technical discipline. Non-Remote/On-site only (relocation assistance available) As the Senior Infrastructure Engineer , you will serve as the senior technical authority for enterprise infrastructure modernization, technology strategy, and innovation supporting the Army Research Laboratory. You will partner with government leadership and engineering teams to assess current environments, evaluate emerging technologies, and develop solutions that enhance operational efficiency, cybersecurity, resilience, automation, and mission effectiveness. Leveraging expertise across enterprise infrastructure, cloud technologies, networking, virtualization, identity management, endpoint management, and cybersecurity, you will provide strategic guidance, lead technical assessments, and recommend innovative solutions that support long-term mission objectives. The ideal candidate is a trusted technical advisor with strong analytical and communication skills who excels at solving complex infrastructure challenges and driving technology modernization initiatives. Job Responsibilities: Serve as the senior technical advisor on enterprise infrastructure modernization, engineering, and technology strategy initiatives. Evaluate existing infrastructure, operational processes, and technology implementations to identify opportunities for modernization, automation, efficiency improvements, and cost savings. Research and assess emerging technologies, industry trends, and vendor solutions relevant to DoD, research, and enterprise environments. Develop technical assessments, business cases, cost-benefit analyses, and technology recommendations for Government leadership. Analyze and evaluate technologies across Windows, Linux, and macOS platforms; identity services; networking; storage; virtualization; endpoint management; cybersecurity; and cloud environments. Develop modernization roadmaps and strategic recommendations aligned with mission, security, operational, and budget requirements. Assist infrastructure and engineering teams in troubleshooting complex technical issues and resolving enterprise-wide challenges. Participate in architecture reviews, engineering assessments, and technology evaluation efforts. Review proposed technical solutions and provide recommendations regarding feasibility, scalability, security, supportability, and operational impact. Identify opportunities to leverage automation, orchestration, Infrastructure-as-Code (IaC), AI-enabled technologies, and process improvements to increase operational effectiveness. Support cybersecurity initiatives by evaluating technologies against RMF, Continuous ATO, Zero Trust, STIG, and vulnerability management requirements. Develop technical white papers, decision briefs, recommendations, and executive presentations for Government stakeholders. Present findings, recommendations, risks, and modernization strategies to Government and contractor leadership. Maintain awareness of emerging technologies and industry best practices to support continuous improvement and innovation. 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. Compensation Range: $135,000 - $175,000 Full-Time (Mon-Fri) Several factors influence the final salary rate, including but not limited to contract wage determinations, relevant work experience, role-specific skills and competencies, educational background, and certifications. Qualifications U.S. Citizen. Must be willing to obtain and maintain a DoD Secret Clearance. Bachelor's degree in Information Technology, Computer Science, Engineering, Information Systems, or related technical discipline. Twelve (12+) years of progressive experience supporting, engineering, architecting, or modernizing enterprise IT environments. Experience conducting technology assessments, architecture reviews, infrastructure analyses, and modernization planning activities. Strong knowledge of enterprise Windows, Linux, and macOS environments. Experience with Active Directory, identity and access management, networking, storage, virtualization, endpoint management, and cloud technologies. Familiarity with enterprise platforms such as Nutanix, VMware, Microsoft Intune, MECM/SCCM, Jamf Pro, Apple Business Manager, Microsoft Entra ID, or equivalent technologies. Experience developing technical recommendations, business cases, cost-benefit analyses, and executive-level briefings. Knowledge of automation, scripting, Infrastructure-as-Code (IaC), and operational efficiency best practices. Demonstrated ability to analyze and assist in resolving complex infrastructure and technology challenges. Strong analytical, written, verbal, presentation, and interpersonal communication skills. Preferred: Active Secret Clearance. IAT Level II certification equivalent or higher (CompTIA Security+ CE, CISSP, CySA, etc.) in accordance with DoD 8570/8140 requirements. Experience serving as a Chief Infrastructure Engineer, Infrastructure Architect, Enterprise Architect, Chief Systems Engineer, Technical Director, Solutions Architect, or similar senior technical role. Experience supporting DoD, Federal, research, laboratory, or scientific computing environments. Experience developing technology roadmaps, modernization strategies, digital transformation initiatives, or infrastructure optimization plans. Experience presenting technical analyses, recommendations, and investment strategies to senior Government leadership. Experience evaluating cloud, automation, AI-enabled operations, observability, Zero Trust, and next-generation infrastructure technologies. Experience with Microsoft Azure, AWS, Nutanix, VMware, Intune, MECM/SCCM, Jamf Pro, or similar enterprise technologies. Advanced certifications such as Azure Solutions Architect, AWS Solutions Architect, RHCE, Nutanix NCP, CCNP, VMware VCP, or ITIL. Excellent executive briefing, facilitation, and stakeholder engagement skills. Additional Information Link Solutions Inc. offers a competitive compensation and benefits package to include paid holidays, paid time off, medical, dental, vision, company-paid long and short-term disability, life insurance, referral bonuses, relocation incentive program, certification reimbursement program, retirement, and more. Link Solutions, Inc. is an EOE. AA/M/F/D/V. We participate in the E-Verify Employment Verification Program. All your information will be kept confidential according to EEO guidelines.