Carnegie Mellon University

AI Engineer

• De sign, de velop, and fine-tune a variety of AI models
• Design autonomous agents and multi-step pipelines using LangChain, ReAct, tool-calling, or custom orchestration
• Build Retrieval-Augmented Generation pipelines that combine external knowledge bases with LLMs to improve factual accuracy for warfighting applications
• Implement end-to-end data pipelines, ETL processes, and back-end services (Python, C/C++, Java) that feed data to models
• Create CI/CD pipelines for model training, validation, containerized deployment (Docker/Kubernetes), and security scanning
• Maintain model registries, monitoring, and version control of context protocols
• Produce rapid prototypes, run benchmarks, and conduct robustness/adversarial testing in realistic environments
• Work closely with senior ML engineers, software developers, and government customers; mentor junior staff and contribute to design reviews and documentation
• Stay current with emerging LLM architectures, agentic paradigms, PEFT/LoRA methods, and AI-safety techniques; translate new research into operational capabilities

AI Engineer – Mission Innovation Lab

Data Scientist

• Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges.
• In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products.
• You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cybersecurity strategy for decades to come.
• You will co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences.
• Our team works on a wide range of projects. Our current work includes research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems.
• Additionally, we craft metrics and experimental designs for large-scale cybersecurity research programs, develop human-in-the-loop machine learning solutions, and build classifiers to identify security vulnerabilities.

Senior Data Scientist

• use advanced statistics, data analytics, machine learning, and artificial intelligence to help government and industry clients research and solve cybersecurity challenges
• work with customers to identify areas where advanced statistical techniques can help tackle problems
• plan and develop prototype solutions and build out final products
• co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences
• engage in research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems
• craft metrics and experimental designs for large-scale cybersecurity research programs
• develop human-in-the-loop machine learning solutions
• build classifiers to identify security vulnerabilities

Research Scientist

• develop a research agenda and lead/conduct research in support of critical U.S. government needs
• lead novel research in applied machine learning and robotics
• lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders
• actively participate with researchers, developers, engineers, designers, technical leads, campus labs, and government customers to understand challenges, needs, and potential solutions
• mentor and teach junior staff, lead technical sessions, and contribute to the establishment of technical norms for the Lab
• maintain awareness of the latest in AI-enabled autonomous systems, especially pertaining to National Security use cases
• develop and deliver compelling technical presentations for diverse audiences, tailor content for varied stakeholders, speak at conferences and workshops, and publish in pertinent peer-reviewed journals

Senior Autonomy Systems Research Scientist

Engineer

• identify, shape, apply, conduct, and lead engineering research
• enhance simulation capabilities and apply tools to support autonomy-related projects
• work with and lead interdisciplinary teams to turn research results into prototype operational capabilities
• conduct and lead novel prototyping in applied artificial intelligence with a focus on machine learning
• collaborate with researchers, government customers, and stakeholders
• contribute to improving technical capabilities by mentoring and teaching others

Autonomy Engineer

Security Engineer

• Research network threats to develop methods of detection tailored for partner environments.
• Transition research into detection capabilities, new requirements, and feature requests for the NetSA Security tool suite.
• Write publications and provide customer-specific training.
• Gain insights from data to facilitate detections and research new data sources to expand the team's expertise.

Senior Network Security Researcher

• Research network threats to develop methods of detection and tailor these for partner environments.
• Transition of this research will take the form of developing detection capabilities, providing new requirements and feature requests for our NetSA Security tool suite, writing publications, and providing customer-specific training.
• Responsible for gaining insights from data to facilitate detections.
• Work with partners to help them to better understand their data.
• Research new data sources to expand the expertise of the team.

Network Security Researcher

• Research network threats to develop methods of detection tailored for partner environments
• Develop detection capabilities for SEI’s NetSA Security tool suite
• Write publications and provide customer-specific training
• Gain insights from network data to facilitate detections
• Collaborate with partners to enhance understanding of their data

Associate Network Security Researcher

• research network threats to develop methods of detection tailored for partner environments
• develop detection capabilities, provide new requirements and feature requests for the NetSA Security tool suite
• write publications and provide customer-specific training
• gain insights from data to facilitate detections and help partners understand their data
• research new data sources to expand the team's expertise

• research network threats to develop methods of detection and tailor these for partner environments.
• transition of this research will take the form of developing detection capabilities.
• provide new requirements and feature requests for NetSA Security tool suite.
• writing publications, and providing customer-specific training.
• responsible for gaining insights from data to facilitate detections.
• work with partners to help them to better understand their data.
• researching new data sources to expand the expertise of the team.

• Research network threats to develop methods of detection tailored for partner environments.
• Develop detection capabilities for the NetSA Security tool suite.
• Write publications and provide customer-specific training.
• Gain insights from data to facilitate detections.
• Work with partners to help them understand their data.
• Research new data sources to expand the team's expertise.

General

• Review executed award agreements, notices of award, amendments, subawards, and related documentation for completeness and accuracy.
• Reconcile sponsor-approved budgets to awarded funding and institutional proposal records, ensuring alignment with allowable cost structures and system requirements.
• Ensure revised budgets and other data elements are appropriately documented and accurately established in University systems.
• Create and maintain related project records
• Validate that required compliance determinations and approvals are in place and aligned with award terms for requirements.
• Verify adherence to institutional policies, sponsor regulations, and federal requirements.
• Establish and validate award data in the eRA system to ensure accurate and complete integration with the institutional financial system.
• Confirm all required financial, structural and compliance elements are in place prior to account activation, minimizing downstream corrections.
• Resolve data discrepancies at the point of setup to ensure system alignment and operational readiness.
• Serve as a primary point of contact for departments, principal investigators, and research administrators regarding award setup status and requirements.
• Communicate missing documentation, required corrections, or outstanding compliance items.
• Provide guidance regarding account establishment procedures, timelines, and institutional requirements.
• Maintain accurate and complete award records and supporting documentation.
• Monitor workflow queues and account setup metrics to support timely processing.
• Generate reports related to award setup activities, pending actions, and operational performance.
• Participate in quality assurance and continuous process improvement initiatives.
• Assist in development and refinement of standard operating procedures and workflow documentation.
• Participate in testing and implementation of eRA system enhancements or upgrades.
• Recommend process improvements to increase efficiency, data quality, and compliance.

Post Award Management Specialist

Software Engineer

• You’ll be responsible for developing software within our network data collection suite and pushing the bounds of the uses of those tools.
• Design, develop, and maintain high-performance software tools for collecting, processing, and analyzing large-scale network data using C, Python, and Bash.
• Participate in the full software development lifecycle, including requirements analysis, implementation, testing, deployment, and ongoing enhancement of cybersecurity research tools.
• Provide technical support by troubleshooting software issues, responding to user inquiries, and resolving reported defects.
• Prepare and maintain technical documentation, including user guides, installation instructions, and developer documentation.
• Develop and execute unit, integration, and regression tests to ensure software quality, reliability, and performance.

Senior C Programmer

• You'll be responsible for developing software within our network data collection suite and pushing the bounds of the uses of those tools.
• Much of the software is written in C, and some in Python.
• We are responsible for the entire life-cycle of the tools: requirements gathering/generation, development, testing, documentation, and user support.
• There is room for independence for new tools or projects to make our software suite more complete.

C Programmer

• As a Cybersecurity Engineer, you will be responsible for direct consulting with mission partners and subject matter experts across the CA portfolio.
• You will support cybersecurity assessment standardization, develop and employ security measurement approaches, and transition your knowledge and expertise to the broader community.
• You will work collaboratively on multidisciplinary teams solving difficult customer challenges in diverse environments.
• You will serve as a trusted advisor to defense and critical infrastructure customers.
• Cybersecurity Engineers also have the opportunity to conduct research into novel methods and approaches to managing cybersecurity resilience across all the component disciplines.