• Deliver billable professional services engagements across hybrid data center, virtualization, and cloud environments • Execute implementation, migration, upgrade, and modernization projects for enterprise clients • Deploy and support VMware, hyperconverged, storage, and Kubernetes platforms • Lead technical workstreams during project lifecycle phases (plan, design, implement, optimize, document) • Troubleshoot and resolve complex infrastructure issues across compute, storage, and data center networking domains • Develop client-facing deliverables including implementation documentation, cutover plans, validation reports, and knowledge transfer materials • Provide regular engagement status updates to project managers and client stakeholders • Ensure solutions are deployed according to scope, best practices, and performance expectations • Contribute to repeatable delivery methodologies, standards, and service offerings • Desire and commitment to achieve and maintain vendor and industry related certifications

• Independently complete engineering design, technical analysis, and preparation of specifications and reports for electric transmission projects, including overhead and underground transmission systems and related assessments • Develop computation methods, technical reports, and specifications under the guidance of senior staff or technical leadership • Identify and resolve technical discrepancies, applying standard procedures and best practices that support grid reliability, safety, and system performance • Monitor project progress and performance, acting quickly to resolve operational issues and minimize delays on critical electric transmission initiatives • Take responsibility for large portions of projects with oversight from senior staff or management, including field assignments associated with transmission assets

• Co-develop, support and drive Raytheon AM technology roadmap • Work with programs early in development to assess the feasibility of AM implementation including design and cost considerations • Support multiple programs at a time to facilitate development, fabrication and qualification of AM hardware • Capture and execute Contracted Research and Development (CRAD) and Internal Research and Development (IRAD) to mature AM technology • Work with Quality, Operations and Supply Chain teams to establish a robust network of AM sources • Facilitate the creation of Technical Data Packages that effectively convey design intent as well as functional and quality requirements • Lead process development activity to improve print capability, increase speed, reduce cost and enhance material performance • Mature Raytheon's design for AM capability, including evaluation of available CAD tools and implementation of topology optimization workflows • Train and mentor other design engineers on basic principles of DFAM as well as specific considerations for Raytheon product families • Collaborate with government, industry, academic, and RTX Business Unit partners to develop whitepapers, project concepts, and responsive proposals

• Develop algorithms for AI/DL, data analytics, machine learning, or scientific computing • Contribute and advance open source NeMo-RL , Megatron Core , NeMo Framework • Solve large-scale, end-to-end AI training and inference challenges, spanning the full model lifecycle from initial orchestration, data pre-processing, running of model training and tuning, to model deployment. • Work at the intersection of computer-architecture, libraries, frameworks, AI applications and the entire software stack. • Innovate and improve model architectures, distributed training algorithms, and model parallel paradigms. • Performance tuning and optimizations, model training and finetuning with mixed precision recipes on next-gen NVIDIA GPU architectures. • Research, prototype, and develop robust and scalable AI tools and pipelines.