• Build and maintain automated workflows that reduce manual IT and operational work • Support integrations between core systems to improve data flow and reliability • Help operationalize AI tools (e.g., copilots, internal agents) by connecting them to real workflows • Identify opportunities for automation within existing processes and contribute to solution design and implementation • Support identity, access, and provisioning workflows through automation and system improvements • Contribute to documentation, playbooks, and reusable solutions that help teams adopt automation more effectively • Ensure automations are built with appropriate governance, monitoring, and error handling to support reliability at scale • Help structure and expose system data in ways that make it usable for automation and AI-driven workflows

• The Upgrade Team comprises Project Management, System Engineering and Field Engineering personnel working together in a high-performance culture, often with demanding cycle times and high customer expectations because we are working on mission critical communication systems. • Oversee all technical aspects of the assigned project. • Upgrade radio network including servers, network, and RF devices, customer presentations, and complete system documentation.

Title: Logistic Operations Research & Systems Analyst Location: Dahlgren United States Full time Job Description: Logistic Operations Research & Systems Analyst The Opportunity: As an operations analyst, you're passionate about exploring the root cause of an issue and then analyzing, reporting, and developing recommendations for a creative solution. We need an experienced research analyst like you to help us solve complex problems for our clients. On our logistics modeling and simulation team, you'll evaluate data assessment strategies such as sampling, statistical analysis, evaluation, and network analysis to deliver solutions. You won't go at it alone, you'll work alongside data scientists and logistics subject matter experts to conduct research, analyze, and interpret modeling results such as life cycle cost models and estimates, cost and benefit analyses, and what-if analyses. Once documented, you'll develop program briefs and presentations to present results, collaborate with stakeholders, and participate in various program meetings to improve program efficiency. In this role, you'll use your passion for analytics and statistics to devise modeling and measuring techniques utilizing mathematics, statistical methods, engineering methods, operational mathematics techniques such as linear programming, game theory, established statistical and machine-learning techniques, network analysis, discrete event simulations, and laws of scientific and economic disciplines. Use your operations research knowledge to develop technologies and concepts that advance logistics modeling and simulation. Join us. The world can't wait. You Have: - Experience with quantitative methods, including multivariate statistics, machine learning, network analysis, or computational modeling - Experience with programming languages, including Python, R, Matlab, or C# - Knowledge of creating and implementing Design of Experiments for large scale simulations consisting of complex solution spaces or multiple scenarios - Ability to identify, clean, and analyze datasets - Ability to assist with the design, implementation, and validation of novel algorithms and models - Ability to create interfaces, visualizations, and documentation to transform algorithms into user-facing software and analytic tools - Ability to work with clients to understand their requirements and present potential solutions - Ability to write professionally and brief clients on technical details and their analytic implications - TS/SCI clearance - Bachelor's degree Nice If You Have: - Experience creating and implementing logistics network models - Experience with military logistics operations - Experience working in the Defense or Intelligence community - Knowledge of defense and intelligence data sources or analytic tools - Knowledge of social science, including psychology, economics, sociology, or political science - Master's degree Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,300.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

• Lead system architecture and design for high-performance compute platforms optimized for AI and accelerator-driven workloads • Design and integrate PCIe-based subsystems including GPU, accelerator, and high-speed I/O components leveraging PCIe Gen5/6 technologies • Define and implement GPU-enabled server platforms for AI training, inference, and HPC workloads • Architect and optimize high-speed Ethernet networking interfaces (25G/100G/400G+) within platform designs • Drive system-level integration across compute, networking, and storage subsystems • Develop and validate FPGA-based solutions for system control, monitoring, and acceleration • Lead system bring-up, debug, and validation in lab environments • Troubleshoot complex hardware and performance issues across high-speed signaling, power, thermal, and interconnect domains • Define and implement platform management solutions including BMC integration, telemetry, health monitoring, and system-level diagnostics • Collaborate with cross-functional teams spanning hardware, firmware, BIOS, and OS to ensure seamless platform integration • Partner with silicon vendors, OEMs, and hyperscalers on custom platform development aligned with Astera Labs' connectivity ecosystem • Drive performance optimization across PCIe topology, accelerator interconnects, and memory subsystems.