Senior Research Scientist

Senior Research Scientist - Cyber Network SecurityPeraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies.Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers.Program OverviewThe program, led by Peraton Labs with external infrastructure support, conducts advanced research for the customer on a variety of topics, including cybersecurity, RF solutions, and quantum communications. Mission focus is on developing next-gen tools for detecting cyber-attacks, enhancing network resilience, and improving small-form factor sensor systems while maintaining a focus on cutting-edge technologies like machine learning and software-defined networking.About The RolePeraton Labs is seeking a highly motivated individual to support and enhance development of classified and unclassified network research prototypes for a government research customer. Candidates will work in a dynamically changing environment and expected to be able to acquire and adapt new technologies to create state-of-the-art prototypes.Roles and Responsibilities:Research and develop network-based prototypes including the creation of software, scripts and documentation to demonstrate capabilities in new network technology areas.Research and develop state-of-the-art large-scale prototypes involving virtualized environments, including but not limited to cloud infrastructure, containers, and network function virtualization (NFV).Provide technical leadership working with government PMs to help shape and guide their research program, explain technical details to customer stakeholders, and work alongside other contractors to create prototypes.Work in a fast-paced dynamic environment acquiring expertise as needed and demonstrating capabilities in software development, networking, data collection/monitoring, reverse engineering, etc.QualificationsRequires BS w/ 12 YOE, MS w/ 10 YOE, or Ph.D. w/ 7 YOE to satisfy government contractor requirements. Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field is preferred.Candidates should have proficiency in skills in the following list, which outline the breadth of work available (expertise in all areas is not required):Software development skills in one or more languages (Python, Go, Java), DevOps experience for team development, CICD and version management.Experience with network and system automation tools (e.g., Ansible, Helm, Puppet).Virtualization and container technologies (e.g., Docker, Kubernetes, Vagrant, etc.) experience.Ability to quickly acquire knowledge in new technologies, redirect research, quickly prototype solutions, suggest new lines of research and help shape the customer's research programs.Experience and understanding of network protocols, automation and devices (e.g., routers, switches, firewalls).Experience with reverse engineering tools, such as Ghidra, IDA Pro, for system and malware analysis when needed.Ability to clearly document and describe research to the government customer and their stakeholders so that you can demonstrate expertise and expand roles with the customer.Experience working with members of the IC and related DOD customers.Desire to work at customer research sites (primarily located in College Park, Md.) collaborating with government PMs and contractors to design working research prototypes.Current/Active TS/SCI w/ Poly required for this roleAdditional Helpful SkillsExperience with embedded systems development, Linux kernel or device driver development, or the desire and drive to acquire skills in this area.Familiarity with machine learning, neural networks or advanced AI techniques, or the motivation to acquire and apply these skills, is a plus.EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law. #J-18808-Ljbffr