Enterprise & Tactical Networking Intern

At MITRE, your passion fuels work that impacts our nation and improves lives. This is where your skills strengthen national security, cybersecurity, health, transportation, and citizen services. We’re a nonprofit engineering, applied research, and advanced technology organization working in the public interest. With objectivity and integrity at our core, we lead federally funded research and development centers for U.S. government agencies – collaborating with industry and academia to deliver integrated, high-impact solutions that advance our nation’s health, security, and prosperity. Our people tackle the toughest technical challenges, supported by competitive benefits, meaningful career development, and a culture of innovation, collaboration, and technical excellence. Choose MITRE for a career with purpose — and help shape the future. The L616 – Enterprise and Tactical Networking Department within MITRE Technology and Engineering specializes in complex network challenges vital to national well-being. Our work involves researching, developing, and applying advanced technologies in core areas such as: Network architecture and design Software-defined / Virtual networks (SDN/NFV) Network reliability, resilience, mission security and assurance, network data analytics E2E network MS&A, T&E, AFSIM Embedded networks (IoT, ICs, SCADA) Tactical and threat-informed networking Machine Learning and AI-driven network analytics By integrating deep technical expertise across these networking domains, we provide our federal sponsors with comprehensive solutions that enable their mission outcomes. Job Responsibilities Interns in the Enterprise and Tactical Networking Department make impactful contributions to mission-driven projects alongside experienced engineers and researchers. T ypical activities may include: Develop prototypes of intelligent network capabilities in MITRE advanced labs Work on collaborative research teams to develop innovative solutions using commercial and MITRE developed technologies Conduct performance assessments of current and emerging technologies Execute data science research beginning at data wrangling and cleaning all the way through to reporting and visualization Scale solutions to work across large enterprises and large data sets Analyze data from network sensor systems and integrate additional data sources for improved outcomes Communicate technical approach and findings to internal and external stakeholders Basic Qualifications Sustained excellence in academic performance Must be a student enrolled full-time in an accredited degree-seeking program in [ computer science, computer information systems, cybersecurity, computer engineering, electrical engineering, data science ] or a related degree and continue to be enrolled full-time the semester following the internship. Strong analytical and problem-solving skills. Strong written and verbal communication skills. Ability to work in dependently and as part of a collaborative team. Demonstrated interest in serving the public Preferred Qualifications Excellent written and verbal communication skills Exposure to network programmability concepts such as software define networking (SDN), Network Function Virtualization (NFV), and programmable data planes Exposure to virtualization, automation and DevOps architectures such as Docker Swarm, Kubernetes, Chef and Puppet. Ability to apply, modify and formulate algorithms and processes to solve challenging problems Knowledge of various machine learning paradigms (deep learning, reinforcement learning, neural networks, etc.) with an understanding of mathematical underpinnings of various models Hands-on software development skills in a modern programming language ( e.g. Python, R, Scala, Java) Working knowledge of data science workflow from data acquisition to reporting findings Strong understanding of streaming and batch data workflows, including message queues, processing directed acyclic graphs (DAGs) and data stores. This requisition requires the candidate to have a minimum of the following clearance(s): None This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): None Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual Work Location Type: Onsite It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. 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. MITRE intends to maintain a website that is fully accessible to all individuals. 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