Associate Network Engineer

The Mitre Corporation•New Bedford, MA

3d•$80,400 - $120,600•Onsite

About The Position

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.

Requirements

Bachelor’s degree in computer science, Electrical Engineering, Computer Engineering, Data Science related discipline
Interest in complex multi-disciplinary problems
Willingness and ability to learn new tools/concepts
The candidate will engage in hands-on, mission-driven work. Responsibilities span the full solution lifecycle - from design and prototyping through testing, implementation, and monitoring - across various networking use cases and solutions
Typically requires a minimum of 1 year of related experience with a bachelor’s degree; or with relevant experience who can immediately contribute at this job step
Must be eligible to obtain and maintain a Top Secret U.S Government issued Security Clearance. Per the U.S. Government’s eligibility requirements, you must be a U.S Citizen to be considered for a security clearance.
This position requires a minimum of 4 days a week on-site.

Nice To Haves

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.

Responsibilities

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