Research Scientist

Qualifications

• At least 2 years of experience with BS/BA; 0 years with MS/MA
• Bachelor’s Degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics, or related scientific/engineering discipline.
• Ability and desire to quickly acquire knowledge of new subject matter areas
• Expertise in one or more of: C, C++, Java, Python, Go, or similar languages
• Working knowledge of Linux, and Windows operating systems, platforms and internals
• Working knowledge of modern development practices and toolsets (Git, subversion, CI/CD tool chains)
• Prior experience with prototype software development for RF spectrum planning and management applications
• Ability to obtain Secret Clearance
• US Citizenship

• Experience as a technical lead on software development projects or research teams
• Experience in one or more of the following areas:
  • Experience with DoD Risk Management Framework (RMF), including requirements and implementation of cybersecurity controls
  • Compute and network emulation, containerization, and virtualization
  • Dev Ops and Agile development methodologies
• Experience with one or more of the following classes of tools and frameworks:
  • Container and Orchestration solutions, including:
    Docker, Docker Swarm, Kubernetes, Terraform
  • Cloud services experience (AWS, Azure, Open Stack)

Peraton Labs delivers innovative solutions and revolutionary new capabilities to solve the most difficult and complex challenges for government agencies, utilities, and commercial customers. With a distinguished heritage tracing back to Bell Labs, Bellcore, and Telcordia, our experts pave the way.

Peraton Lab’s cybersecurity research protects mission‑critical systems and national cyber infrastructure through a broad range of initiatives in computer network defense, secure‑by‑design techniques and cyber operations and experimentation platforms.

Our projects span several areas of interest. Our core competencies include (but are not limited to):

• Program analysis, including program understanding, vulnerability identification, and remediation
• Malware analysis and reverse engineering
• Resilient networking in support of cyber mission goals
• Software‑defined networking for cyber defense and deception
• Artificial intelligence (reasoning, probabilistic inference, machine learning)