Software Engineer

Peraton; New Hampshire; On-site; USD 120,000 - 160,000; Full time

Job summary

Peraton Labs is seeking a highly skilled professional to join its cybersecurity research group in the United States. You will work on program analysis, malware reverse engineering, and resilient networking to support cyber mission goals.

The role emphasizes leadership on software development and DoD/IC research collaborations, with opportunities in AI/ML, cloud, and virtualization technologies within a dynamic operations environment.

Qualifications

• Bachelor's degree in a relevant scientific/engineering discipline as listed.

Responsibilities

• Contribute to program analysis, vulnerability identification, and remediation.

Skills

Programming languages (C, C++, Java, P

Operating systems knowledge

US citizenship

Security clearance awareness

Technical leadership

Business development

DoD/IC experience

Education

Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Physics, or related scientific/engineering discipline

Tools

GHIDRA

Hex-Rays IDA

Binary Ninja

Angr

Cuckoo sandbox

OllyDBG

WinDbg

Metasploit

Cobalt Strike

CORE

EMANE

MiniNet

Docker

Docker Swarm

Kubernetes

Terraform

AWS

Azure

OpenStack

Git

Subversion

CI/CD toolchains

Job description

• 5 years with BS/BA; 3 years with MS/MA; 0 years with PhD
• 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, MacOS, Windows, and mobile operating systems, platforms and internals
• Working knowledge of modern computer networking technologies
• Working knowledge of modern development practices and toolsets (Git, subversion, CI/CD toolchains)
• US citizenship
• Active Secret clearance with ability to obtain TS/SCI

Other Relevant Skills (not required, but any are a plus):

• Experience as a technical lead on software development projects or research teams
• Experience as a Principal Investigator on DoD/IC research projects
• Experience in business development, including technical marketing, idea generation, and authoring whitepapers and proposals for new work.
• Experience in one or more of the following areas:
  • Program Analysis
  • Computer networking protocol design and/or analysis
  • Compute and network emulation, containerization, and virtualization
  • Reverse Engineering
  • Real-Time Operation Systems (RTOS)
  • Field Programmable Gate Array (FPGA)
• Experience with one or more of the following classes of tools and frameworks:
  • Binary Analysis Tools, such as GHIDRA, Hex-Rays IDA, Binary Ninja, Angr,
  • Debugging and Sandboxing tools, such as Cuckoo sandbox, OllyDBG, WinDbg
  • CNO toolsets, including Metasploit, Cobalt Strike
  • Network emulation frameworks including CORE, EMANE, MiniNet
  • Container and Orchestration solutions, including: Docker, Docker Swarm, Kubernetes, Terraform
  • Cloud services experience (AWS, Azure, OpenStack)
• Experience with DevOps and Agile development methodologies
• Experience in the U.S. DoD/IC research community
• CNO operational experience

PeratonLabsdelivers 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.PeratonLab'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