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As a computer network operations (CNO) specialist, you know that embedded and application developers, reverse engineers, and vulnerability analysts all play key roles in the CNO capability development lifecycle. We’re looking for someone like you to flex your problem-solving prowess in a rapidly evolving systems security research and development environment. As a lead CNO capability development specialist on our team, you’ll oversee full project lifecycles. Leading an agile team of professionals, you’ll guide reverse engineering and vulnerability analyses on a range of software problems. You’ll inform operational parameters for complex systems, as well as leverage artificial intelligence and machine learning to influence the delivery of your work. Using your network operations expertise, you’ll determine what the art of the possible is, what can be done, and then you’ll bring it to life for your clients. Help us combat the most advanced adversaries and defend national security.
Job Responsibility:
Oversee full project lifecycles
Guide reverse engineering and vulnerability analyses on a range of software problems
Inform operational parameters for complex systems
Leverage artificial intelligence and machine learning to influence the delivery of your work
Determine what the art of the possible is, what can be done, and then bring it to life for your clients
Requirements:
8+ years of experience with developing software in languages such as C/C++, Golang, JavaScript, Python, or Ruby
8+ years of experience with embedded hardware and software development
Experience with vulnerability analysis and exploitation techniques
Experience with analyzing and understanding network protocols with tools, such as Wireshark or tshark
Experience with Linux operating systems
Experience in working with software version control systems such as Git
Knowledge of scripting languages, such as Python, Ruby, or BASH
Ability to think critically through difficult technical software problems
TS/SCI clearance with a polygraph
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Math, or Physics
Nice to have:
Experience in developing FPGA or ASIC
Experience in analyzing RF or Signals
What we offer:
Health, life, disability, financial, and retirement benefits