BigBear.ai
From BigBear.ai's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
In this role, you will design, develop, prototype, modify, and integrate solutions to deliver mission-centric results.
Residency
All applicants must reside in the United States at the time of application.
Overview
BigBear.ai is seeking a CNO NetDev Developer 3 to act as a general-purpose CNO reverse engineer for network-based devices on exciting, up-and-coming projects. In this role, you will design, develop, prototype, modify, and integrate solutions to deliver mission-centric results. You will work closely with analysts, operators, data scientists, and other software engineers to provide tactical mission support. If you are passionate about reverse engineering, network protocols, and developing innovative solutions, this is the opportunity for you.
Toolset Augmentation: Enhance and augment existing toolsets to meet mission requirements
Requirements Analysis: Derive, document, and analyze requirements to ensure alignment with mission objectives
Prototyping: Build prototypes to demonstrate understanding of mission requirements and validate concepts
Toolset Development: Produce deployable toolsets that can operate effectively within mission constraints
Testing: Test and oversee testing of toolsets to ensure readiness for release and deployment
Clearance: Must possess and maintain an active TS/SCI w/ Polygraph
12 years of experience with a B.S. or 10 years with an M.S. (4 additional years of software engineering experience may be substituted for a bachelor’s degree)
Familiarity with Unix-based systems
Experience with reverse engineering Linux-based network devices
In-depth understanding of network protocols (e.g., TCP/IP) and analysis of network traffic (e.g., Wireshark)
Proficiency in producing and modifying software systems in C/C++, Python, and Assembly
Ability to provide support for fielded software systems
Version Control: Familiarity with Git and Subversion
Tools: Experience with Atlassian Tools (Jira, Confluence)
CNO Operations: Experience with production CNO capabilities and operations
Reverse Engineering Expertise: Experience with reverse engineering Windows or embedded platforms (RTOS)
Programming Skills: Experience with any of the following languages: Java, JavaScript, Bash, PowerShell, Perl, C#, Rust
CNO Development: Experience developing CNO-specific software for Linux, Windows, or Embedded applications
Vulnerability Research: Experience with Vulnerability Research and Exploit Development
SIGINT Knowledge: Knowledge of end-to-end SIGINT collection and analysis systems
Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.
Toolset Augmentation: Enhance and augment existing toolsets to meet mission requirements
Requirements Analysis: Derive, document, and analyze requirements to ensure alignment with mission objectives
Prototyping: Build prototypes to demonstrate understanding of mission requirements and validate concepts
Toolset Development: Produce deployable toolsets that can operate effectively within mission constraints
Testing: Test and oversee testing of toolsets to ensure readiness for release and deployment
Clearance: Must possess and maintain an active TS/SCI w/ Polygraph
12 years of experience with a B.S. or 10 years with an M.S. (4 additional years of software engineering experience may be substituted for a bachelor’s degree)
Familiarity with Unix-based systems
Experience with reverse engineering Linux-based network devices
In-depth understanding of network protocols (e.g., TCP/IP) and analysis of network traffic (e.g., Wireshark)
Proficiency in producing and modifying software systems in C/C++, Python, and Assembly
Ability to provide support for fielded software systems
Version Control: Familiarity with Git and Subversion
Tools: Experience with Atlassian Tools (Jira, Confluence)
CNO Operations: Experience with production CNO capabilities and operations
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