CNO Developer/Data Scientist

FRDA is looking for a skilled CNO Developer/Data Scientist who will participate in security research, design, development, verification, and deployment of complex new software in support of new and existing requirements. The role includes a mix of vulnerability research and development of cyber capabilities involving desktop and mobile platforms. You will support a variety of short-range and medium-range customer operations requiring custom solutions. Your engineering experience and skills from the following areas will be applied to meet requirements: Vulnerability Research, Reverse Engineering, Networking, Virtualization, Firmware, and/or C, as well as data science, large language model training, and experience in C programming for high-performance systems.

Minimum Basic Requirements for Skills, Experience, Education, and Credentials:

• 5+ years of professional software development experience
• Demonstrated experience in writing software in: Python, C, C++, or similar languages
• Demonstrated experience in reverse engineering, vulnerability research, and exploitation
• Development experience in one or more of the following platforms: Linux, Windows, iOS, Android
• Proven experience in data science techniques, including data collection, analysis, and modeling
• Experience in developing and optimizing large language models (LLMs) for security-related tasks and applications
• Hands-on experience in C development for system-level or performance-critical applications
• Related BA/BS degree from an accreditted college or university or five years of additional related work experience
• US Citizenship and an active TS/SCI with Polygraph security clearance required

Preferred Qualifications include:

• Demonstrated in-depth understanding of low-level development at the OS level is preferred
• MA/MS Degree in related technical field is preferred
• Kernel experience
• RE experience with Ghidra, IDA Pro, BNinja
• VR/RE/exploit experience as it pertains to the Linux Kernel or Android OS/Kernel
• Experience with machine learning, particularly in training and deploying large language models for cybersecurity use cases
• Familiarity with data science libraries (e.g., TensorFlow, PyTorch) and tools for processing large datasets in security contexts

Reasonable Accommodations: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. FRDA, LLC is committed to the full inclusion of all qualified individuals. As part of this commitment, FRDA will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, employees and applicants should contact Human Resources.

FRDA is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, train, compensate, discharge or any other term or condition of employment, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.