Cryptologic Computer Scientist II — Secure Critical Systems

Sentar Inc.; Fort Meade (MD); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Voluntary Medical, Dental, Vision with

Health Savings or Flexible Spending

Voluntary Life, Critical Illness, etc.

Group Term Life, Short/Long-Term Dis.

401(k) match

Generous PTO

Tuition reimbursement

Professional development reimbursement

Recognition and Awards programs

Job summary

Sentar Inc. is seeking a Cryptologic Computer Scientist to design, develop, and operate solutions for cryptologic challenges. You will tackle forensics, attribution, and protection of critical networks using advanced computer science techniques.

The role requires TS/SCI with active poly, strong programming background, and experience with automation. Familiarity with Python, Jupyter Notebooks, C++, and mobile app analysis is preferred.

Qualifications

• Master’s degree with 3 years of relevant experience or equivalent.
• Bachelor’s degree with 5 years of relevant experience or equivalent.
• Associates degree with 7 years of relevant experience or equivalent.
• Degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related field with programming and calculus coursework.

Responsibilities

• Design, develop, deliver, and operate cryptologic computer science solutions.
• Apply computer science methods to forensics, attribution, and protection of networks and systems.
• Utilize Python and Jupyter Notebooks for automation and scripting; familiarity with C++, mobile app analysis and CNO preferred.

Skills

Python

Jupyter Notebooks

C++

Mobile app analysis

Education

Master’s degree

Bachelor’s degree

Associates degree

CS/CE/EE/Math degree with calculus

Job description

Sentar Inc. is seeking a Cryptologic Computer Scientist to design, develop, and operate solutions for cryptologic challenges. You will tackle forensics, attribution, and protection of critical networks using advanced computer science techniques.

The role requires TS/SCI with active poly, strong programming background, and experience with automation. Familiarity with Python, Jupyter Notebooks, C++, and mobile app analysis is preferred.