Cryptologic Computer Scientist: TS/SCI, Python/C++, C++

AV

Maryland

On-site

USD 87,000 - 208,000

Full time

14 days+
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Benefits offered by this job

401K with company matching
9/80 work schedule
Paid holiday shutdown
Medical, dental, vision benefits

Job summary

AeroVironment, Inc. is seeking a Cryptologic Computer Scientist to provide critical technical expertise for advancing cryptologic operations in national security.

The role entails developing, delivering, and operating innovative computer science solutions for complex challenges. Responsibilities include deriving solutions from forensic analysis and protecting critical networks, supporting active and passive systems, and applying advanced expertise to evolving operational needs.

Qualifications

  • Bachelor’s in Electrical Engineering or equivalent STEM discipline.
  • Minimum 2+ years of relevant experience.
  • Experience with C++ and C development.
  • Experience scripting in Python.
  • Experience working with XKS and DX.
  • Active TS/SCI clearance with polygraph.

Responsibilities

  • Develop, design, deliver, and operate solutions to challenging cryptologic computer science problems
  • Derive solutions from forensic analysis, attack attribution, and protection of critical networks
  • Support active and passive systems through knowledge discovery and mission-focused computer science innovation
  • Contribute to cryptologic mission support by applying advanced technical expertise to evolving operational needs

Skills

C++
C
Python
XKS
DX
Security clearance TS/SCI with poly

Education

Bachelor’s in Electrical Engineering or equivalent STEM

Job description

AeroVironment, Inc. is seeking a Cryptologic Computer Scientist to provide critical technical expertise for advancing cryptologic operations in national security.

The role entails developing, delivering, and operating innovative computer science solutions for complex challenges. Responsibilities include deriving solutions from forensic analysis and protecting critical networks, supporting active and passive systems, and applying advanced expertise to evolving operational needs.

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