Radiancetech

Radiancetech

Division Manager – Threat Vulnerability and Triage Division

Huntsville, AL

Sponsorship not specifiedDetected 5 days ago
ResearchLeadershipCommunication

About the role

  • The candidate will assist in analyzing weapon systems, software development, and vulnerability research.
  • This position requires deep knowledge of reverse engineering principles, vulnerability analysis, and weapon systems.
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Responsibilities

  • Perform daily timecard functions.
  • Implement personal improvement plans as necessary (HR can support).
  • Coach employee-owners and develop career path/ individual development plans (emphasize acquisition skills).
  • Interface with customer to ensure Radiance exceeds expectations/ always improving (assist PM to drive communication with Monthly Status Report).
  • Perform mid-year and end-year performance appraisals.
  • Perform software reverse engineering tasks
  • Support a cross-functional team of domain experts helping correlate all findings into an overall vulnerability assessment of the target

Requirements

  • Master's degree
  • Previous leadership experience

Skills

  • Previous experience in software reverse engineering
  • Previous experience leading technical teams in weapon system analysis
  • Excellent communication and coordination skills across functional teams.
  • U.S. Citizenship with active Top Secret with SCI.
  • Required Experience:
  • Bachelor's degree in Computer Science, Computer Engineering, or related fields.
  • At least 7 years of experience supporting threat system analysis or reverse engineering

Company info

  • Documentation and briefing of all findings to customers

Visa & Work Authorization

  • Citizenship with active Top Secret with SCI

This listing is sourced directly from Radiancetech's careers page and normalized into a canonical job model.