SAIC

Senior Mission Engineer

SAIC • $110K — $130K *
Colorado Springs, CO 80918In-Person
Aerospace & Defense
5 - 7 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Bachelor's degree in engineering, Physics, Computer Science, Mathematics, or a related field with 5+ years of experience.
  • Active Secret Clearance
  • 3+ years of experience working with radar systems, satellite tracking, missile defense, or related domains.
  • Proficiency with MATLAB and Python for data analysis and tool development.
  • Experience performing root cause analysis on complex engineering systems.

Responsibilities

  • Evaluate system performance by monitoring Technical Performance Measures (TPMs) and Measures of Effectiveness (MOEs).
  • Support Verification and Validation (V&V) of system updates and upgrades.
  • Maintain and enhance standard analysis tools in MATLAB and Python.
  • Perform data aggregation, root cause analysis, and mission impact analysis for system deficiencies.
  • Present and document analysis results to development teams and government customers.

Benefits

  • Collaborative work environment with multidisciplinary teams.
  • Opportunity to work on critical national security projects.
  • Access to advanced modeling and simulation tools.
  • Professional development opportunities in cutting-edge technologies.
Full Job Description
Job Description

SAIC seeks a Mission Engineer to join the GMASS Test & Evaluation team maintaining the UEWR and PARCS Ground Based Radars for the United States Space Force in Colorado Springs, Colorado. These systems track satellites and missiles in support of national security and space domain awareness. The engineer will work both independently and with multidisciplinary teams to evaluate system performance, support system upgrades, and analyze mission-impacting deficiencies.

Job Duties
  • Evaluate system performance by monitoring Technical Performance Measures (TPMs) and Measures of Effectiveness (MOEs), and analyze system requirements to assess operational behavior using modeling and simulation tools.
  • Support Verification and Validation (V&V) of system updates, upgrades, and new implementations for operational integrity and requirements compliance.
  • Maintain and enhance standard analysis tools in MATLAB and Python to support development teams with data and impact analyses.
  • Perform data aggregation, root cause analysis, and mission impact analysis for reported system deficiencies, then implement solutions.
  • Present and document analysis results, corrective actions, and improvement recommendations to development teams and government customers.


Qualifications

  • Bachelor's degree in engineering, Physics, Computer Science, Mathematics, or a related field with 5+ years of experience.
  • Active Secret Clearance
  • 3+ years of experience working with radar systems, satellite tracking, missile defense, or related domains.
  • Proficiency with MATLAB and Python for data analysis and tool development.
  • Experience performing root cause analysis on complex engineering systems.

Desired
  • Experience with missile defense systems and satellite tracking operations.
  • Experience with modeling, simulation, and mission analysis techniques and tools.
  • Knowledge of radar system architectures.


About SAIC

Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
Learn more about SAIC
Size
26,000 employees
Market Cap
$6 billion
Industry
Information Technology
Net Income
$206 million
Founded
1969
5 Year Trend
+10.7%
Revenue
$6.8 billion
NASDAQ
SAIC
* Ladders Estimates

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