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Trace3

Performance Assessment Engineer (26-240)

Huntsville, AL$105k–$122.4kmidAdded today

About this role

Trace3 seeks a Performance Assessment Engineer to analyze and optimize system performance for a defense program in Huntsville, AL. You'll develop analysis tools, detect performance regressions, and partner with cross-functional teams to translate technical findings into actionable improvements.

What you'll do

  • Develop software tools for performance data post-processing, analysis, and visualization
  • Monitor program updates and analyze results to identify regressions from code changes
  • Perform in-depth performance analysis using Technical Performance Metrics (TPMs) and Special Interest Items (SIIs)
  • Evaluate system performance across timing, track quality, discrimination accuracy, and related metrics using large datasets
  • Conduct deep-dive investigations with cross-functional teams and present findings to stakeholders
  • Act as technical liaison between analysts and developers, converting analysis into development tasks

What they're looking for

  • Software engineering and development
  • Programming (Java, C++, Python, or similar languages)
  • Database management and data communications
  • Statistical analysis and hypothesis testing
  • DevOps tools (Jenkins, HTCondor, GitLab)
  • Microsoft Office (PowerPoint, Word, Excel)
  • Systems engineering for DoD information systems
  • Data visualization and presentation skills

Benefits

  • Competitive salary range $105,000–$122,400
  • Full-time, on-site position in Huntsville, AL
  • Work with a 1,200+ person transformative IT company
  • Opportunity to grow career in dynamic, startup-like culture
  • Collaborate on cutting-edge defense technology projects
  • Supportive, team-oriented work environment

Likely interview questions

  • Walk us through your experience developing analysis tools—what languages and frameworks did you use, and how did you approach visualization requirements?
  • Describe a time you detected a performance regression in a system. How did you investigate it and communicate findings to the development team?
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