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Trace3

Performance Assessment Engineer (26-241)

Huntsville, AL$105k–$122.4kmidAdded today

About this role

Trace3 seeks a Performance Assessment Engineer to analyze and evaluate system performance through developing analysis tools, detecting regressions, and translating technical findings into actionable improvements for DoD programs in Huntsville, AL.

What you'll do

  • Develop software tools for post-processing analysis and visualization of system performance data
  • Track program updates and analyze results to identify performance regressions after 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
  • Collaborate with cross-functional teams on deep-dive performance investigations
  • Translate technical analysis findings into actionable development tasks and create briefing materials for stakeholders

What they're looking for

  • Software engineering and development (Java, C++, or Python)
  • Database management, networking, and data communications
  • Statistical analysis (hypothesis testing, model validation, confidence intervals)
  • DevOps tools (Jenkins, HTCondor, GitLab)
  • Microsoft Office (PowerPoint, Word, Excel)
  • Systems engineering for DoD information systems
  • Technical report writing and presentation skills
  • Computing environments (servers, storage, virtual machines, network architecture)

Benefits

  • Salary range: $105,000 to $122,400
  • Full-time, on-site position in Huntsville, AL
  • Career growth opportunities in a startup-like culture within a scalable organization
  • Work with elite engineering teams on transformative IT solutions
  • Access to professional development and innovation-focused environment
  • Collaborative, team-oriented workplace culture

Likely interview questions

  • Walk us through a time you developed analysis tools to track system performance—what metrics did you focus on and how did you present your findings?
  • Describe your experience with statistical analysis methods and how you've applied hypothesis testing or confidence intervals to validate system performance claims.
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