Systems Safety Engineer, Command & Control (C2)

What you'll do

• Own end-to-end systems safety for C2 software and its interfaces with sensors, effectors, and autonomous platforms.
• Lead the gathering, decomposition, and traceability of safety requirements across cross-functional teams.
• Architect and execute performance-characterization campaigns for safety-critical software behaviors using simulated and field-testing data.
• Conduct and document formal safety analyses including FHA, FTA, FMEA/FMECA, PHA, SSA, and CCA.
• Quantify software-driven performance metrics like false-track rates and latency to develop risk assessments and mitigation strategies.
• Validate compliance with government requirements and represent the company at safety review boards and design reviews.
• Develop test plans, acceptance criteria, and modeling frameworks to evaluate system safety and algorithmic performance.
• Integrate safety disciplines directly into the development lifecycle alongside algorithm and software engineering teams.

What we're looking for

• 5+ years of experience in systems safety, systems engineering, or safety-critical software engineering.
• Degree in Engineering, Physics, Computer Science, Mathematics, or a related field.
• Demonstrated application of MIL-STD-882 (preferably 882E) across a defense program lifecycle.
• Hands-on experience performing Fault Tree Analysis (FTA) and at least two of: FHA, FMEA/FMECA, PHA, SSA, or CCA.
• Proficiency in requirements engineering including decomposition, traceability, and verification/validation.
• Experience validating safety and performance requirements through analysis, simulation, HITL/SITL, and field testing.
• Proficiency with Python (and/or MATLAB) for data parsing, modeling, simulation, and visualization.
• Must be authorized to work in the United States.
• Experience applying MIL-STD-882 to software-intensive or AI/ML-enabled systems (preferred).
• Prior systems safety work on C2, battle management, air & missile defense, counter-UAS, or autonomous systems (preferred).
• Familiarity with MBSE using e.g. AFSIM, and confident applying Monte Carlo analysis (preferred).
• Familiarity with Linux OS and comfort obtaining data from software platforms using command-line tools (preferred).
• Working knowledge of C/C++ or Rust (preferred).
• Understanding of the full software development lifecycle, CI/CD, and modern software safety practice (preferred).
• Previous experience in a defense, aerospace, or naval environment (preferred).
• Experience with radar, tracking systems, sensor fusion, distributed systems, or ML/AI systems (preferred).