Develop, optimize, and maintain static analysis capabilities (PE, Authenticode, YARA).
Manage ML inference pipelines across products.
Own dynamic analysis environment, including Windows VM lifecycle on KVM.
Read, troubleshoot, and enhance C/C++-based analysis components.
Improve detection with new engines and broader file-type coverage.
Investigate production detection issues and sandbox-related problems.

🎯 Requirements

8+ years software engineering; BS in CS/Engineering.
6+ years with MS; 3+ years with PhD.
Strong Python development, multithreading, performance tuning.
C/C++ proficiency; read, debug, modify compiled components.
Static analysis: PE, code-signing, YARA, macros, PDFs.
ML in production: PyTorch, LightGBM, scikit-learn, ONNX.

🎁 Benefits

Equal opportunity employer.
Diverse, inclusive work environment.
Global presence in 100+ countries.

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