Research and develop next-gen code analysis and remediation algorithms
Work hands-on with GenAI models and integrate them into detection workflows
Tackle complex software analysis problems (e.g., call graphs, control/data/taint flow analysis)
Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to prototype, validate, and productize your innovations
Design and implement machine learning and algorithmic solutions for code analysis
Build GenAI-powered developer tools for static and semantic code analysis
Enhance our existing detection infrastructure with intelligent, context-aware insights
Translate cutting-edge research into practical, scalable product features

MSc in Computer Science (or related field) from a top-tier institution – Big Advantage
3+ years of software engineering experience, with strong proficiency in Python (primary) and familiarity with Java / C++ / JavaScript codebases.
Hands-on experience with LLMs / GenAI systems, including prompt engineering, inference optimization, and model evaluation.
Experience designing LLM-driven pipelines (agentic or tool-augmented), including:
Structured outputs (JSON schemas), Multi-step reasoning/verification flows
Excellent communication and collaboration skills – Must

Code Analysis Engineer

Key skills