Sobre este puesto de Research Engineer (f/m/d) en Sonarsource
Position description
At Sonar, we are seeking an innovative Research Engineer to join our Data & Agentic team and pioneer the next generation of our code analysis and verification engines. You will be at the forefront of applying cutting-edge AI, advanced agentic workflow and static analysis techniques to complex source code. Your work will directly shape our core products—ensuring both AI-generated and developer-written code meets rigorous enterprise quality and security standards. If you are driven to turn state-of-the-art research into practical, high-impact solutions, this is the role for you.
What you will do
Experience and qualifications
Must have:
Advanced academic background in Computer Science, Machine Learning, or a related quantitative field.
Strong software engineering experience (minimum 2+ years in industry) with proficiency in Python and major modern programming languages.
Practical experience with modern agentic frameworks, software automation tools, and LLM architectures.
Experience of driving research projects from initial ideation to a demonstrable prototype with a high degree of autonomy.
Hands-on experience integrating third-party tools, program analysis frameworks, or open-source libraries into functional prototypes.
Proven experience in data handling: constructing high-quality datasets, defining objective success metrics, and building robust benchmarks for new solutions.
The ability to fast context-switch and maintain momentum across multiple concurrent, fast-moving research topics.
Excellent communication skills in English, with a talent for translating complex research findings into clear, actionable artifacts for product engineering squads.
Plus:
Background in static analysis: abstract syntax trees (ASTs), code security, bug detection, etc..
Familiarity with LLM techniques such as model fine-tuning, semantic search engines, etc.
Experience with large-scale data processing frameworks and cloud infrastructure (e.g. AWS).
