Research Fellow (Computer Science / Software Engineering / Artificial Intelligence)
Core
Developing scalable binary analysis frameworks, AI-driven program understanding, and automated security testing pipelines for embedded automotive software systems.
Role type
Research Fellow (Software Engineering / AI / Cybersecurity)
Builds
Industrialized automated open-source component detection and emulation-based fuzz testing technologies for automotive software systems
Domain
Automotive software engineering, embedded systems, cybersecurity
Deliverable
production ML models | infrastructure
Required skills
binary analysis, emulation-based fuzz testing, AI/LLM-based program analysis, vulnerability assessment, Python, C/C++
Preferred skills
academic research track record, publications in reputable venues, experience with embedded MCU and SOC platforms
Technologies
Python, C/C++, LLMs, binary analysis frameworks, fuzz testing frameworks
Responsibilities
Develop and optimize automated binary analysis and open-source component detection systems; Design and enhance emulation-based fuzz testing frameworks for embedded environments; Apply AI and LLM-based techniques to improve program analysis and vulnerability assessment; Support system integration, benchmarking, deployment, and technical documentation
Seniority
Senior, hands-on IC researcher
