Embedded Security / Pen Testing Engineer

What We Are Looking For

Experience & Education

·Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Computer Engineering, or a heavily related technical discipline.

·Proven experience in applying AI/ML techniques to cybersecurity challenges, such as intelligent fuzzing, anomaly detection, or securing machine learning systems.

·3+ years of hands-on experience in penetration testing, vulnerability research, or reverse engineering, specifically focused on automotive embedded systems, IoT devices, or specialized custom hardware.

Deep Technical Expertise & Certifications

·Deep understanding of automotive E/E architectures, RTOS (e.g., QNX, VxWorks, AUTOSAR OS), and POSIX-based systems (Automotive Linux).

·Familiarity with automotive microcontrollers (e.g., Infineon AURIX TriCore, Renesas RH850, ARM Cortex-R/M) and hardware security modules (HSM/SHE).

·Strong grasp of industry-standard cybersecurity regulations and frameworks, specifically ISO/SAE 21434, UNECE WP.29 R155, and MITRE ATT&CK.

·Knowledge of common machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and their application in a security context.

Understanding of adversarial ML concepts and defenses.

·Preferred Certifications: OSCP, OSCE, OSWE, eCPTX, GXPN, or specialized automotive/IoT security certifications.

Programming & Tooling Proficiency

·Proficiency in scripting and low-level programming languages such as Python, C/C++, Bash, or Assembly (ARM/x86/TriCore).

·Experience with data science and machine learning libraries within Python (e.g., Pandas, NumPy).

·Extensive hands-on experience with hardware/software testing tools (e.g., Oscilloscopes, Wireshark, Burp Suite, GNU Radio, Binwalk).