Embedded Security Researcher

PlaxidityX is looking for a brilliant Embedded Security Researcher to join our elite team. I

n this role, you will combine offensive research with product innovation.

You will conduct in-depth research and penetration testing on Automotive ECUs , uncovering vulnerabilities at both the hardware and software levels.

Additionally, you will act as the "Red Team" for our vehicle protection systems , simulating sophisticated attacks to ensure our detection capabilities stay ahead of global threats.

What You’ll Do

• ECU & Low-Level Research: Conduct deep-dive security research into Automotive Electronic Control Units (ECUs).
• Automotive Offensive Research: Analyze automotive protocols and architectures to identify, develop, and implement end-to-end attack vectors.
• Red Teaming: Serve as the internal adversary for our vehicle protection products . You will execute attacks to validate detection efficacy and provide the offensive "ground truth" needed to improve our security logic.
• Collaborate with Data Scientists: Work closely with our Data Science teams to fine-tune AI-based detection features , helping to translate complex exploit behaviors into actionable data features.

Requirements

• Offensive Mindset: Proven experience in exposing and exploiting vulnerabilities in complex systems.
• Embedded Expertise: Hands-on research experience with embedded/low-level systems .
• Network Communication Expertise: Deep understanding of the logic and vulnerabilities within network protocols and the ability to implement functional attacks against them.
• Security Fundamentals: Strong grasp of cybersecurity principles, including cryptography.
• Programming: Strong scripting and development skills in Python (for research/tooling) and C/C++ (for exploit development).
• Execution: A "get-things-done" attitude; self-driven and thrives in fast-paced, problem-solving environments.

Advantages

• Data Science & AI: Experience working with data teams, understanding of feature engineering, or experience fine-tuning AI models based on security domain expertise.
• OS Internals: High level of expertise in Linux / QNX / Android internals (both user and kernel space).
• Product Security: Experience building or testing Intrusion Detection/Prevention Systems (IDS/IPS) or EDR/XDR platforms.
• Automotive Knowledge: Understanding of automotive-specific protocols (CAN, Automotive Ethernet, UDS, etc.) and the ability to implement functional attacks against them.