Security Researcher

An established automotive cybersecurity company that develops cloud-based security and data analytics platforms for connected vehicle ecosystems.

Backed by over $100 million in total funding through Series C from strategic tier-one automotive investors, the company maintains financial stability with a global client base spanning auto manufacturers, insurance providers, and fleet management operators.

The company is located in the Center District ( walk from the train station) and operates on a hybrid model of two days office-based.

Position Overview-

• Cyber Security Researcher operating as the sole offensive vulnerability specialist within a core research group, reporting directly to the CTO.
• Conducting advanced vulnerability research across connected automotive nodes, cloud APIs, artificial intelligence, and IoT devices.
• Analyzing vulnerabilities and execution vectors within web application protocols and specialized internal or external vehicle communication systems.
• Exploring emerging vectors in AI security, focusing on vulnerability patterns in Large Language Models (LLMs) and Model Context Protocols (MCP).
• Developing customized offensive security tools, proof-of-concept exploits, and automated research infrastructure to identify novel threat signatures.

Key Responsibilities-

• Leading security research initiatives to detect architectural weaknesses and zero-day threat vectors across embedded components and backend clouds.
• Reversing and analyzing hardware, firmware, and automotive systems to map multi-layered exposure paths.
• Identifying anomalies and building mitigation frameworks for complex APIs and high-risk network topologies.
• Researching security protocols for connected mobility infrastructure, local transit nodes, and cellular telemetry layers.
• Authoring technical documentation and threat models to guide product teams on core system hardening and countermeasure development.

Requirements-

• 4 years of professional experience operating as a Security Researcher (Mandatory).
• B.Sc. in Computer Science/Engineering or equivalent technical training from elite military intelligence units (Mandatory).
• Strong domain experience in network security or application security architectures (Mandatory).
• Proven technical track record in IoT, embedded firmware, or API security research (Mandatory).
• Hands-on development proficiency using Python or alternative high-level languages alongside C/C++ or alternative low-level languages (Mandatory).
• Practical experience with automotive electronic architectures, in-vehicle communication buses (CAN, Automotive Ethernet), or reverse engineering is a strong advantage.