Senior Network Security Researcher
Cylus
Tel Aviv-Yafo, Israel
Posted on Mar 13, 2025
About Us
Cylus is the global leader in rail cybersecurity, helping mainline and urban railway companies prevent security incidents and service disruptions caused by cyber-attacks. With over $50M in funding by top VCs and strategic investors, global customers, and strong partnerships with major railway integrators, we make a significant impact on the multi-hundred-billion-dollar global railway industry.
We are looking for a talented Network Security Researcher to join our innovative R&D team. This is your chance to be part of a company at the forefront of rail cybersecurity—hop on board!
In This Role, You Will
- Conduct pioneering security research on rail networks to fuel the company’s core product.
- Analyze active, safety-critical railway network communication to uncover insights that bolster cybersecurity across our deployments and the wider railway sector.
- Develop and refine ML models for extracting security and visibility insights from real-world network traffic.
- Collaborate closely with a vibrant R&D team of experienced engineers and security experts.
- Work hand-in-hand with product and business functions to integrate research findings into Cylus’s solutions.
Requirements
- 3+ years of experience in security research, including network security assessments and protocol analysis.
- 2+ years of programming experience (e.g., Python, C++, or similar).
- Strong understanding of network architectures (Layers 2-7) and the ability to analyze protocols down to the byte level.
- Proficiency with Wireshark and/or other packet-capturing and reversing tools.
- Experience using data analysis tools (e.g., Pandas, JupyterLab, Splunk).
- Independent, fast-paced learner who thrives in a dynamic environment.
Big Plus
- Vast ML background with hands-on experience applying various techniques (e.g., clustering, decision trees, neural networks) to real-world problems, and production environments.
- Track record of developing or implementing anomaly detection algorithms.
Hands-on experience analyzing network communication in critical infrastructure or transportation environments.