Senior Malware Researcher

At Dream, we redefine cyber defense vision by combining AI and human expertise to create products that protect nations and critical infrastructure. This is more than a job; It’s a Dream job. Dream is where we tackle real-world challenges, redefine AI and security, and make the digital world safer. Let’s build something extraordinary together.

Dream's AI cybersecurity platform applies a new, out-of-the-ordinary, multi-layered approach, covering endless and evolving security challenges across the entire infrastructure of the most critical and sensitive networks. Central to our Dream's proprietary Cyber Language Models are innovative technologies that provide contextual intelligence for the future of cybersecurity.

At Dream, our talented team, driven by passion, expertise, and innovative minds, inspires us daily. We are not just dreamers, we are dream-makers.

The Dream Job:

As a Senior Malware Researcher, you will analyze and reverse engineer malware and tooling used by advanced threat actors, particularly those targeting governments and critical infrastructure. You will apply deep expertise in binary and script analysis to uncover capabilities, configurations, and C2 infrastructure for threat actor attribution and mitigations.

Your work will power DREAM’s malware catalog, strengthen our understanding of threat actors’ technical capabilities, and directly support the development of next-generation AI-driven "artificial cyber researchers".

The Dream-Maker Responsibilities:

• Perform in-depth static and dynamic analysis of malware, implants, loaders, and related tooling used by APTs and other sophisticated adversaries.
• Reverse engineer binaries and scripts (e.g., PE, ELF, .NET, PowerShell, JavaScript/VBA) to determine capabilities, execution flow, persistence mechanisms, and evasion techniques.
• Extract and document configuration data and C2 information, and map these to campaigns, infrastructure, and threat actors in collaboration with CTI researchers.
• Develop and maintain detection and hunting artifacts such as YARA rules, VT LiveHunt queries, CAPA rules, and sandbox behavior signatures.
• Work closely with CyberAI researchers on the development of next-generation artificial cyber researchers and AI-driven analysis capabilities.
  
  

• 7+ years of experience in cyber security, with significant hands-on experience in malware research focused on APTs and state-linked actors.
• Strong proficiency with RE tools such as IDA Pro, Ghidra, x64dbg/WinDbg, and common dynamic analysis/sandbox environments.
• Deep understanding of OS internals (Windows/Linux/Android/Mac), common persistence and execution techniques, and modern offensive tradecraft.
• Demonstrated experience extracting configs, C2 endpoints, and capabilities from both compiled and scripted malware.
• Strong investigative mindset, attention to detail, and ability to work with incomplete or obfuscated data.
• Experience researching or defending government or critical infrastructure organizations- Advantage.