Senior Windows Kernel Engineer- Detection

Description:

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. 

We are looking for a Senior Windows Engineer who is passionate about software design, code quality, and performance. You'll be part of our Detection group, which means that you'll work on our EDR product. The role includes developing for the Windows kernel to collect the necessary data as well as writing user-mode code for integrating the kernel driver into our sensor’s architecture.

• Write production-grade C/C++ code to create robust and high-performance software drivers and applications for Windows.
• Investigate possibly undocumented system behavior to enable product features or to resolve software issues.
• Optimize code for maximum efficiency and resource utilization, ensuring the smooth operation of our solutions.
• Collaborate closely with operating system internals to gather essential data for analyzing abnormal behavior on endpoints.
• Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices.
• Work effectively within a team, contributing to a collaborative and innovative development environment.
• Apply your problem-solving abilities to address complex technical challenges in the cybersecurity domains.