Lead Kernel Developer – Windows Networking, WFP

• Lead the architecture, development, debugging, and maintenance of Windows kernel-mode and user-mode components, focused on Windows network drivers and WFP
• Design and optimize solutions for high-speed and high-throughput networks
• Investigate and resolve kernel, networking, performance, compatibility, and interoperability issues, including BSODs, race conditions, deadlocks, memory corruption, and leaks
• Drive issues from root-cause analysis through implementation, validation, and production
• Collaborate with other engineering teams and contribute to Windows-specific and cross-platform architecture and interface design
• Maintain and improve the Kernel Team’s codebase, drivers, and components
• Perform reverse engineering and low-level analysis with security analysts, malware researchers, and reverse engineers
• Use WinDbg/KD, ETW/WPP, crash dump analysis, profiling, tracing, and diagnostic tools
• Leverage AI-assisted engineering tools for development, code analysis, debugging, reverse engineering, investigation, trace/log analysis, and technical research
• Provide technical leadership by breaking down work, assigning tasks, coordinating distributed developers, and supporting delivery across locations
• Share expertise through technical discussions, code reviews, and documentation
• Communicate progress, technical challenges, risks, dependencies, and critical issues to the Kernel Team Director of Development

• 10+ years of hands-on Windows kernel development
• Strong expertise in Windows internals, networking, synchronization, memory management, and kernel debugging
• Strong C/C++ systems programming skills
• Expertise in Windows kernel drivers, WinDbg/KD, ETW/WPP, crash dump analysis, and profiling
• WFP/NDIS experience or willingness to develop expertise in these areas
• Experience developing and optimizing performance-critical kernel components
• Understanding of concurrency, scalability, latency, resource efficiency, reliability, and system stability
• Strong background in cybersecurity, endpoint protection, or other security-focused technologies beneficial
• Practical reverse engineering and low-level analysis skills
• Strong analytical and troubleshooting skills across kernel, networking, hardware, virtualization, and user/kernel boundaries
• AI-assisted engineering experience is mandatory, including practical use of AI for development, debugging, code analysis, investigation, and technical research
• Ability to take technical ownership, lead complex investigations, coordinate work across teams, and share technical expertise
• Experience with Linux, macOS, or other low-level platforms is a strong advantage
• Excellent English communication and cross-functional collaboration skills
• Resume and application must be submitted in English

• All employment offers contingent upon successful completion of applicable criminal, education and identity background checks
• Equal opportunity employment