Sr. Sensor Engineer - Data Protection (Hybrid)
About the role
The Senior Windows Kernel Developer will design and develop data protection-focused functionality spanning kernel-mode components, including Windows filesystem minifilter drivers, and user-mode components on Windows systems. They will implement new data protection capabilities across a growing set of data access and transfer scenarios on the endpoint. They will also build and maintain AI-aware detection and protection logic, accounting for the ways AI agents and tools interact with sensitive data on the endpoint. They will own features from design to delivery, including post-ship support and customer issue resolution. They will collaborate with multi-functional teams across various physical locations and leverage AI-assisted development tools to improve engineering productivity and solution quality.
Responsibilities
- Design and develop data protection-focused functionality spanning kernel-mode components, including Windows filesystem minifilter drivers, and user-mode components on Windows systems
- Implement new data protection capabilities across a growing set of data access and transfer scenarios on the endpoint
- Build and maintain AI-aware detection and protection logic, accounting for the ways AI agents and tools interact with sensitive data on the endpoint
- Own features from design to delivery, including post-ship support and customer issue resolution
- Collaborate with multi-functional teams across various physical locations
- Leverage AI-assisted development tools to improve engineering productivity and solution quality
- Other projects as assigned
Requirements
- Degree in Computer Science (or professional experience in kernel mode/user mode development on Windows in C/C++)
- Ability to develop high-quality code in C++
- Windows filesystem minifilter driver development experience
- Experience developing across both kernel mode and user mode on Windows, with a strong understanding of kernel-to-user space IPC best practices
- Understanding of the Windows filesystem filter model, the basics of local and remote filesystem implementations, and the corresponding interfaces at the filesystem minifilter level
- Experience with kernel-level debugging processes and tools
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes
Nice to have
- Familiarity with AI agent ecosystems and how AI-driven tools interact with the filesystem and operating system at a behavioral level
- Experience with or interest in AI-assisted development workflows, including agentic coding tools such as Claude Code
- Experience in the security industry, particularly in endpoint or data security
Qualifications
- Experience with or interest in AI-assisted development workflows, including agentic coding tools such as Claude Code
- Experience in the security industry, particularly in endpoint or data security
Skills
- Strong C/C++ programming skills
- Experience with Windows kernel/user mode development
- Understanding of the Windows filesystem filter model and its interfaces
- Experience with kernel-level debugging processes and tools
- Experience with AI technologies and their integration into software development
Benefits
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world-class amenities
- Great Place to Work Certified™ across the globe
Pay
$140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.
Schedule
Hybrid role based out of our offices in Sunnyvale, CA, Redmond, WA, Austin, TX, or NYC, NY (once the development center is established).