Sr. Software Engineer II, AI on Sensor

Join CrowdStrike’s CTIO team and help advance Falcon Host’s next-generation sensor by bringing multiple AI strategies into an integrated capability across macOS, Linux, and Windows. This Sr. Software Development Engineer II role focuses on end-to-end engineering: designing and integrating on-endpoint machine learning, building data pipelines for telemetry, and collaborating across sensor teams to deliver cross-platform software features.

Hybrid location: Ontario, NY. Compensation: USD 194,000 - 349,000 per year.

Why this role

• Market-leading compensation and equity awards
• Comprehensive wellness programs for physical and mental health
• Professional development for employees at every level
• Collaborative global culture with Employee Networks, neighborhood groups, and volunteer opportunities
• Great Place to Work Certified across the globe

What you’ll do

• Partner with sensor development teams across the company on architecture and strategic initiatives
• Conceptualize and develop new product features
• Guide development teams to design and implement software for cross-platform delivery (Windows, macOS, Linux)
• Own features end-to-end, from initial design through final delivery, including presenting product demonstrations at the end of each sprint
• Work with cross-functional teams located in different locations

About the platform

CrowdStrike Falcon Host includes two components: a sensor installed on client machines that observes system activity, recognizes malicious behavior, provides on-box prevention, and sends remote telemetry to the cloud. The cloud component aggregates telemetry per customer network, correlates malicious behavior across machines, and delivers a prioritized summary of detected threats to customers’ operations teams.

What you bring

• C/C++ expertise
• Swift experience required for macOS-focused candidates; Windows OS Kernel and Driver Development experience required for Windows-focused candidates
• Hands-on experience operationalizing machine learning models on the endpoint, including building data pipelines that collect, transform, and deliver sensor telemetry for training, evaluation, and on-device inference
• Extensive fundamental understanding of internals for your primary platform (macOS, Linux, or Windows)
• Proven ability to debug memory corruption issues, process contention, and system performance bottlenecks
• Experience collaborating with teams to deliver major features and releases
• Ability to lead, mentor, communicate, collaborate, and operate effectively within a geographically distributed team

Helpful experience

• Background in developing scalable, lightweight, high-performance systems
• In-depth OS expertise regarding core concepts and subsystems
• Familiarity with Agile methodologies
• Knowledge of security principles
• Experience with eBPF

Key technologies

C/C++, Swift, Windows OS Kernel and Driver Development, macOS, Linux, Windows, machine learning, Agile methodologies, eBPF