Principal Software Engineer, Endpoint AI Framework (Hybrid)
Crowdstrike
Principal Engineer, Endpoint AI Learning Framework
CrowdStrike's Sensor Security Platform team builds foundational security capabilities for Crowstrike's Falcon sensor, which runs on over 50 million endpoints worldwide. We are significantly expanding our AI and machine learning capabilities on the endpoint.
We are seeking a principal engineer to help define our endpoint AI learning framework. The person who fills this role will help us deliver new security capabilities on the endpoint by leveraging deep learning and machine learning. This job is not about securing AI agents themselves - it is about using AI running on the endpoint as a tool for endpoint security. The Falcon product operates on the endpoint with high reliability and little system impact. As we introduce new ML and AI on the endpoint, we need to maintain our light footprint as well as deliver improved security outcomes.
This role is for a senior individual contributor, but also a technology leader where you will help build a team to support these tools. You will help expand our use of hardware acceleration to open new horizons for how AI can be used in endpoint protection. You will work closely with our in-house data scientists, security researchers, and endpoint engineering teams. This is an opportunity to help shape CrowdStrike's next generation of endpoint machine learning capability.
Location: This role is a hybrid role, working out of one of the posted locations: Sunnyvale, CA; Redmond, WA; Austin, TX requiring 2 days per week in office to foster collaboration with others within the organization. For Austin, TX Location: This role will be hybrid, requiring 2 days per week in office once the development center is opened/established.
What You Will Do:
- Work with stakeholders in data science, endpoint engineering, and product groups to define the capabilities for a next generation endpoint AI framework for our falcon sensor.
- Lead development of that framework as an individual contributor; architect; and thought leader.
- Lead technology direction for a highly performant and cross platform model delivery framework.
- Design interfaces which our models will use to interact with our falcon sensor, which runs on millions of Windows, Linux, and macOS endpoints worldwide.
- Define resource utilization limits and optimize solutions to provide AI powered security on the endpoint while maintaining our agent's lightweight footprint.
- Define approaches for testing (efficacy, regression, performance). Define approaches to produce repeatability with testing, while operating with runtime (vs static) data.
What You'll Need:
- Leadership experience developing and delivering ML and AI models.
- Understanding of common AI platform technologies, such as ONNX, OpenVino, or others.
- Experience working with runtime data and in a high performance environment.
- Familiarity with AI hardware acceleration using the NPU or GPU.
- Strong endpoint development experience on at least one of our major platforms - Windows, Linux, or macOS. Windows platform experience, including kernel development, is preferred but not required.
- Strong C/C++ development experience.
- Experience with systems level programming.
- Ability to work with teams crossing organizational boundaries.
- Track record of owning solutions from design phase through post-delivery.
- Record of engineering technology leadership. People management experience is not necessary.
- Experience in the security industry is a bonus but is not required.
$139.9k - $274.8k
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