Sr Staff Machine Learning Engineer (ADEM) Job at Palo Alto Networks (Santa Clara)

Job Description

The ADEM engineering team is the engine of innovation at Palo Alto Networks. We don't just follow industry trends; we create them. As a Principal Engineer focused on the Agent, you will be at the center of this mission, tackling 'impossible' problems in scale, security, and performance at the most critical point: the user's endpoint. We look for leaders who are comfortable in deep ambiguity, possess an insatiable curiosity, and are driven to build technology that protects the digital way of life for the world's largest enterprises.

Job Responsibility

Define the long-term architectural vision for the ADEM Agent across Linux, Windows, macOS, and mobile platforms, ensuring robust performance, minimal resource consumption
Lead the 'Design Review Board' for all Agent-side features, ensuring all components adhere to Secure AI by Design, operate with high-availability patterns in diverse OS environments, and maintain a low CPU/memory footprint
Drive the evolution of the Agent's telemetry collection and processing pipeline, optimizing for low-latency, encrypted data transfer and ensuring resilience in low-bandwidth or disconnected environments
Partner with Product Management, Core Infrastructure, and Security teams to translate ambiguous business requirements into robust, high-performance technical specifications for the client software
Act as a force multiplier by mentoring Staff and Senior engineers, fostering a culture of rigorous platform-specific testing, high code quality, and proactive technical debt management within the Agent codebase
Serve as the ultimate technical escalation point for complex, systemic production issues related to endpoint stability or performance, leading post-mortems that drive permanent architectural improvements in the Agent

Requirements

6+ years of software engineering experience, with a significant portion dedicated to designing and operating complex, resource-constrained client-side or endpoint software in a large-scale deployment
As a leader in engineering efficiency, you must be an expert in leveraging AI-powered development tools—including Claude Code, Cursor, Windsurf, and GitHub Copilot—to radically accelerate the SDLC and automate complex refactoring and testing workflows
Proven track record of architecting and shipping production-quality software for multiple operating systems (Windows, macOS, Linux) with a deep understanding of OS internals, networking stacks (L3-L7), and system performance tuning
Coding Rust, or Go (Golang) for high-performance client development is required
BS/MS/PhD in Computer Science or a related technical field, or equivalent high-level professional experience.

Nice to have

Deep authoritative knowledge of endpoint security mechanisms (e.g., integrity checks, sandboxing, driver development) and the ability to design agents that are resilient to tampering while maintaining a minimal security posture
Experience building robust, secure, and resource-efficient data collection and buffering mechanisms within an agent, utilizing technologies for local data persistence and secure transfer
Deep understanding of Zero Trust architecture principles applied at the endpoint, L3-L7 networking interception, and advanced encryption standards to ensure the ADEM Agent remains the most secure platform in the industry
A history of contributing to open-source projects (e.g., related to system monitoring, networking drivers) or speaking at industry conferences is highly desirable
Prefer coding in C/C++

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Sr Staff Machine Learning Engineer (ADEM)

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