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Principal Engineer, Memory Safety and Agentic Modernization

Job in Seattle, King County, Washington, 98101, USA
Listing for: Google
Full Time position
Listed on 2026-09-01
Job specializations:
  • Software Development
    Software Architect, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 307000 - 427000 USD Yearly USD 307000.00 427000.00 YEAR
Job Description & How to Apply Below

Principal Engineer, Memory Safety and Agentic Modernization

As a Principal Engineer for Memory Safety and Agentic Modernization, you will serve as the premier technical authority and single point of contact (PoC) for Google Cloud's virtualization memory safety strategy and AI-driven agentic coding practices. You will lead the architectural strategy to transition the foundational virtualization stack and core data plane and management daemons from C/C++ to secure-by-design Rust, focusing on enhancing the security and resilience of the virtualization stack generally.

In this role, you will be responsible for orchestrating these migrations across a massive compute fleet, mitigating high-stakes guest-to-host escapes and insider threat vectors, and ensuring near bare-metal performance and absolute reliability for mission-critical enterprise workloads. Crucially, you will drive agentic coding workflows—partnering with infrastructure AI teams to design, evaluate, and scale agentic code transformation, including C++-to-Rust code translation, automated code generation and refactoring, and AI-assisted behavioral test synthesis.

You will also lead the incorporation of advanced formal verification tools (e.g., Lean, TLA+, Verus) to prove program correctness.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $307000 - $427000 (USD) + 30% bonus target + equity + benefits.

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