Software Engineer, AI Powered Rust
Indexed description
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in C++ or Rust.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 1 year of experience using or developing AI tooling for software development.
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
Rust is a modern programming language for building memory safe software that can match C++ in performance and resource efficiency. It's a critical component of Google's long-term goal to increase adoption of memory safe languages across the company. We empower Googlers to be productive by providing developer tools, services, and support for the languages that underpin Google's core products and services.
In this role, you will be building and leveraging AI to translate C/C++ code to Rust. You will contribute to a critical foundation for Google’s future, ensuring that we can scale memory safety rapidly and efficiently while maintaining the performance, reliability, and usability our products demand.
Responsibilities
- Develop and refine agentic workflows that automate the large-scale migration of C/C++ codebases to idiomatic, memory-safe Rust.
- Collaborate with the wider Rust team on C++/Rust interop, developer tooling, and AI benchmarks. Design multi-agent harnesses for automated code translation, self-review, verification, and performance analysis.
- Design strategies for evaluating the output quality of agentic code generation, automatically distilling eval examples where the tooling fails today, and fixing quality problems. Implement advanced verification workflows, including differential fuzzing and formal verification, to guarantee bit-identical behavior with legacy 3P C/C++ libraries.
- Optimize AI-generated Rust code for performance and resource efficiency, leveraging benchmarks to guide translation, then level-up these optimizations into the tooling.
- Collaborate with key teams and individuals in the AI and programming language spaces to evolve our translation tooling, and incorporate the latest techniques.
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