Software Engineer, Rust Acceleration in Production

Socket.dev; New York (NY); On-site; USD 174,000 - 252,000; Full time

Job summary

Google Cloud is seeking a software engineer to work on Rust acceleration in production within the Infrastructure team. You will collaborate on interop between C++ and Rust, prioritize dependencies, and drive library migrations in line with technical and business requirements.

The role focuses on designing a Rust implementation of dependencies for low-level systems software and planning a safe migration path that meets customer needs.

Qualifications

• Bachelor’s degree or equivalent practical experience required.
• At least 5 years of software development experience and solid CS fundamentals.
• Strong understanding of data structures, algorithms, and software design.

Responsibilities

• Work on Rust Acceleration in Production - Infrastructure Team with C++/Rust interop.
• Coordinate with owners to ensure rewrite design and ownership transfer.
• Design the Rust implementation of dependencies for low-level systems software.
• Plan and execute a migration path aligned with customer needs and safe rollout.

Skills

5 years of software development

CS, data structures, algorithms, and软件

Education

Bachelor’s degree or equivalent practical experience

Tools

C/C++

Rust

google3 development

Job description

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in software development.
• Experience in computer science, data structures, algorithms, and software design.

Preferred qualifications:

• Experience programming in C or C++.
• Experience with programming language design or compilers.
• Experience working with Rust.
• Proficiency with google3 development and an understanding of its infrastructure landscape, or the Rust OSS ecosystem of infrastructure components.

About the job:

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.

Responsibilities:

• Work on Rust Acceleration in Production - Infrastructure Team alongside the broader Core Rust team (C++/Rust interop, platform, library development experience, and AI tooling), and partner to prioritize the selection of dependencies and deliver library migrations in accordance with technical and business requirements.
• Align with the owning parties, ensure they participate in the rewrite design and implementation, and ensure that they will be prepared to take full ownership.
• Design the optimal end state of a Rust implementation of the dependency, relying on the requirements, goals, and shape of a Rust software ecosystem specialized for low-level systems software when developing this design.
• Design and execute on the migration path, grounded in customers' needs.Consider the preferred code migration approach, the desired level of intellectual control of the codebase, and safe rollout constraints.