GPU System Software Engineer
GoogleSunnyvale, CA, USA
- Role type
- Experienced
- Track
- Software
- Experience
- 8+ yrs
- Pay
- $207k–$300k
- Posted
- · first seen Oct 26, 2026
This posting does not say whether the role sponsors visas. Unconfirmed means unknown, not no. Ask the recruiter early.
The first label is what this posting says; the H-1B filer note is Google's USCIS H-1B history: petitions the employer has filed, which is context, not a promise that this role sponsors.
Job description
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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write and test product or system development code.
- Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in low level systems programming languages (e.g., C++ or C).
- Experience with existing documentation or educational content based on product/program updates and user feedback.
Preferred qualifications:
- Master's degree or PhD in Computer Science, or a related technical field.
Source: google.com · Listing 115384521410388678
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