Senior Software Engineer, Infrastructure, Silicon Custom Features
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in C++ or Python.
- Experience writing and debugging shell scripts for Linux/Unix environments.
- Experience designing and implementing Continuous Integration (CI) and Continuos Deployment (CD) pipelines.
- Experience optimizing and troubleshooting build processes for software systems.
Preferred qualifications:
- Experience integrating AI/ML models (like Gemini) and designing Human-in-the-Loop (HITL) developer tools, emphasizing feedback loops and AI-assisted workflows.
- Experience with API integrations.
- Experience in build systems and build speed optimization using Bazel, Blaze, CMake, or Make.
- Familiarity working alongside Embedded Systems, Firmware, or Kernel development teams.
- Understanding of hardware/software co-design.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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 gSoC Custom Features (gSoC-CF) team connects Google's internal customers with our custom silicon. Our mission is to ensure that Google's hardware is optimized and ready for massive-scale production. We achieve this through cross-functional partnership, full-stack architectural ownership, and a strong focus on system reliability.
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 channel 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.
The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Architect and maintain scalable CI/CD pipelines targeting custom Google silicon. Optimize build systems to reduce compilation times and improve the day-to-day velocity of the software engineering team.
- Architect developer workflows and pipeline extensions from the ground up to leverage the Gemini API. Design robust HITL systems for automated triage, test selection, and code review that keep engineers in control while continuously learning from their feedback.
- Manage the release engineering process for the gSoC software stack (firmware, kernel, userspace), ensuring high-quality, reproducible builds.
- Mentor less-experienced engineers on CI/CD best practices, and collaborate closely with embedded, firmware, and kernel developers to integrate their code smoothly into automated pipelines.
- Design and deploy comprehensive alerting, monitoring, and dashboarding infrastructure to track the health, performance, and reliability of the gSoC software stack and developer ecosystem.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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