Staff Software Engineer, GPU, Platforms Infrastructure Engineering
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products.
- 5 years of experience working with embedded operating systems.
- 3 years of experience with software design and architecture.
- Experience with C, C++, Linux Drivers, Firmware, Embedded Systems, GPU Programming, Systems Infrastructure, Data Centers, Linux Kernel, Release Engineering, Release Management, Integration Testing, Continuous Integration, Continuous Build, and Continuous Test.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in an matrixed organization involving cross-functional, or cross-business projects.
- Experience with generating BI like dashboards.
- Experience in developing tools, automation and tests to ship quality systems and test driven development methodology as well as Integration testing.
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 GPU System Software team is responsible for building a platform that will power Google services and machine learning. GPU compute platforms enable Google services like Search, Ads, Google Cloud, DeepMind, etc to the GPU compute resources. The team develops the system software, firmware, tools, and tests to bring GPUs to Google's compute infrastructure.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
The US base salary range for this full-time position is $197,000-$291,000 + 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.
Responsibilities
- Enhance CI/CD pipelines to enable component level testing for GPU Firmware/Software stacks, control plane firmware, etc., as part of the overall release workflow.
- Drive clear entry/exit criteria and KPIs for software releases. Hold the stop-ship card for releases coming out of our organization.
- Facilitate releases and test results with analytics.
- Oversee the deployment of software artifacts within committed, to the fleet and manage any deviations, regressions with minimal to no impact to the fleet.
- Contribute and influence the design, development and testing of the software artifacts owned by the organization along with building tools for automating diagnostics and debugging.
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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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