Staff Software Engineer, Machine Learning Borglet GPU Accelerators - Google
Sunnyvale, CA
About the Job
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development in C++, with data structures/algorithms.
- 7 years of experience building and developing infrastructure, distributed systems, networks, or with compute technologies, storage, or hardware architecture.
- 5 years of experience with design and architecture, and testing/launching software products.
Preferred qualifications:
- Experience with system software, distributed systems, and multi-component software systems.
- Experience with the Linux kernel interface, accelerators (e.g., GPUs and TPUs), and containers.
- Experience with GPUs, TPUs, and Accelerators.
- Experience in developing and releasing system software products and C/C++ programming.
- Understanding of key concepts of performance analysis and tuning.
- Passion for reliability, efficiency, and scale.
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 Borglet Accelerators team plays a critical role in Google’s internal infrastructure and new Cloud business by managing growing resources. The team focuses on making impactful contributions to Google's infrastructure.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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
- Design, implement, and analyze low-level computer systems, including accelerators (e.g., TPUs and GPUs), and their interactions with kernel and hardware.
- Collaborate with partner teams as well as users across Google, Machine Learning, Hardware Platform, SRE teams, and Google's internal/Cloud users.
