Staff Software Engineer, Borglet
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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, and 3 years of experience with software design and architecture.
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Preferred qualifications:
- Experience with system software, distributed systems, and complex multi-component software systems.
- Experience in developing and releasing system software products and C/C++ programming skills.
- Knowledge of basic data analysis and SQL skills.
- Understanding of key concepts of performance analysis and tuning.
- Familiarity with the Linux kernel interface, and containers with passion for reliability, efficiency, and scale.
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.
Our team builds a high-performance, reliable and efficient Borglet for Google Cloud, Compute and ML usecases. We are part of the broader Borglet team, Google's node management agent. We are a strong, systems-heavy team that works closely with Borg cluster management software, the kernel, with Hardware (HW) platforms and user applications. This places us in a key position in infrastructure projects and has enabled us to play a critical role in our fast-growing Google Cloud business.
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.
Responsibilities
- Serve as Technical Lead of a team of engineers focused on designing, implementing, and analyzing low-level computer systems and their interactions with the kernel and hardware.
- Collaborate with partner teams and users across Google (e.g., Borg team, ML teams, HW platform teams, SRE teams, Google Cloud, etc).
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