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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in software development.
- Experience with system programming and debugging.
- Experience in leading and managing teams or projects.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- Experience in developing software that interacts with hardware.
- Experience in developing software for data center automation.
- Experience with the Linux operation system.
- Experience in developing software for High Performance Computing (HPC) manufacturing.
About the jobGoogle 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.
In this role, you will perform research, design and development for the hardware, software and networking technologies that power all of Google's products and services. You will work on solutions to deliver the next generation compute, storage and networking products for the Google worldwide data centers.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
- Lead members to enhance the diagnostic infrastructure and manage the multiple tasks and projects for self and other members.
- Keep the Google test fleet in perfect shape and maximize its usage.
- Design, plan, implement and debug for diagnostic tools in Google Cloud platform for New Product Introduction (NPI) projects.
- Design, plan, implement and debug for diagnostic infrastructure and provide technical support.
- Enhance the quality, performance processes or coverage of the diagnostic tool or utility of Google Cloud Platform (GCP).
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
