
Software Engineer, PhD, Google Cloud Platform
Google · Posted Nov 7
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
AI Data's mission is to empower Google to deliver innovative, impactful, safe, and compliant AI offerings through high-quality data, infrastructure, and advanced data science. As part of the trust organization, the team builds scalable, automated infrastructure to manage ML assets from development to launch with traceability and auditability. This role is a PhD Software Engineer on Google Cloud Platform, working on hybrid connectivity products and distributed systems for hybrid cloud networking.
What you will do
- Be responsible for design, development, and delivery of product features and components within Google Cloud Platform (GCP) hybrid connectivity products. Drive projects from design to launch with limited oversight.
- Design, and implement highly scalable, reliable, and secure distributed systems for hybrid cloud networking. Make sound technical judgments in ambiguity and proactively identify opportunities for system improvements or new tool development.
- Collaborate across multiple Engineering teams, including Product Management, Site Reliability Engineering (SRE), and other Networking teams within GCP.
- Contribute to team-level technical decisions and participate in broader engineering community efforts such as interviewing and knowledge sharing.
- Ensure the production health, monitoring, and on-call support for hybrid connectivity services. Drive initiatives to improve system reliability, observability, and supportability, potentially leveraging AI/ML for enhanced operational insights.
Skills used in this role
What the employer is looking for
- PhD degree in Computer Science, Electrical Engineering, or a related technical field.
- Experience in software development, with a focus on areas such as large-scale distributed systems, AI/ML, networking, data storage, or security.
- Experience in architecture or development of distributed systems, including concurrency, multi-threading, or synchronization.
- Experience in algorithms, complexity analysis, and system design.
- Experience coding in one of the following programming languages including but not limited to: C, C++, Python Java or Golang.
Preferred qualifications
- PhD degree in Computer Science or related technical field with coding experience in C++/Go.
- Experience architecting and developing large-scale distributed systems.
- Experience in concurrency, multithreading and synchronization and good understanding of networking concepts, protocols (e.g., TCP/IP, BGP).
- Strong problem-solving skills and understanding of algorithms and their level of complexity.
- Strong software and systems troubleshooting and debugging skills.
- Good written and verbal communication skills.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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