Senior Software Engineer, Host Networking, Offloads

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience with software development in C or C++ and with data structures/algorithms.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  
• 3 years of experience with Software-Defined Networking.
• 3 years of experience with network architecture and common protocols such as TCP/IP, UDP, HTTP, and DNS.
• 3 years of experience with Kubernetes networking principles, managing and troubleshooting network configurations in production Kubernetes environments.

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 3 years of experience in developing and optimizing low-level system software, including experience with the Linux kernel networking stack, network protocols, cryptography, or storage offloads.
• 1 year of experience in a technical leadership role.

Experience developing accessible technologies.

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 Host Network Functions team is responsible for developing and delivering high-performance networking solutions that empower Google Distributed Cloud. The team focuses on optimizing Kubernetes networking experiences and providing connectivity and performance for a wide range of customers, including those in the Telecom, AI, Retail, and Enterprise sectors. The team develops APIs and software stacks to manage the host networking infrastructure on GDC servers, ensuring network connectivity for Kubernetes Pod and Virtual Machine (VM) workloads.

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 $161,000-$239,000 + 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

• Develop APIs and software stacks for host networking infrastructure, ensuring robust network connectivity for Kubernetes Pod and VM workloads from customer on-premise physical networks.
• Optimize network data paths in the Linux kernel stack by leveraging SmartNICs hardware accelerations and offloads making sound judgments on tradeoffs involved.
  
• Deliver top of the line performance for our customers' demanding workloads involving highly secure data handling and large-scale AI models.
  
• Develop efficient network stacks suitable for AI workloads in high performance computing environments and GPU based architectures.
  
• Participate in on-call rotations and help drive operational excellence, track and develop dashboards, regression test matrix, improve quality of our products.