Software Engineering Manager, RDMA Networking

1 Month ago • 8-11 Years • Artificial Intelligence • $197,000 PA - $291,000 PA

Job Summary

Job Description

As a Software Engineering Manager, RDMA Networking at Google, you'll lead a team designing, developing, and operating HW-offloaded low-latency transport protocols. You'll set team priorities, align strategies across teams, and provide individual performance feedback and coaching. Responsibilities include developing mid-term goals and roadmaps, facilitating cross-functional collaborations (internal/external), and managing a large product budget and international project deployments. The role requires strong technical expertise in distributed systems, computer architecture, C++, and Google Cloud, along with proven leadership experience in managing engineering teams. You will contribute to product strategy and help develop your team. The role is crucial for powering multiple applications across Google for HPC/Machine Learning.
Must have:
  • 8+ years software development experience (Python, C, C++, Java, JavaScript)
  • 3+ years technical leadership, 2+ years people management
  • Experience with Distributed Systems, Computer Architecture, C++, Google Cloud
  • Manage RDMA-networking team, design, develop, operate HW-offloaded protocols
  • Facilitate cross-functional collaborations
Good to have:
  • Master's/PhD in Computer Science
  • High Performance Computing experience

Job Details

Minimum qualifications:

  • Bachelor’s degree, or equivalent practical experience.
  • 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  • 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
  • Experience with Distributed Systems, Computer Architecture, C++ and Google Cloud.


Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 3 years of experience working in an organization.
  • Experience with High Performance Computing.

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

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.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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

  • Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.
  • Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
  • Develop the mid-term goals and roadmap within the scope of team. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
  • Manage the RDMA-networking team responsible for designing, developing and operating HW-offloaded low-latency transport protocols. 
  • Facilitate cross-functional collaborations across internal and external teams as RDMA powers multiple applications across Google for HPC/Machine Learning.

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