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Lead a distributed engineering team designing and optimizing high-performance networking infrastructure for LLM serving and HPC workloads. Requires eight years of C++ programming experience, five years architecting and shipping software products, and expertise in HPC, RDMA, storage systems, and kernel drivers. You'll tune communication stacks, integrate hardware and software systems, and shape cross-organizational technical roadmaps alongside senior leaders.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Technical Leadership and Mentorship: Lead and coach a distributed engineering team, fostering innovation while aligning cross-functional groups on goals, priorities, and deliverables.
  • Large-Scale and LLM Architecture: Design and deploy scalable software and advanced serving architectures, optimizing the LLM serving stack for efficiency and reliability.
  • Performance and Network Engineering: Architect performant network transport across various NICs and platforms, tuning the communication stack to accelerate HPC, RDMA, and ML workloads.
  • Strategic Roadmap and Trends: Partner with cross-organizational leaders to co-develop roadmaps bridging RDMA, storage, and AI/ML, staying ahead of training and inference advancements.
  • Collaborative System Integration: Collaborate with hardware, software, and systems engineers to bridge communication gaps and ensure seamless hardware-software integration.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++.
  • 5 years of experience with design and architecture, and testing and launching software products.
  • Experience with C, High Performance Computing, Remote Direct Memory Access, Storage Systems, System Design, and Kernel Drivers.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 5 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • Experience with Storage Systems or Machine Learning Infrastructure.
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++.
  • 5 years of experience with design and architecture, and testing and launching software products.
  • Experience with C, High Performance Computing, Remote Direct Memory Access, Storage Systems, System Design, and Kernel Drivers.
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  • Role Senior Staff Software Engineer, High Performance Networking, Platforms Infrastructure Engineering
  • Experience 8-9 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

All jobs at Google

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Job Overview

Approx. salary range

209K – 209K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 17 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
8-9 years

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