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Job Description

  • Lead, mentor, and grow a team of software engineers, fostering a collaborative culture and supporting career development.
  • Execute technical roadmaps for the GPU ecosystem, anticipating market shifts to advance Google Cloud's AI infrastructure.
  • Oversee the accelerator solution lifecycle, driving root-cause analysis and resolving production issues to guarantee fleet reliability.
  • Collaborate with customers as a technical advocate to resolve critical challenges and translate feedback into platform enhancements.
  • Author and review technical specifications to maintain architectural consistency, high code quality, and long-term platform maintainability.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 years of experience in a technical leadership role.
  • 2 years of experience in a people management, supervision/team leadership role.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.
  • Experience with data science, data modeling, large-scale data processing, and reliability metrics.
  • Experience in runtimes, Firmware, GPU drivers, embedded systems, embedded processors, and real time systems.
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 years of experience in a technical leadership role.
  • 2 years of experience in a people management, supervision/team leadership role.
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  • Role Software Engineering Manager, GPU Reliability
  • Experience 5-7 years
  • Education Any
  • 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

23 more Engineering Manager roles in Seattle

Job Overview

Approx. salary range

177K – 213K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 181 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:
2 weeks ago
Job Type
Full Time
Education
Any
Experience
5-7 years

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