Google

Software Engineering Manager, GPU Reliability

Seattle, United States · On-site
Salary not published
Posted 4 weeks ago

From Google's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team.

What they ask for vs. your profile

Must have

Leadership
Google Cloud
Machine learning
Team management
Budgeting
Data modeling
Electrical engineering
NLP
Teamwork
Training and coaching

Your match

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Google

Software Engineering Manager, GPU Reliability

Seattle, United States · On-site
Salary not published
Posted 4 weeks ago

From Google's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

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 Cloud GPU team drives AI innovation by building and maintaining Google Cloud’s industry-leading GPU fleet and AI platform. We empower sophisticated training and inference customers by delivering computational resources. Owning the entire lifecycle of GPU offerings from launching new architectures to ensuring optimal reliability for workloads. We operate at the intersection of hardware, software, and applied AI. In this role, you will collaborate with cross-functional partners to build the foundational infrastructure fueling AI advancements across global industries. You will contribute to the future of AI and enable breakthrough solutions for a rapidly evolving customer base. 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

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 issues 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.

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.

As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team.

What they ask for vs. your profile

Must have

Leadership
Google Cloud
Machine learning
Team management
Budgeting
Data modeling
Electrical engineering
NLP
Teamwork
Training and coaching

What they ask for vs. your profile

Must have

Leadership
Google Cloud
Machine learning
Team management
Budgeting
Data modeling
Electrical engineering
NLP
Teamwork
Training and coaching

Your match

A free account lets you apply, save this job, see how well you match and check your resume against it.

Career roadmap: IT ManagerWhat to learn, how to practice and free resources, from beginner to expert.

Reach the hiring team

A short note to a recruiter or the hiring manager after you apply can get your application read sooner.

ATS check

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Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.

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ATS check

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