Software Engineering Manager, GPU Reliability

Software Engineering Manager, GPU Reliability Location: Seattle, WA, USA

Experience Level: Advanced

Overview As a Software Engineering Manager, you will have the technical expertise to lead major projects while managing a team of engineers. Your role will involve optimizing your own code as well as ensuring that other engineers can optimize theirs. You will manage project goals, contribute to product strategy, and help develop your team. Teams work across various domains such as information retrieval, artificial intelligence, natural language processing, and more.

Benefits In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

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.

Responsibilities

• 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.

About Google Cloud The Cloud GPU team drives AI innovation by building and maintaining Google Cloud's industry-leading GPU fleet and AI platform. We deliver unparalleled computational resources and collaborate with cross-functional partners to build the foundational infrastructure fueling AI advancements across global industries.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Compensation:

• US: $207,000 - $300,000 (USD) + 20% bonus target + equity + benefits

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing equal employment opportunities regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

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