Senior Software Engineer, AI/ML GenAI, GCP

Senior Software Engineer, AI/ML GenAI, GCP

Google Seattle, WA, USA

Benefits

• 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
• 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

Required Qualifications

• Bachelor’s degree or equivalent practical experience
• 5 years of experience programming in Python or C++
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)
• 3 years of experience testing, maintaining, or launching software products
• 1 year of experience with Generative AI (GenAI) techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or GenAI-related concepts (e.g., language modeling, computer vision)
• 1 year of experience with software design and architecture

Preferred Qualifications

• Master's degree or PhD in Computer Science or related technical field
• 5 years of experience developing cloud-based storage systems
• 5 years of experience with data structures/algorithms
• 1 year of experience in a technical leadership role
• Experience working on GCP Google Cloud Platform

Responsibilities

• Write and test product or system development code
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency)
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality
• Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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 an equal employment opportunity 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.