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Job Details
Posted date: Feb 19, 2026
Location: Kirkland, WA
Level: Senior
Estimated salary: $171,500
Range: $141,000 - $202,000
Description
Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Innovate in AI infrastructure, address unique issues in the emerging field of GenAI models. Manage model issues, engage with open-ended questions in unexplored areas.Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As a part of the Vertex Provisioned Throughput team, your mission is to empower enterprises and developers to confidently run their mission-critical Generative AI workloads on Vertex AI. You will deliver a premium service offering, provisioned throughput, which provides customers with guaranteed throughput that guarantees consistent serving throughput for GenAI models and enhanced reliability which delivers a high-SLO (Service Level Objective) platform suitable for enterprise production traffic.
Your aim is to provide the most frictionless, flexible, and dependable experience, making provisioned throughput the default choice for customers transitioning their essential AI workloads from pay-as-you-go to a reserved model. Your focus will be on evolving the platform to be more efficient and reliable, supporting the growth and stability of AI applications on Google Cloud.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Qualifications
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with data structures and algorithms. Experience developing accessible technologies. Experience developing, deploying, managing, and maintaining machine learning infrastructure.
Extended Qualifications
Bachelor’s degree or equivalent practical experience. 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.Check out other jobs at Google.