Staff Software Engineer, AI, Containers, and Kubernetes
Job Summary
Job Description
- 8+ years software development experience
- 3+ years building distributed systems
- Kubernetes & GenAI expertise
- Deliver reliable AI/ML architectures
- Mentor and guide engineers
- Master's/PhD in related field
- 3+ years in complex organizations
- AI/ML lifecycle implementation experience
- Bonus
- Equity
- Benefits
8 skills required
Job Details
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 3 years of experience building and developing infrastructure or distributed systems.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience working in a complex, matrixed organization.
- Experience applying AI/ML principles and implementing AI/ML lifecycle, either as part of a team building AI/ML or supporting AI/ML teams from the platform side.
- Knowledge of Kubernetes, with a focus on AI inference workloads.
- Strong understanding of GenAI modeling/serving/training architecture.
About the job
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.
Our mission is to make Google Kubernetes Engine (GKE) the default platform to deploy Generative AI Inference workloads. In this role, you will work in two domains, Containers and Generative AI.
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.
The US base salary range for this full-time position is $197,000-$291,000 + 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 .
Responsibilities
- Deliver reliable, scalable, and production-ready AI/ML architectures.
- Set strategic priorities and empower the team to operate effectively in a rapidly evolving space, fostering a culture of innovation, execution, and impact.
- Mentor and guide engineers, ensuring they grow into technical leaders who can effectively drive GKE AI platform improvements and best practices.
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About The Company
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
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