Senior Software Engineer, AI/ML, Google Kubernetes Engine
Job Summary
Job Description
- 5+ years software development experience
- 5+ years distributed cloud computing experience
- 3+ years Kubernetes experience
- 3+ years large-scale system experience
- Generative AI and LLM experience
- Experience building and shipping products
- Master's/PhD in CS/AI/ML
- Technical leadership experience
- Experience developing accessible technologies
- Bonus
- Equity
- Benefits
7 skills required
Job Details
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- 5 years of experience in distributed cloud computing, including 3 years of experience in containerization and container orchestration technologies such as Google Kubernetes Engine.
- 3 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
- 3 years of experience building and shipping technical products. Experience with the domain area of Generative AI and Large Language Models (LLM).
- Experience with machine learning algorithms, machine learning, AI algorithms, coding, system design, software development.
Preferred qualifications:
- Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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 an AI/ML Software Engineer, you will be working closely with the Google Kubernetes Engine (GKE) team to get a horizontal view of the way customers use the product and using that experience to help customers and GKE evolve to using more AI/ML strategies in its solution/design philosophy.
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 $166,000-$244,000 + 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
- Write and test product or system development code.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Drive closure of technical blockers, removing resistance for customers to use GKE.
- Serve as a triage point for selected AI/ML customer's issues using GKE.
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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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