Senior Software Engineer, AI/ML Frameworks
3 days ago
As a software engineer on the GKE AI Ecosystem Tools and Frameworks team, you will play a critical role in making Kubernetes the go-to platform for AI/ML workloads.
Our team is dedicated to identifying and driving key improvements to open-source software in the Gen AI development ecosystem, collaborating extensively with internal Google teams and the OSS community, and providing reference architectures and solutions that showcase GCP platform value for AI/ML with GKE.
We are focusing on Ray, Metaflow, and LangChain initially, while developing a sustainable framework for future AI/ML framework integrations with Kubernetes.
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.
- 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.
- Explore emerging AI/ML frameworks and user journeys to identify opportunities for improving Kubernetes support, as well as generalize patterns across different frameworks.
- Analyze shortcomings in frameworks, Kubernetes, and the overall developer lifecycle to enhance AI workflows and propose/drive solutions to address these challenges.
- Engage with internal Google teams and open source communities to foster collaboration and drive improvements.
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.
CompensationThe US base salary range for this full-time position is $161,000-$239,000 + 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.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
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