Technical Solutions Engineer, AI/ML
Job Summary
Job Description
- Bachelor's degree in STEM or equivalent experience
- 4+ years coding experience (Java, C++, Python, etc.)
- Linux/Unix system expertise
- AI/ML troubleshooting skills
- Fluent English communication
- Multi-node environment debugging
- Kernel debugging and performance analysis
- Public cloud experience
- Computer Networking knowledge
14 skills required
Job Details
Minimum qualifications:
- Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 4 years of experience reading/debugging code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) or in system design and in virtualization and orchestration frameworks.
- Experience with Linux/Unix or similar systems, from the kernel to the shell, file systems, and client-server protocols.
- Experience troubleshooting and resolving technical issues in an application tech stack including AI/ML.
- Ability to communicate fluently in English to communicate with different customers and stakeholders.
Preferred qualifications:
- Experience debugging workload issues across multi-node environments.
- Experience with exploratory kernel debugging and performance analysis of containerized systems.
- Experience working with public cloud services and infrastructure.
- Experience in Computer Networking (e.g., TCP/IP, Routing, Load balancing, etc.), with knowledge of basic web technologies (e.g., HTTP, HTML, DNS, TCP, etc.
About the job
The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.
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.
Responsibilities
- Assist customers as they adopt generative AI and new AI-powered experiences across the GCP portfolio, and ensure they have a smooth experience using the platform, tools, and solutions.
- Develop an understanding of Google Cloud’s product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and diagnosis.
- Work with key customers on their production deployments to resolve issues and achieve product readiness availability and scale using GCP Generative AI and AI/ML products making an impact on the customers' business.
- Act as consultant and SME for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud.
- Work as part of team of engineers/consultants that globally ensure customer support, including working non-standard work hour/shift and may include weekend work.
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