Technical Solutions Manager - Google, Waterloo

Role overview

Are you looking for technology jobs Waterloo? Google is hiring a Technical Solutions Development Manager, Compute, Google Cloud in Waterloo, ON. As a Solutions Developer for AI Infrastructure, you will own complex customer issues and provide specialized support to other teams. Part of a global team that provides 24x7 support, you will ensure customers can seamlessly deploy their AI and ML workloads on AI Infrastructure products while driving operational excellence and business growth.

What you'll do

In this Google careers position, your day-to-day responsibilities will include:

• Manage customers problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on AI/ML infrastructure.
• Develop an in-depth understanding of AI/ML workloads and underlying hardware architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis.
• Act as a consultant and subject matter expert for internal stakeholders in Development, Sales, and customer organizations to resolve complex deployment and operational obstacles in AI infrastructure environments.
• Work closely with multiple Product and Development teams to find ways to improve the product, and interact with our Site Reliability Developing teams to drive high-quality production.

Skills and experience

To qualify for these Google jobs, candidates must meet the minimum requirements and ideally possess preferred background experience:

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 13 years of experience in reading/debugging code written in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) and in virtualization and orchestration frameworks.
• Experience troubleshooting and advocating for customer needs, and triaging technical issues across the stack (e.g., hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, performance).
• Experience with Linux/Unix systems and debugging issues across the hardware/software boundary on enterprise-grade server infrastructure.
• Experience working with large-scale distributed systems, and familiarity with common solutions, design patterns, or best practices.
• Experience working directly with AI/ML computing hardware, including GPUs or other accelerators.
• Experience with ML frameworks (e.g., TensorFlow, PyTorch), and understanding of the AI/ML training and inference life-cycle.
• Familiarity with containerization and orchestration technologies like Kubernetes or Slurm in an on-prem or cloud environment.

Why you'll love it here

Google Cloud accelerates every organization’s ability to digitally transform its business and industry by delivering enterprise-grade solutions that leverage Google technology. Employees in Canada receive a competitive total compensation package including:

• Salary range of $174000 - $178000 CAD
• 20% bonus target
• Equity
• Comprehensive benefits