> Markdown version of [/jobs/ext/3091892-field-application-engineer-manager-cloud-ai-infrastructure](https://www.wearedevelopers.com/jobs/ext/3091892-field-application-engineer-manager-cloud-ai-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Field Application Engineer Manager, Cloud AI Infrastructure - **Company:** Google LLC - **Location:** Austin, TX, United States - **Experience:** Experienced - **Salary:** $236,000.0 - $329,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Computer Engineering, Software Debugging, Software Design Patterns, Distributed Systems, Firmware, Machine Learning, Reliability Engineering, Tensorflow, System Programming, Virtualization Technology, AI Infrastructure, Graphics Processing Unit (GPU), Google Cloud, Pytorch, Computer Equipment, Kubernetes, Information Technology, Slurm, Machine Learning Operations - **Published:** September 26, 2026 - **Apply:** https://dejobs.org/x/x/24F69B014A30466B845ABA9BA622CC7C/job/ ## About the Role Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or IT-related field, or equivalent practical experience. * 8 years of experience with Linux/Unix systems and experience in debugging issues across the hardware/software boundary on enterprise-grade server infrastructure. * 5 years of experience in technical leadership. * 3 years of experience with technical infrastructure (e.g., deployment, maintenance, and troubleshooting), and with quality and reliability of technical infrastructure. * 3 years of debug or validation experience with CPU, dGPU, or TPU. * Experience troubleshooting and triaging technical issues across the stack (e.g., hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, or performance)., * Experience working directly with AI/ML computing hardware, including GPUs or other accelerators. * Experience with systems automation, and with systems design and debug. * Experience working with distributed systems, and familiarity with common solutions, design patterns, or best practices. * Experience with ML frameworks (e.g., TensorFlow, PyTorch), and understanding of the AI/ML training and inference lifecycle. * Advanced understanding of memory and high-speed IO technologies. * Familiarity with containerization and orchestration technologies like Kubernetes or Slurm in an on-prem or cloud environment. ## Description Our AI Infrastructure Engineering Support team is dedicated to ensuring our customers get the most out of their Google Cloud hardware investment. As a Field Application Engineer Manager (Hardware Engineer), your team will serve as on-site, external-facing trusted advisors to customers. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $236000 - $329000 (USD) + 25% bonus target + equity + benefits, * Lead a team that will participate in on-call activities, working with the primary responders to resolve system observations. Provide leadership, mentorship, and career development for team members. * Manage customer problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity on AI/ML infrastructure. * Work closely with multiple Product, Quality, and Engineering teams to improve the product, and interact with our Site Reliability Engineering (SRE) teams to drive high-quality attainment. * 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 Engineering, Sales, and customer organizations to resolve complex deployment and operational obstacles in AI infrastructure environments. ## Related Videos - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Playing Pong on a shoulder press machine](https://www.wearedevelopers.com/videos/100140-playing-pong-on-a-shoulder-press-machine) - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)