> Markdown version of [/jobs/ext/3111430-platform-application-engineer-cloud-ai-infrastructure](https://www.wearedevelopers.com/jobs/ext/3111430-platform-application-engineer-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). --- # Platform Application Engineer, Cloud AI Infrastructure - **Company:** Google LLC - **Location:** Kirkland, WA, United States - **Experience:** Experienced - **Salary:** $159,000.0 - $230,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, 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 27, 2026 - **Apply:** https://dejobs.org/x/x/3BE1C14FB9894ACCBF358A5C1C400676/job/ ## About the Role Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor's degree in Computer Science, Management Information Systems, or other technical field, or equivalent practical experience. * 4 years of debug or validation experience with CPU, dGPU, or TPU. * 4 years of experience with technical infrastructure (deployment, maintenance, and troubleshooting), and quality and reliability of technical infrastructure. * 3 years of experience with hardware debug (silicon debug, platform debug, IO interface, or memory analysis). * Experience debugging technical issues across the stack (hardware faults, low-level software, networking, virtualization, kernel drivers, firmware, or performance). * Experience with Linux/Unix systems and debugging issues across the hardware/software boundary on enterprise-grade server infrastructure., * Experience working with 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. * Familiarity with containerization and orchestration technologies like Kubernetes or Slurm in an on-prem or cloud environment. * Experience with systems automation, and with systems design and debug. * 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 input/output (IO) technologies. ## 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 Platform Application Engineer (Hardware Engineer), you will be focused on solving customer observations by, driving deep hardware analysis, debug, and issue resolution through to root cause. You will dive deep into complex technical challenges, troubleshoot critical issues across the platform, and provide resolutions in both short-term and long-term platform solutions. In this role, you will represent the customer solution, collaborating tightly with engineering and product teams to drive continuous improvement in our products and services., * Manage customer's 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 understand behaviours. * Debug platform hardware and silicon-related issues to drive root-cause resolution and develop permanent improvements. * Drive understanding of AI/ML workloads and underlying hardware architectures by troubleshooting, reproducing, determining the cause for customer reported issues, and building tools for faster diagnosis. * Act as a consultant and subject matter expert for internal stakeholders in Engineering and Quality 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) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)