Hiring: Sr. Field Applications Engineer, Datacenter & AI Systems Debug and Deployment Support Company: AMD Location: Austin, TX Job Posted Time: 2026-09-09 18:02:30 Target Skills & Keywords : HBase, Move, Node.js About the job Required Skills: •We are seeking a motivated and technically curious •Field Applications Engineer •to join our Global Partner Support team. This role is ideal for an early career engineer who is motivated to grow deep expertise at the intersection of data center hardware, system software, and AI workloads. •In this role, you will work alongside experienced FAEs and engineering teams to debug, triage, and resolve complex issues involving AMD Data Center GPUs and the AI software stack. You will gradually take on increasing ownership as your technical depth and confidence grow. This is a hands-on role designed for engineers who enjoy learning through real-world problem solving in fast-paced, high-impact environments. •The ideal candidate is an intellectually curious engineer with a passion for solving challenging technical problems and building expertise across modern computing platforms. You thrive in collaborative environments, enjoy working directly with customers and partners, and are energized by opportunities to learn new technologies. •You possess strong analytical and debugging skills and are comfortable navigating issues that span hardware, software, systems, and AI workloads. You communicate effectively with both technical and non-technical audiences and approach problems with a customer-first mindset. Most importantly, you are motivated to grow into a trusted technical advisor supporting some of the industry's most advanced AI and accelerated computing deployments. •Key Responsibilities •Participate in system-level debugging of GPU, driver, networking, and AI software issues across single-node and multi-node environments, progressively taking ownership of complex debug efforts. •Support post-sales technical engagements with cloud providers, OEMs, ODMs, enterprise customers, and strategic partners. •Reproduce customer and partner issues in lab environments and analyze logs, core dumps, performance data, and system behavior to determine root causes. •Collaborate closely with engineering, product, and validation teams to drive issue resolution, validate fixes, and provide critical field feedback. •Document debug methodologies, technical findings, and solutions while contributing to internal knowledge bases and best practices. •Support large-scale cluster bring-up activities, new product introductions, and strategic customer deployments as experience grows. •Develop and deliver technical training sessions and collateral covering new products, feature enhancements, and advanced troubleshooting methodologies. •Preferred Experience Compensation: •$114,400 •$171,600 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!