Hyperscalers And Strategic Neoclouds Lead in Austin

Customer Quality & RMA Engineer Job Description POSITION OVERVIEW COMPANY OVERVIEW Infinitum Electric is a technology company pioneering the next generation of axial flux electric motors — lighter, more efficient, and more sustainable than conventional motor designs. Our motors are deployed in mission-critical applications for leading customers including hyperscale data center operators and industrial OEMs. As we scale rapidly in revenue, our Quality function is the backbone of customer trust and product integrity. POSITION SUMMARY The Customer Quality & RMA Engineer serves as the primary technical interface between Infinitum and its customers on all quality-related matters — including field complaints, warranty returns, RMA processing, corrective action management, and customer-facing quality reporting. This role owns the complete RMA lifecycle from customer notification through root cause resolution and verified closure, and is responsible for ensuring that every customer quality event is investigated with rigor, communicated with transparency, and resolved permanently. KEY RESPONSIBILITIES RMA Management & Field Complaint Resolution Own the end-to-end RMA process — from initial customer notification through receipt, inspection, root cause analysis, corrective action, and verified closure Triage and prioritize incoming field complaints and warranty returns based on customer impact, failure mode severity, and strategic account importance Conduct or coordinate physical inspection and failure analysis of returned motors and assemblies Maintain accurate, real-time RMA tracking data including cycle time, failure mode distribution, and cohort maturity trends Communicate RMA status, findings, and corrective actions to customers in a professional, timely, and technically credible manner Drive RMA rate reduction through systemic root cause analysis and closed-loop corrective action — targeting the structural elimination of recurring failure modes Custome

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of a best-in-class family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from a diverse group of backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a senior validation lead engineer to lead at-scale rack validation efforts for next-generation AI hyperscale systems. This role focuses on post-silicon system validation across the full lifecycle, ensuring functional, electrical, and thermal performance meets product objectives. You will own end-to-end blade and rack validation including planning, development, execution, and debug while collaborating across firmware, systems, and hardware teams. The Team The Rack Validation team is responsible for ensuring system readiness and quality at scale. The team works cross-functionally with firmware, silicon, and system engineering teams to validate complex AI compute platforms. Responsibilities and Duties Lead post-silicon validation of AI compute blades and racks including test planning, development, and automation. Drive provisioning and integration of system components (SoC FW, BMC, RMC, OS) for rack-level readiness. Own execution against program achievements and report validation progress and risks. Triage test failures, collect debug data, and collaborate on root cause analysis. Track

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Senior Principal Network Engineer to help design, deploy, and optimize next‑generation AI data center networks. AI training and inference workloads require extremely high bandwidth, deterministic low latency, and zero‑packet‑loss networking environments. In this role, you will partner closely with the Network Architecture Lead to design and scale high‑performance computing (HPC) network fabrics supporting GPU clusters. You will work across hardware, networking, and AI application layers to ensure Graphcore’s large‑scale AI infrastructure operates at peak performance. The ideal candidate brings deep experience operating hyperscale or HPC data center networks and has expertise in high‑speed Ethernet fabrics, RDMA technologies, advanced automation, and telemetry systems. The Team The Data Center Network Engineering team designs and operates the high‑performance network fabrics that power Graphcore’s AI compute platforms. The team collaborates closely with hardware engineering, AI researchers, and infrastructure teams to build scalable networking environments optimized for distributed training and infe