xAI Hardware Reliability Engineer responsible for tracking yield, investigating failures, and driving improvements in datacenter compute hardware reliability. Works hands-on in office, datacenter, and lab environments to ensure 100% GPU uptime.
Responsibilities
Responsible for tracking yield, test/inspection escapes, and ensuring past failures and lessons learned are incorporated
Monitor the success of products and processes through production ramp-up using a suite of quality and analysis tools
Conduct regular build quality reviews to ensure that design intent is achieved and well-communicated; identify opportunities for risk reduction and removal of complexity in designs and processes to improve manufacturability, collaborating with integrated product teams to drive improvements and address high-impact and repeating non-conformances
Investigate failures in test and deployment, identifying and mitigating the immediate and underlying root causes in order to quantify/reduce risk and improve reliability of designs and processes
Utilize schematics, test equipment, inspection processes, etc. to perform structured electrical root cause analysis of failures identified during the development and production processes to inform design/manufacturing changes
Identify failures across GPU trays/baseboards, NIC/DPU, motherboard/PCIe switch, memory, power, thermal, cables/connectors, and rack-scale patterns
Failure identification includes down to the piece part and circuit board level
Diagnose and prove complex hardware failures, including intermittent issues, using failure analysis tools, logic analyzers, or diagnostic software
Run recurrence analysis and datacenter-wide defect clustering; detect systemic and component level patterns before they become fleet-scale loss.
Build vendor technical escalation packages with evidence quality that forces action; partner with OEM/ODM/component manufacturers on firmware, bring-up, and manufacturing escapes through committed CAPA.
Qualification
Proficiency in scripting (PythonExperience with RMA processes
Required
Bachelor's degree in electrical engineering, computer engineering, mechanical engineering, or equivalent
Hands on experience designing and/or troubleshooting PCBAs
Proficiency in scripting (Python, Bash, Perl) for automation and analysis
Preferred
Experience supporting production and test of complex electromechanical assemblies
Experience in at least one system language (C, C++, Java, Rust, or similar).
Experience with RMA processes, including filing claims, vendor negotiations, and pushing for resolutions outside standard protocols.
Knowledge of quality tools such as Lean principles, measurement systems analysis, design of experiments, statistical process control,, root cause analysis and corrective action, advanced product quality planning (APQP), metrology, process failure mode and effects analysis (PFMEA), control plans, and various problem solving approaches
Dedicated to adopting a Lean approach to quality without compromising safety or reliability
Knowledge of hyperscale compute vendor ecosystems (e.g., NVIDIA, Dell, HP, Supermicro) and supply chain management
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