xAI

xAI

Posted via Greenhouse

Hardware Failure Analysis Engineer - Memphis

Posted Sep 3, 2026

Role at a glance

Job function
Engineering & R&D Computer Hardware Engineering
Salary
Not Disclosed
Location
Southaven, Mississippi, United States Memphis, Tennessee, United States
Work arrangement
On-site
Employment
Full-time
Experience
2+ years of experience in hardware reliability engineering, preferably in high-performance computing or data center environments.
Education
Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Science, or a related field (or equivalent experience).

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Role Summary

AI-generated

The Hardware Failure Analysis Engineer determines root causes of fleet hardware failures at component and system levels and drives corrective action with vendors and manufacturers. The role analyzes recurring failures across data center hardware and feeds findings into fleet support practices.

What You'll Do

  • Own failure classes across GPU trays and baseboards, NIC/DPU, motherboards and PCIe switches, memory, power, thermal, cables and...
  • Analyze recurrence and cluster fleet-wide defects to identify systemic patterns.
  • Prepare technical escalation packages and work with OEMs, ODMs, and component manufacturers on firmware, bring-up, manufacturing...
  • Use failure-analysis findings to inform RMA policy, spare strategy, and stop-rules.
  • Participate in the rotating failure-analysis intake queue and keep queue age within SLA.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Science, or a related field (or equivalent experience); 2+ years of hardware reliability engineering experience; expertise in firmware analysis, hardware specifications review, and release validation; experience with RMA processes and vendor negotiations; ability to diagnose complex, including intermittent, hardware failures using tools, logic analyzers, or diagnostic software; familiarity with data center hardware; Python or Bash scripting and experience in at least one systems language (C, C++, Java, Rust, or similar); data-driven problem-solving and cross-functional collaboration.

Required

  • Experience in AI/ML infrastructure or supercomputing environments.
  • Knowledge of vendor ecosystems (e.g., NVIDIA, Dell, HP, Supermicro) and supply chain management.
  • Certifications in hardware engineering or reliability (e.g., CRE, CompTIA Server+).
  • Prior work in a fast-paced startup or tech company like SpaceXSI.

Original job description

Content provided by the employer
View on company site

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

ABOUT THE ROLE:

Determine true root cause of fleet hardware failures — component and system level — and drive fixes through vendors to the manufacturer. Turn "swap it again" into "vendor redesign / firmware fix / manufacturing escape found."

RESPONSIBILITIES:

  • Own named failure classes across GPU trays/baseboards, NIC/DPU, motherboard/PCIe switch, memory, power, thermal, cables/connectors, and rack-scale patterns.
  • Run recurrence analysis and fleet-wide defect clustering; detect systemic 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.
  • Feed findings into RMA policy, spare strategy, and "do not reseat forever" stop-rules.
  • Work the FA intake queue on rotation; keep queue age within SLA

BASIC QUALIFICATIONS:

  • Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Science, or a related field (or equivalent experience).
  • 2+ years of experience in hardware reliability engineering, preferably in high-performance computing or data center environments.
  • Proven expertise in firmware analysis, hardware specifications review, and release validation.
  • Strong experience with RMA processes, including filing claims, vendor negotiations, and pushing for resolutions outside standard protocols.
  • Demonstrated ability to diagnose and prove complex hardware failures, including grey or intermittent issues, using tools, logic analyzers, or diagnostic software.
  • Familiarity with data center hardware components (e.g., servers, GPUs, networking equipment) and emerging technologies.
  • Proficiency in scripting (Python, Bash) for automation and analysis, plus general experience in at least one systems language (C, C++, Java, Rust, or similar). Not required to be expert in all of them.
  • Excellent problem-solving skills with a data-driven approach to reliability engineering.
  • Ability to work collaboratively with cross-functional teams, including operations technicians.

PREFERRED SKILLS AND EXPERIENCE:

  • Experience in AI/ML infrastructure or supercomputing environments.
  • Knowledge of vendor ecosystems (e.g., NVIDIA, Dell, HP, Supermicro) and supply chain management.
  • Certifications in hardware engineering or reliability (e.g., CRE, CompTIA Server+).
  • Prior work in a fast-paced startup or tech company like SpaceXSI.

SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

xAI

About the company

xAI

Large Enterprise

xAI is a cutting-edge technology company focused on developing advanced artificial intelligence solutions to enhance human capabilities and optimize decision-making processes. Founded by a team of leading experts in AI and machine learning, xAI aims to address complex challenges across various industries, including healthcare, finance, and transportation. By prioritizing ethical AI development, the company is committed to creating innovative tools that empower organizations to harness the full potential of artificial intelligence while ensuring transparency and accountability.

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