Site Reliability Engineer - Datacenter

Xai
Memphis +1 more

Who this role is best for

Aimed at mid-level engineers with hardware reliability expertise who thrive in collaborative, flat-structured environments.

Best fit for

  • Candidates with mid-level experience in hardware reliability and strong vendor negotiation skills
    — “manage RMA processes, including initiating RMA claims, negotiating beyond standard processes
  • Individuals with a background in datacenter operations and firmware analysis
    — “expert focused on firmware, hardware specifications, vendor relations, and failure analysis
  • Engineers who enjoy working in a small, highly motivated team with a flat hierarchy
    — “Our team is small, highly motivated, and focused on engineering excellence. We operate with a flat organizational structure.

Things to consider

  • On-call responsibilities are expected for hardware-related issues in the Memphis datacenter
    — “Participate in on-call rotations and incident response for hardware-related issues in the Memphis datacenter
  • The role demands a high level of technical diagnostic capability, including grey failure analysis
    — “Investigate and diagnose hardware failures, including 'grey failures' (ambiguous or intermittent issues)

How to stand out

  • Emphasize your ability to document failure modes and RCAs systematically
    — “Document failure modes, RCAs, AFR / reliability models, RMA outcomes, and hardware evaluations into a team knowledge base.
  • Demonstrate your experience with scripting and automation tools like Python and Bash
    — “Proficiency in scripting (Python, Bash) for automation and analysis
  • Showcase your skills in diagnosing complex hardware failures using diagnostic tools
    — “diagnose and prove complex hardware failures, including grey or intermittent issues, using tools, logic analyzers, or diagnostic software
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • analyze firmware packages and hardware specifications for compatibility, performance, and reliability
  • manage vendor relationships and RMA claims
Typical background
Bachelor's degree in Systems Engineering, Electrical Engineering, Computer Science, or a related field (or equivalent experience)

Skills & requirements

Required

Firmware AnalysisHardware Specifications ReviewRelease ValidationRMA ProcessesHardware DiagnosticsScripting

Preferred

Datacenter Hardware ComponentsEmerging Technologies

Stack & domain

Firmware AnalysisHardware SpecificationsRMA ProcessesHardware DiagnosticsHardware EvaluationMonitoring ToolsScriptingAutomationData AnalysisHardware TroubleshootingCollaborationCommunicationProblem-solvingTeamworkAdaptabilitySite ReliabilityDatacenter OperationsHardware Engineering

About the role

Original posting from Xai via Greenhouse

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

As a Site Reliability Engineer focused on Hardware, you will serve as an expert focused on firmware, hardware specifications, vendor relations, and failure analysis. You will proactively identify and resolve hardware issues, manage RMA processes, and stay ahead of emerging hardware technologies to support SpaceXAI's datacenter operations. This role demands deep technical expertise in hardware diagnostics, and forward-looking hardware evaluation.

RESPONSIBILITIES:

Analyze firmware packages and hardware specifications for upcoming releases for compatibility, performance, and reliability in SpaceXAI's datacenter environment. Run security scanning and CVE / vulnerability analysis on firmware and related components. Flag safety issues (electrical, thermal, power-protection, fail-safe behavior) before the package hits the floor.

Investigate and diagnose hardware failures, including "grey failures" (ambiguous or intermittent issues), proving them as true hardware defects through rigorous testing and data analysis.

Manage vendor relationships, including initiating RMA (Return Merchandise Authorization) claims, negotiating beyond standard processes when necessary, and holding vendors accountable for resolutions.

Collaborate with Datacenter Operations Technicians to troubleshoot, repair, and optimize hardware systems in real-time.

Develop and implement monitoring tools, scripts, and processes to detect hardware anomalies early and minimize downtime.

Document failure modes, RCAs, AFR / reliability models, RMA outcomes, and hardware evaluations into a team knowledge base.

Participate in on-call rotations and incident response for hardware-related issues in the Memphis datacenter  

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 datacenter 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 datacenter 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 SpaceXAI.

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

Source: Xai careers (Greenhouse)

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