Quick Overview
Job Description
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 understand the universe and help expand humanity’s knowledge and capabilities. We work across the full Super Intelligence stack: compute (Colossus supercomputers), models (Grok), and applications (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 SpaceXAI.
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