Lead AI Infra Engineer (C/C++) - GPU Training & Equity

SpaceXSI

Palo Alto, Seattle (CA, WA)

Vor Ort

USD 220.000 - 357.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Equity
Medical, vision, and dental
401(k) retirement plan
Short & long-term disability insurance
Life insurance
Employee discounts

Zusammenfassung

SpaceXSI is seeking a Lead Engineer for AI infrastructure in Palo Alto to architect and maintain software for training Grok models on massive GPU clusters. You will lead a versatile team tackling reliability, throughput, security, and developer experience, driving critical infrastructure across models and hardware integration.

You will collaborate with model, kernel, network, hardware, platform, and site ops engineers to prototype, validate concepts, and plan milestones.

Qualifikationen

  • Bachelor’s degree in computer science, engineering, math, or technical discipline.
  • Hands-on systems programming in C or C++ on large-scale clusters.

Aufgaben

  • Develop reliable software for training Grok models on large GPU clusters.
  • Define future training architectures and hardware directions.
  • Collaborate with model, kernel, network, hardware, platform, and site ops engineers.
  • Create prototypes to validate design concepts and constraints.
  • Lead team planning with stakeholders to set milestones and execute.

Kenntnisse

C/C++ programming
Systems programming
Performance optimization
Team leadership
GPU compute training

Ausbildung

Bachelor’s degree in computer science, engineering, math, or technical discipline

Jobbeschreibung

SpaceXSI is seeking a Lead Engineer for AI infrastructure in Palo Alto to architect and maintain software for training Grok models on massive GPU clusters. You will lead a versatile team tackling reliability, throughput, security, and developer experience, driving critical infrastructure across models and hardware integration.

You will collaborate with model, kernel, network, hardware, platform, and site ops engineers to prototype, validate concepts, and plan milestones.

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