Job Summary
This role involves spearheading the design, implementation, and operational launch of physical GPU and high-performance computing (HPC) infrastructure aimed at enhancing autonomous systems and artificial intelligence/machine learning (AI/ML) workloads. Furthermore, you will create scalable computing frameworks and streamline infrastructure management to guarantee optimal performance and reliability.
Responsibilities
- Lead the design and deployment of GPU and HPC infrastructure for autonomous systems and AI/ML applications.
- Architect robust computing foundations that are scalable and efficient.
- Automate infrastructure operations to maximize performance and reliability.
Qualifications
- Bachelor’s degree in a technical discipline.
- Minimum of 8 years of experience in infrastructure or systems engineering.
- Demonstrated proficiency in designing physical computing environments, particularly GPU clusters and large-scale data centers.
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