Senior AI Infrastructure Performance Engineer

Crusoe; San Francisco (CA); On-site; USD 172,500 - 210,000; Full time

Job summary

A leading AI infrastructure company in San Francisco is looking for a Senior Systems Performance Engineer to lead the hardware evaluation and scaling of their AI infrastructure. This role involves defining the performance roadmap for their next-generation cloud, focusing on optimizing system efficiency. Ideal candidates have over 5 years of experience with large-scale GPU systems, strong programming skills in Python and C++, and a deep understanding of hardware architectures. The compensation ranges from $172,500 to $210,000 annually.

Qualifications

• 5+ years experience in end-to-end hardware evaluation, reliability, and scaling of AI infrastructure.
• Experience with large-scale GPU infrastructure optimization.
• Knowledge of performance modeling for secure environments.

Responsibilities

• Lead the evaluation and establishment of New Product Introduction across hardware architectures.
• Conduct deep-dive performance evaluations and workload characterizations.
• Design and implement 0-to-1 performance methodologies for scaling.

Skills

Expert-level proficiency in Python

Expert-level proficiency in C++

Proven experience in building and optimizing AI application systems

Deep knowledge of x86 and ARM architectures

Ability to write and debug ARMv8 assembly

Tools

Lauterbach Trace32

ARM DS-5

Job description

A leading AI infrastructure company in San Francisco is looking for a Senior Systems Performance Engineer to lead the hardware evaluation and scaling of their AI infrastructure. This role involves defining the performance roadmap for their next-generation cloud, focusing on optimizing system efficiency. Ideal candidates have over 5 years of experience with large-scale GPU systems, strong programming skills in Python and C++, and a deep understanding of hardware architectures. The compensation ranges from $172,500 to $210,000 annually.