Performance Engineer

About

Become a key player in AI technology as a Performance Engineer focused on enhancing software performance and system optimizations for ML applications. Work within an innovative Runtime Team to push the boundaries of x86 architecture performance. This role combines expertise in performance engineering with algorithm development aimed at improving training and inference systems. You will work with cutting-edge CPU features while conducting performance profiling and collaborating with multiple teams to inform design decisions for future AI architectures.

Responsibilities

• Optimize CPU and memory subsystems for software
• Enhance algorithms for data processing and synchronization
• Utilize CPU features for workload improvements
• Conduct performance profiling and characterization
• Collaborate with architecture and research teams

Requirements

• BS, MS, or PhD and 5+ years of relevant experience
• Strong C/C++ proficiency; Python familiarity is a plus
• Memory subsystem optimization expertise required
• Experience with distributed systems preferred
• Knowledge of compiler technologies and ML frameworks

Maximize the potential of AI applications by fine-tuning performance and collaborating on next-generation solutions.