GPU Systems Engineer

Job Summary

Seeking a full-time GPU Systems Engineer (CUDA) to work remotely, who will design and optimize high-performance compute-intensive workloads on modern GPU hardware for AI training, scientific computing, and data processing.

Key Responsibilities

• Design and implement high-performance CUDA kernels for various workloads
• Profile and optimize GPU code using advanced profiling tools
• Collaborate with cross-functional teams to identify and resolve performance bottlenecks

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field
• Six or more years of experience in GPU programming and performance engineering
• Deep expertise in CUDA C/C++ and modern GPU architectures
• Hands-on experience profiling and optimizing GPU workloads in production
• Strong C++ skills and familiarity with systems programming practices