GPU Systems Engineer

Job Summary

GPU Systems Engineer, a full-time remote position requiring expertise in CUDA programming and GPU architecture to design and optimize compute-intensive workloads for AI and scientific computing.

Key Responsibilities

• Design and implement high-performance CUDA kernels for various workloads
• Profile and optimize GPU code using performance analysis 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 a related field
• Six or more years of experience in GPU programming and performance engineering
• Deep expertise in CUDA C/C++ and GPU programming models
• Strong understanding of modern GPU architectures and memory hierarchies
• Hands-on experience profiling and optimizing GPU workloads in production