GPU Systems Engineer

Job Summary

Seeking a skilled GPU Systems Engineer (CUDA) for a full-time remote position, the candidate will design and optimize high-performance CUDA kernels for compute-intensive workloads, collaborating with cross-functional teams to enhance GPU performance for AI and scientific computing applications.

Key Responsibilities

• Design and implement high-performance CUDA kernels for AI and HPC workloads
• Profile and optimize GPU code using various profiling tools
• Collaborate with ML engineers 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