GPU Systems Engineer

Job Summary

GPU Systems Engineer, a full-time remote position requiring over six years of experience 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 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 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 modern systems programming practices