GPU Systems Engineer

Job Summary

Seeking a full-time, remote GPU Systems Engineer (CUDA) with over six years of experience to design and optimize high-performance CUDA kernels for compute-intensive workloads, while 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 tools like Nsight Systems and CUDA profilers
• Collaborate with ML engineers to identify and resolve performance bottlenecks in training and inference pipelines

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