GPU Systems Engineer

Job Summary

Seeking a full-time GPU Systems Engineer (CUDA) to work remotely, who will design and optimize high-performance CUDA kernels for compute-intensive workloads, profile and enhance GPU code, and collaborate with cross-functional teams to deliver innovative solutions.

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 a 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 numerical methods and linear algebra