Senior AI Performance and Efficiency Engineer at NVIDIA

You're a seasoned engineer with at least five years of experience building and managing large-scale compute infrastructure, holding a BS or equivalent in computer science, and a strong grasp of modern ML techniques. **What makes it worth a look...** NVIDIA is hiring for a fully remote Senior AI Performance and Efficiency Engineer role in the US, offering a strong annual salary range of $152,000 to $287,500, plus equity and benefits, to help researchers improve AI/ML performance on GPU clusters. **You might be a good fit if you...** * Have experience debugging and optimizing performance with NSight Systems and NSight Compute. * Possess debugging skills for large-scale distributed training using NCCL. * Are proficient in Python, Go, Bash, and familiar with cloud platforms like AWS, GCP, or Azure. * Have experience with parallel computing frameworks.