Senior Deep Learning Tools Engineer – CUDA Tile

About this role

NVIDIA is building advanced compiler technologies to accelerate AI workloads, and we are looking for an engineer focused on performance validation, analysis, and tracking. In this role, you will work at the intersection of deep learning compilers, GPU systems, and automation infrastructure, ensuring that performance improvements are measurable, scalable, and continuously validated over time. Do you want to help drive the performance of next-generation compilers? Are you excited by how GPU performance powers breakthroughs in deep learning, autonomous systems, and high-performance computing? We are seeking a talented Deep Learning Compiler & Tools Engineer focused on CUDA Tile (Performance & Infrastructure) to join our team

You will collaborate closely with compiler developers, infrastructure providers, and hardware teams to build systems that track, analyze, and improve performance across rapidly evolving AI workloads. If you're passionate about performance, systems, and building infrastructure that drives real-world impact, we want to hear from you. What You’ll Be Doing: Design and develop performance testing frameworks for deep learning compilers and workloads Build and maintain automated pipelines (CI/CD) to continuously track performance across models, hardware, and compiler changes Implement benchmarking systems to measure latency, throughput, and efficiency of AI and HPC workloads Analyze performance trends over time and identify regressions, bottlenecks, and optimization opportunities Partner with compiler and architecture teams to debug and resolve performance issues Develop tools and dashboards for performance visualization, reporting, and insights Enable scalable testing across diverse GPU systems and environments Improve infrastructure to ensure reliable, reproducible, and high-signal performance data What We Need to See: BS, MS, or PhD (or equivalent experience) in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related fi

Apply for this role on NVIDIA’s official careers site.