NVIDIA is seeking a Deep Learning Compiler & Tools Engineer to focus on performance validation, analysis, and tracking for advanced compiler technologies that accelerate AI workloads. This role involves collaboration with compiler developers, infrastructure providers, and hardware teams to ensure measurable and scalable performance improvements. The engineer will work at the intersection of deep learning compilers, GPU systems, and automation infrastructure. A passion for performance and systems is essential to drive real-world impact.

• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field.
• 5+ years of software engineering experience, including performance engineering, benchmarking, or systems optimization.
• Strong programming skills in Python, with C++ as a plus.
• Experience with CI/CD systems and automation frameworks.
• Familiarity with hardware-aware performance analysis, particularly with GPUs or accelerators.
• Experience working with deep learning frameworks such as PyTorch, TensorFlow, JAX, or TensorRT.
• Background in data analysis, profiling, and regression tracking.
• Ability to debug complex system-level issues across software and hardware layers.

• Design and develop performance testing frameworks for deep learning compilers and workloads.
• Build and maintain automated pipelines 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.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.