Senior Deep Learning Tools Engineer – CUDA Tile

🕒 May 6

🏄 California, Utah, +1 more states – Remote

🏄 California – Remote ⛷️ Utah – Remote ☕ Washington – Remote

💵 $152k - $241.5k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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

🎯 Requirements

• BS, MS, or PhD (or equivalent experience) in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related field • 5+ years of software engineering experience, including experience in performance engineering, benchmarking, or systems optimization • Strong programming skills in Python (C++ is a plus) • Experience with CI/CD systems and automation frameworks • Familiarity with hardware-aware performance analysis (GPUs, accelerators, or similar systems) • 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

🏖️ Benefits

• Competitive salaries • Comprehensive benefits package • Equity options