Senior Software Engineer, AI and DL Kernel Libraries

🕒 March 12

🏄 California, Colorado, +2 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack 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

• Innovating and developing new AI systems technologies for efficient inference • Designing, implementing, and optimizing kernels for high impact AI workloads • Designing and implementing extensible abstractions for LLM serving engines • Building efficient just-in-time domain specific compilers and runtimes • Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries, kernels, and GPU arch teams • Contributing to open source communities like FlashInfer, vLLM, and SGLang

🎯 Requirements

• Masters degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); PhD are preferred • 6+ years (academic/ industry) experience with ML/DL systems development preferable • Strong experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc) and ideally inference engines and runtimes such as vLLM, SGLang, and MLC. • Strong Python and C/C++ programming skills • Strong experience in GPU kernel development and performance optimizations (especially using CUDA C/C++, cuTile, Triton, or similar)

🏖️ Benefits

• equity • benefits