Senior Deep Learning Engineer

We are currently seeking a Senior Deep Learning Software Engineer! NVIDIA is on the hunt for a Senior Deep Learning Engineer with a wide range of DL knowledge! As we rapidly expand our research and development in Deep Learning, we are looking for highly skilled Software Engineers at all levels of expertise to join our team. Companies globally are utilising NVIDIA GPUs to drive a revolution in deep learning, enabling breakthroughs in areas like Instant NeRF, LLM, ChatGPT, and GenerativeAI that has placed DL at the "iPhone moment" for AI. Be part of the team that works with game developers and researchers to build the future of gaming. Utilise internal and external research and methodologies to address significant challenges. Optimize and fine tune models for real-time game applications.

What you'll be doing:

• Develop DL-based solutions to difficult problems in our group and game development in various areas such as path tracing, image generation, model generation, trace analysis, animation, and more

• Perform optimization, analysis, and tune DL models to run on available resources.

• Work with cross-collaborative teams across the company to solve novel problems.

What we need to see:

• Masters or PhD or equivalent experience in a relevant field (Computer Engineering, Computer Science, EECS, AI).

• At least 8+ years of relevant software development experience.

• You'll need excellent C/C++ programming and software design skills. SW Agile skills are beneficial, and Python experience is a plus.

• Experience and interest in graphics rendering, particularly path tracing.

• Prior experience with performance modelling, profiling, debugging, and code optimization or architectural knowledge of CPU and GPU is a plus.

• GPU programming experience (CUDA or OpenCL) is a plus.

GPU deep learning has laid the foundation for machines to learn, perceive, reason, and solve problems using human language. The GPU initially functioned as the engine to simulate the human imagination, creating astounding virtual worlds for video games and Hollywood movies. Today, NVIDIA's GPU runs deep learning algorithms, mirrors human intelligence, and serves as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are intertwined, computer graphics and artificial intelligence converge in our architecture. This duality mirrors the two modes of the human brain and of the GPU. That's why NVIDIA GPUs are widely used in deep learning, and NVIDIA is increasingly recognized as "the AI computing company." Join our DL Architecture team to help create the real-time, cost-effective computing platform that is driving our success in this dynamic and rapidly expanding field.

The base range is $176,000 - $414,000 USD. Your base salary will be determined based on your location, experience, and the salaries of employees in similar positions. You will also be eligible for equity and . NVIDIA accepts applications on an ongoing basis.