Machine Learning Engineer - Content Discovery
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Develop GPU-accelerated deep learning software including creating and maintaining SKILL and Wiki systems, building TileGym and Triton CUDA backends, and optimizing kernels through tile-based programming. You'll pursue performance optimization, analysis, and tuning. Must be pursuing an engineering or computer science degree (master's or doctoral candidate preferred) with excellent C/C++ skills, understanding of agentic systems, and GPU programming experience. Python, MLIR, and performance modeling experience are valued.
Written from this posting by Neural Jobs AI. The full description is below.
We are now looking for a Deep Learning Performance Software Engineering Intern!
We are expanding our research and development for deep learning. We seek excellent Software Engineers to join our team. We specialize in developing GPU-accelerated Deep learning software. Researchers around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in numerous areas. Join the team that builds software to enable new solutions. Your ability to work in a fast-paced customer-oriented team is required and excellent communication skills are necessary.
What you’ll be doing:
Creating and maintaining SKILL, Wiki, and agent harness
Develop TileGym, Triton CUDA TileIR backend and CUDA Tile
Develop highly optimized deep learning kernels through tile-based GPU programming model
End-to-end performance optimization through tile-based GPU programming model
Do performance optimization, analysis, and tuning
What we need to see:
Pursuing a degree from a university in an engineering or computer science related field. A masters or doctoral candidate is preferred.
Understands the core components of agentic systems, including LLM APIs, prompting, tool use/function calling, agent loops, planning, reasoning, memory, RAG, skills, MCP, sub-agents, multi-agent architectures, context engineering, and harness engineering.
Excellent C/C++ programming and software design skills
Python experience a plus
MLIR experience a plus
Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU
GPU programming experience (CUDA or OpenCL) desired
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!
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NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
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