José Oliveira
AI/DL Algorithm Director @ NVIDIA
About
I am currently spearheading some of the most thrilling large-scale distributed end-to-end AI (A1)/Deep Learning (DL) projects, covering everything from inception to production, including data management, training, tuning/customization, and deployment. My team's primary focus lies in AI/DL algorithm development, performance optimization, and ML-Ops automation. We collaborate with the entire ecosystem of AI engineering and research teams, encompassing architecture/performance, frameworks (PyTorch, JAX), libraries (CUDA, CuDNN, CuBlas, OpenAITriton, cuGraph, TRT, NCCL), and distributed infrastructure to advance the development of cutting-edge A/DL systems, software, libraries, and models for the Nvidia GPU community.
Italy
Castelleone
Computer Software
PHP, HTML5, JavaScript, Ingeniería
Experience

AI/DL Algorithm Director
Santa Clara County, California, United States
My team operates at the crossroads of deep learning algorithm development, computer architecture, and performance optimization to tackle real-world AI challenges. We focus on training and inference tasks related to generative AI, including Large Language Models (LLMs), Multimodal LLMs, and Reinforcement Learning with Human Feedback (RLHF), utilizing PyTorch and JAX.

Senior Engineering Manager, Perception
United States
We conduct application research and product development based on computer vision (2D/3D), machine learning, and deep learning., using low-level sensors (lidar, doppler lidar, imaging radar, camera, thermal imaging) for 3D scene understanding perception (detection, segmentation, tracking, positioning) and autonomous driving vehicle perception fusion

Senior Engineer
United States
We focus on application research and product development for mobile applications, leveraging deep learning, machine learning, and computer vision. Our work encompasses IoT, IP cameras, ADAS, continuous authentication, touch technology, and low-power always-on sensing.
José Oliveira's Contact Information
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