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Build predictive models and AI solutions to optimize ferry operations, demand forecasting, and customer experience using Python, SQL, and cloud platforms.
Research and develop AI models for physical-world interaction, including robotics and reinforcement learning, to advance embodied intelligence systems.
Build realistic cloud-infrastructure scenarios for training and evaluating AI models, focusing on distributed systems, networking, and DevOps practices.
Design and deploy ML models for robotics, including perception, planning, and control systems using PyTorch/TensorFlow and ROS/ROS2.
Build and deploy production-grade ML systems for an AI data startup, designing LLMs, embeddings, and reinforcement learning environments from scratch.
Build and deploy AI-driven models and autonomous agents to optimize ad performance and monetization for publishers using large-scale data pipelines and modern ML frameworks.
Build and improve ML systems that power Macroscope’s AI features, focusing on evaluation datasets, experiments, and model training to enhance codebase insights.
Builds and maintains the data pipelines and infrastructure that power RoboForce's AI robotics models, handling everything from raw teleoperation data to post-training reinforcement learning loops.
Lead the engineering of the full embodied AI stack for industrial robots, integrating real-time inference, data collection, teleoperation, and reinforcement learning on physical hardware.
The role: Own the loop from raw robot experience to a model running on real hardware. Munari observes what robots see, sense, decide, and do. We want to use that data to detect abnormal behavior, understand failures,…
Design and implement AI-driven scheduling, optimization, and simulation models to improve semiconductor manufacturing performance across global fabs.
SR. Scheduling System Engineer Location: Taichung - Fab 16, Taiwan, Taoyuan - Fab 11, Taiwan Time Type: Full time Job Description Our vision is to transform how the world uses information to enrich life for all .…
Design AI-driven scheduling and simulation models to optimize semiconductor manufacturing workflows and improve global fab performance.
Research internship designing and testing reinforcement-learning methods to improve large language models' reasoning, alignment, and reliability using Python and PyTorch on GPU clusters.
Builds and deploys AI/ML models for Google Ads’ keywordless automation, optimizing ad relevance and targeting at massive scale.
Engage with China’s AI research and developer communities to evangelize NVIDIA’s GPU-accelerated AI tools, focusing on algorithms, datasets, and benchmarks for generative and agentic AI.
Build AI-driven tools to automate gameplay testing and validate NVIDIA GPUs using deep learning, reinforcement learning, and generative models.
System Engineer Simulation / Künstliche Intelligenz (KI) (d/f/m) Location: Immenstaad am Bodensee Time Type: Full time Job Description Job Description: Zur Verstärkung der Abteilung "Operationelle Analyse und…
Develop AI and operations-research models in C++/Python to simulate military systems, analyze data, and recommend design choices for defense projects.
Build and optimize CUDA features for AI frameworks like PyTorch and TRT-LLM, improving multi-GPU performance and distributed runtime for training and inference workloads.
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