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Design and train novel deep learning models for 3D scene reconstruction, focusing on neural rendering and geometric anomaly detection using C++ and Python.
Designs, builds, and operates GPU clusters (on-prem and cloud) for AI/ML workloads, focusing on scheduling, scaling, cost optimization, and reliability in a Kubernetes-heavy DevOps environment.
Builds and runs large-scale LLM training systems in production, focusing on reinforcement learning, reasoning, code generation, and synthetic data pipelines using PyTorch, CUDA, and DeepSpeed.
Designs, deploys, and maintains a high-performance GPU cluster to support AI research, focusing on reliability, cost efficiency, and rapid iteration for physics-based models.
Principal Architect designs and owns the full system software stack for NVIDIA's orbital AI data centers, ensuring reliability in space environments while integrating firmware, OS, drivers, and AI tools like CUDA.
About Us 's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing — reshaping our future for the benefit of humanity. Our mission is to organize, optimize,…
Leads end-to-end deep learning projects for computer vision systems in transit and government, designing, training, and deploying models while mentoring engineers and shaping technical direction.
Designs and develops high-performance CUDA-based software for radar and signal processing systems, leveraging C++ and Linux in a DoD environment.
Designs and builds GPU-powered, cloud-native AI infrastructure and MLOps platforms on GCP/GKE, integrating NVIDIA acceleration and Vertex AI for scalable model training and deployment.
Design and optimize deep learning models for 3D perception in autonomous vehicles, fusing LiDAR, camera, and radar data to create real-time occupancy and segmentation maps for safe navigation.
Principal Firmware Engineer at Microsoft designs and leads validation frameworks for AI accelerator hardware and firmware, ensuring high-confidence silicon bring-up and performance optimization for Azure AI infrastructure.
Senior engineer builds and scales the infrastructure that runs large open-source language models, tuning servers and pipelines for speed and reliability.
Develops and integrates radar modeling and simulation software for airborne surveillance systems, interpreting results to improve performance for defense programs.
Senior engineer building core software for autonomous vehicles, including sensor drivers, data pipelines, and vehicle interfaces using C++, CUDA, and Linux.
Senior Solutions Architect at NVIDIA designs and optimizes high-performance computing solutions for Autonomous Vehicles and Robotics using NVIDIA's AI and GPU technologies.
Principal Software Engineer at NVIDIA designing and leading the development of a high-fidelity vehicle dynamics simulation framework for autonomous vehicles, using C++ and Python to model and validate complex driving maneuvers.
Designs and builds core software for autonomous vehicle fleets, including sensor interfaces, data processing, and real-time frameworks using C++, CUDA, and Linux.
We are looking for a Host and Systems Performance Manager to join NVIDIA’s Networking Performance team! In this role, you will lead a team of engineers who measure, analyze, and improve NIC, host, DOCA networking…
Designs and maintains Linux-based HPC clusters for semiconductor data processing, computational lithography, and AI workloads, using schedulers like SLURM and automation tools.
Salary Range: PLN 350,000 - 474,000 Subject to alignment to the responsibilities and duties of the role About Graphcore At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and…
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