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Support and optimize high-performance computing (HPC) systems for scientific and AI workloads, troubleshooting applications and collaborating with engineering to improve platform usability.
Develop high-performance C++ components for ArcGIS Pro's 3D analysis tools, focusing on spatial data structures, algorithms, and visualization for industries like urban planning and engineering.
Senior engineer building AI-powered indoor mapping and 3D reality systems using C++, C#, Python, and geospatial tech to automate indoor navigation and emergency response workflows.
Design and deploy edge AI and professional visualization solutions for NVIDIA’s enterprise customers using RTX PRO GPUs, DGX systems, and Jetson IGX.
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.
Develop and automate test plans for NVIDIA’s AI and GPU software, scripting tests in Python and analyzing failures to ensure product quality.
Host and Systems Performance Senior Manager Location: Israel, Yokneam Time Type: Full time Job Description We are looking for a Host and Systems Performance Manager to join NVIDIA’s Networking Performance team! In this…
Design and prototype GPU-accelerated AI solutions for power-grid modernization, forecasting, and resilience using NVIDIA’s stack (CUDA, RAPIDS, Modulus) and Python.
Build and optimize NVIDIA’s deep-learning inference stack (TensorRT, TensorRT-LLM) by profiling models, writing GPU kernels, and integrating OSS frameworks to maximize GenAI performance across datacenter and edge GPUs.
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.
Design and optimize AI systems for customers using NVIDIA’s GPU platforms and software libraries, advising on architecture and performance tuning.
Lead the design, deployment, and maintenance of large-scale AI/ML HPC clusters, ensuring reliability and performance for researchers using GPU-accelerated systems.
Build and optimize GPU-powered inference systems for large language models, improving serving efficiency and performance through kernel tuning and novel algorithms.
Design and deploy AI/ML solutions on cloud GPU platforms, collaborating with customers to integrate NVIDIA’s full stack of hardware and software technologies.
Architect resilient system software for NVIDIA’s orbital AI data centers, spanning firmware, OS, drivers, and CUDA to handle radiation, thermal cycles, and remote operations in low-Earth orbit.
Build high-performance 3D scientific visualization in the browser using TypeScript, WebGPU, and React, optimizing GPU rendering and data streaming for interactive datasets.
Senior backend engineer at Zibra AI building a high-performance data streaming service using Python, HTTP/3, QUIC, and object storage for large datasets.
Build a high-performance C++ service that streams large scientific datasets over HTTP/3 and QUIC, integrating with object storage and optimizing memory and throughput.
Build and maintain secure, scalable AWS and Kubernetes platforms for AI workloads, including LLM inference, while automating CI/CD and ensuring SOC 2/HITRUST compliance.
Develops and optimizes AI-driven perception systems for autonomous vehicles, combining camera, lidar, and radar data to detect, track, and classify objects in real-time for Level 4 self-driving tech.
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