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Performance Engineer optimizing deep learning and HPC frameworks on NVIDIA GPUs, automating benchmarks, and analyzing results for marketing and engineering teams.
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.
Designs power-efficient GPU architectures and models for NVIDIA’s datacenter products (e.g., DGX/HGX), optimizing performance-per-watt for AI/HPC workloads via ML-driven analysis and cross-team collaboration.
Develops and verifies firmware for next-gen NVIDIA NVLink GPU networking products using C++ and Python, collaborating with global teams to drive cutting-edge cloud/HPC/storage features.
Build and optimize AI networking frameworks and benchmarks for large-scale data centers and supercomputers, using Python, Linux, and modern AI tools.
Lead the design, deployment, and maintenance of large-scale AI/ML HPC clusters, ensuring reliability and performance for researchers using GPU-accelerated systems.
Designs and optimizes AI/ML and HPC solutions for banking clients using NVIDIA GPUs, TensorFlow/PyTorch, and cloud/on-prem deployments.
Senior Staff Network Automation Engineer Location: US, CA, Santa Clara Time Type: Full time Job Description NVIDIA redefines what’s possible. NVIDIA has been reinventing computer graphics, PC gaming, and accelerated…
Build and scale deep-learning infrastructure for autonomous-vehicle training on multi-thousand-GPU clusters, improving distributed training, data pipelines, and fault-resilient systems.
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.
Veuillez trouver la version française ci-dessous PLEASE NOTE: This is a global call for applications to fill multiple Analyst and Senior Analyst vacancies hosted across various IMPACT country offices in Latin America…
Design and maintain Linux-based infrastructure for high-performance computing, data pipelines, and research tools at a national energy lab.
Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is an exciting and prestigious research facility that plays a vital role in the study of the universe. NRAO operates a portfolio of…
About Bitdeer: Bitdeer is a world-leading technology company for Bitcoin mining and AI cloud. Bitdeer is committed to providing comprehensive Bitcoin mining solutions for its customers. Apart from designing…
Lead the evolution of CBRAIN, a Ruby on Rails-based platform for distributed high-performance computing, improving its architecture, user interfaces, and data-processing workflows for researchers.
Senior Kubernetes Engineer builds and scales a GPU-powered container platform for AI/ML and HPC workloads, integrating NVIDIA components and ensuring multi-tenant performance across hybrid environments.
A DevOps Engineer builds, automates, and maintains scalable cloud infrastructure (OpenStack, Kubernetes, Nomad) and CI/CD pipelines for a government intelligence project, ensuring high availability, security, and rapid deployment of mission-critical applications. Core tools include Terraform, Ansible, Python, and security tools like Trivy and Prometheus.
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