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Leads validation of AMD's HIP runtime, debugging failures, expanding automated tests, and improving CI quality for GPU programming APIs across Linux and Windows.
Role \: AIML Data Science Location\: Pan India Experience\: 6 to 15 Years Notice Period\: Immediate to 90 days Mode of Interview\: In Person Job Description\: 1. Be a hands on problem solver with consultative approach,…
NVIDIA is currently seeking a Solutions Architect Manager for Data Processing! Would you enjoy researching new algorithms and memory management techniques to accelerate data processing on modern computer architectures?…
The Software Engineer will develop and maintain real-time lab control applications and perform system analysis for defense-oriented projects. The role requires proficiency in C++, Python, and Linux, with a focus on implementing complex mathematical solutions and supporting CI/CD processes.
Designs and maintains GPU-powered AI compute clusters, high-speed networks, and storage for distributed ML workloads using Kubernetes, InfiniBand, and IaC tools.
AI Infrastructure Engineer managing multi-GPU compute clusters, high-performance networking/storage, and IaC automation for AI/ML workloads using Kubernetes, Slurm, Terraform, and NVIDIA GPU technologies.
Designs and maintains high-density GPU clusters for AI/ML workloads, focusing on compute, networking, storage, and automation to optimize distributed training performance.
Manage and optimize high-density multi-GPU compute clusters, high-performance networking/storage fabrics, and IaC automation pipelines for AI/ML distributed training workloads on Linux.
Architect and maintain multi-GPU compute clusters for AI/ML workloads, covering Kubernetes/Slurm orchestration, high-performance InfiniBand/RoCE networking, parallel storage, and IaC automation with Terraform/Ansible on Linux.
AI Infrastructure Engineer managing on-site multi-GPU compute clusters, high-performance networking/storage, and IaC automation to support distributed AI/ML training workloads in Singapore.
Develops agent systems for NVIDIA’s GPU fleet to collect health, telemetry, and attestation data across Linux hosts, bare metal, and Kubernetes nodes, contributing to open-source software for cloud-scale GPU infrastructure.
Leads AI agent development for NVIDIA’s local/hybrid AI capabilities across RTX platforms, coordinating engineering, research, security, and developer relations to define roadmaps, release criteria, and user experiences for private, efficient AI agents.
Artificial intelligence is moving from passive assistance to agents that can reason, use tools, and complete work on a person's device. NVIDIA is building the software foundation that helps developers and partners…
Develop and productionize AI products for semiconductor defect inspection—computer vision, multimodal AI, anomaly detection, and model optimization—using Python and deep learning frameworks in Santa Clara.
QA engineer responsible for comprehensively testing PCIe switch solutions—validating functionality, performance, and compliance across configurations—using Python-based test automation and deep PCIe protocol expertise (Gen3+).
Build an open-source developer tool in Go that integrates with Ubuntu, containers, and modern IDEs to streamline environment setup across domains like Robotics and MLOps.
The DL Performance Software Engineer will architect and optimize high-performance LLM inference systems, focusing on GPU kernel development and serving efficiency. The role involves working with frameworks like vLLM and PyTorch to advance AI serving infrastructure through research and production-grade software engineering.
Why the company? the company is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems…
We are seeking highly skilled and motivated software engineers to join us and build AI inference systems that serve large-scale models with extreme efficiency. You'll architect and implement high-performance…
Senior Research Engineer bridging experimental ML research and production systems, implementing and optimizing deep learning architectures in PyTorch to support AI-driven drug discovery and RNA biology at Deep Genomics.
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