35 Nvidia Jobs - Page 2

Regional lead for AI Infrastructure Sales focused across industries and segments. Global role based in territory with international travel required. Be an integral part of the AI revolution. Oracle is experiencing unprecedented growth through delivering market-leading AI Infrastructure we are looking for exceptional individuals to join our team as we continue to scale the business. Qualifications 5+ years of Sales or relevant experience, preferably with 1-2 years in the AI Infrastructure space. Track record of selling complex solutions and an understanding of infrastructure deployments including lead times, margin analysis, and market demand. Technical depth is strongly preferred. Understand...

Graduate with 8+ years in product / solution management Product Manager / Offering Manager in Cloud, IaaS, HPC, or related high-tech domains. Hands-on understanding of technologies like NVIDIA GPU stacks, containerized HPC (Singularity, Docker), scheduling systems (SLURM, PBS), Lustre / GPFS Familiarity with as-a-Service constructs, subscription models, and TCO discussions. Product lifecycle management. Project and cross-functional stakeholder management Strong articulation, documentation, and influencing ability Able to interact across sales, delivery, product, and finance Suitable candidates may forward their updated profiles in strict confidence to hr33@hectorandstreak.com or call on 9699...

Role: DevOps Engineer Work Location: Thane, Maharashtra Total Experience: 5 + years Shift: 3 pm 12 am (Mon-Fri) Company Prole AMSYS Group We pride ourselves on 20+ Years of excellence based on the principles of integrity, Honor, and mutual gain. As future decisions are made, we are always keeping in mind the prosperity of the AMSYS Family. Amsys IT Services Pvt Ltd is part of this group, based in Mumbai. Website: http://www.amsysis.com Summary: Were seeking a DevOps engineer with VFX experience [80% DevOps, 20% ML/AI]. Key skills Requirements: 3+ years systems engineering NVidia drivers, system conguration ¢ Log server setup, data space allocation for datasets, checkpoints and logs ¢ 5+ year...

Designation - Sr. Consultant Experience in any two of the following programming languages: Python, Java, R, or .Net Proficiency in at least one database technology such as SQL, MongoDB, etc. Hands-on experience with AI stacks, including: PyTorch, TensorFlow, NVIDIA NeMo/NIM, Unsloth Agentic AI frameworks like LangGraph, MS AI Foundry Hugging Face, ChromaDB, FAISS, etc. Experience with MLOps and AI deployment infrastructure Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Knowledge of responsible AI practices, including bias mitigation and ethical AI usage

Role & responsibilities Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product/solution capabilities, and work closely with the engineering team in the development of data solutions Experience in combining multiple modalities and integrate them into a unified system capable of handling multiple types of data, including text, video inputs,and audio. Must have real time experience in large Green and Brown field AI and Computer Vision projects using NVIDIA, Intel Core or similar chipsets Strong foundation in statistics, mathematics, machine learning, and programming and model optimization from large dataset in smart cities or other smart i...

-Design, develop & debug embedded software for ARM, Intel & NVIDIA platforms -Develop & maintain DMA drivers & user-space application software for Linux & Windows -Develop real-time applications using RTOS & manage multi-threaded, pre-emptive systems Required Candidate profile Implement communication protocol (SPI, I2C, UART, TCP/IP / UDP) Create robust, maintainable C/C++ code Support system integration, bring-up activities Experience in MPSoCs & ARM Cortex-A/R/M processor

Designation - Sr. Consultant Experience in any two of the following programming languages: Python, Java, R, or .Net Proficiency in at least one database technology such as SQL, MongoDB, etc. Hands-on experience with AI stacks, including: PyTorch, TensorFlow, NVIDIA NeMo/NIM, Unsloth Agentic AI frameworks like LangGraph, MS AI Foundry Hugging Face, ChromaDB, FAISS, etc. Experience with MLOps and AI deployment infrastructure Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Knowledge of responsible AI practices, including bias mitigation and ethical AI usage

The Senior AI Scientist is a technical role responsible for driving the design, development, and deployment of advanced AI components, models and systems. With 7+ years of experience in artificial intelligence and machine learning, this role is focused on hands-on research, solution prototyping, and enterprise-grade implementation across foundational models, generative AI, and multi-modal applications. The individual is expected to contribute deep technical expertise, execute on complex AI initiatives, and mentor junior scientists. The ideal candidate combines a strong research background with architectural thinking, practical implementation experience, and the ability to collaborate across ...

We are looking for an innovative AI/ML Developer to join our team and contribute to building intelligent systems and data-driven products. The ideal candidate will have experience designing machine learning models, working with large datasets, and deploying algorithms into scalable production environments. You will collaborate with cross-functional teams to transform data into actionable insights and intelligent solutions that drive business impact. Key Responsibilities: Design and develop machine learning and deep learning models. Preprocess and analyze large datasets for feature engineering and model training. Train, validate, and fine-tune models using frameworks like TensorFlow, PyTorch,...

Kubernetes Platforms : Proficiency in container orchestration platforms , especially Red Hat OpenShift , SUSE Rancher , and CNCF Kubernetes . Experience with GPU-accelerated workloads and tools like NVIDIA GPU Operator and DCGM Proven ability to integrate Kubernetes with AI/ML workloads and GPU infrastructure in hybrid or private cloud environments. HPC Experience : Experience architecting HPC clusters, including GPU/compute nodes and HPC storage technologies (e.g., Lustre, WEKA, Parallel Filesystems). Understanding of high-speed networking (e.g., InfiniBand, Mellanox, RoCE) Experience with HPC cluster management tools such as HPE Cluster Management (HPCM) or NVIDIA Base Command Manager. Fam...