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About US:- We turn customer challenges into growth opportunities. Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping…
Overview As a Principal Infrastructure Engineer, AI Cluster Performance & Validation, you will be a critical member of the AI Infrastructure Operations team, responsible for ensuring the acceptance, performance,…
Build and scale ML infrastructure for brain-computer interface research, including distributed training pipelines, data platforms, and cloud infrastructure to support neuroscientific modeling and neural decoding.
Research Engineer at Lightning AI to optimize AI training and inference workloads on PyTorch Lightning infrastructure, improving performance and scalability for production systems.
Build and optimize PyTorch-based training and post-training pipelines for large language models, improving model quality and training efficiency while collaborating with research and infrastructure teams.
Build and optimize LLM-based AI agents for VinFast's SLP Center in Hanoi — designing multi-agent orchestration, RAG pipelines, function calling, and evaluation frameworks, plus fine-tuning and inference optimization. Core stack: Python, LangChain/LangGraph, PyTorch, Hugging Face, vLLM, Docker, and cloud platforms.
VinFast is hiring a Foundation AI Engineer to research, pretrain, and post-train LLMs/SLMs powering its robot and virtual assistant products, including Vietnamese-language domain adaptation, RLHF/DPO alignment, distributed training on GPU clusters, and model distillation for on-device deployment.
Designs and deploys high-performance GPU clusters for AI workloads, owning the full architecture cycle from customer requirements to production deployment.
Senior MLOps Solutions Engineer on the Pure Solutions team who designs and automates end-to-end MLOps pipelines and GPU-accelerated AI/ML reference architectures, integrating Pure Storage platforms (FlashBlade, FlashArray, Portworx) with Kubeflow, MLflow, and Ray. Day to day: CI/CD-driven pipeline automation, Terraform/Ansible-based infrastructure, and optimizing LLM inference with tools like NVID
Product area The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency,…
When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people…
The Opportunity Adobe's AI and generative AI products, from Firefly to the intelligence built into Creative Cloud and Experience Cloud, run on a shared compute and inference platform. It's the infrastructure…
A Member of Technical Staff on the AI Training Platform builds and scales the infrastructure used to train, evaluate, and benchmark models — including multi-node distributed training, the proprietary training framework, and CUDA/Triton kernel optimization — to help researchers map neural networks onto the company's novel physics-based compute hardware.
Senior engineer building and scaling AI/ML infrastructure for ultra-realistic autonomous-driving simulations using multi-billion-parameter foundation models and distributed training.
Leads the design and scaling of AI/ML infrastructure for billion-parameter foundation models used in ultra-realistic autonomous-driving simulations, collaborating with research teams to improve simulation fidelity.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo…
The Senior Site Reliability Engineer will lead the design, architecture, and observability of Seekr's AI platform to ensure system reliability and performance. The role involves collaborating with engineering teams to manage hybrid cloud infrastructure, automate operational tasks, and handle incident response.
Research Engineer at Datadog’s AI lab in Paris builds and scales multimodal AI systems for cloud observability, training world models and autonomous agents using PyTorch, Ray, and GPU clusters.
Lead a 3-person ML team building LLM-powered dialogue systems for Social Discovery Group's social products — owning ML strategy tied to business metrics, running LLM post-training (SFT, LoRA, DPO), designing tool-using agent systems, and building evaluation layers, with ~10–20% hands-on Python work.
Build and operate a distributed multi-node GPU platform for large-scale AI model training and inference, ensuring performance and reliability using Kubernetes, Slurm, and NVIDIA stack technologies.
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