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Overview Team Purpose The Artificial Intelligence (AI) Infrastructure Engineering Systems team at Microsoft builds the cloud platform, engineering infrastructure, and developer systems that enable teams to develop,…
Senior AI performance modeling architect at AMD (Austin, TX, on-site 5 days/week) who leads performance modeling and optimization of GPU architectures for multi-trillion-parameter LLM training and inference. Day to day: modeling parallelization strategies, memory-efficient training, and distributed ML systems using CUDA, PyTorch, Ray, and Megatron-LM.
Principal (PMTS) engineer owning end-to-end architecture, development, bring-up and optimization of the scale-up networking and GPU software stack for AMD Instinct GPUs — switch fabrics (SONiC/SAI, UALink/Ultra Ethernet), GPU firmware, Linux kernel drivers (amdgpu/KFD) and the ROCm stack — for rack-scale AI training and inference systems.
Apptronik is hiring a Principal Robotics ML Engineer in Austin, TX to own end-to-end learned manipulation for its Apollo humanoid robot — designing data engines, training CNN/transformer models in PyTorch, and deploying them on physical hardware. The role bridges research and production robotics software and mentors other engineers.
Senior architect at Credo's San Jose office designing system-level memory and interconnect architecture that links XPUs (NPU/GPU/custom silicon) across node, rack, and cluster scale so large LLM training and inference run efficiently. Requires computer-architecture depth; hands-on NPU silicon production experience strongly preferred. Base pay $160k-$220k plus bonus and equity.
Design and build scalable ML systems and pipelines for a massive media audience, deploying models and leading architecture decisions in an AI-first rebuild.
Who We Are You've ordered dinner through Just Eat Takeaway. You've bought and sold on OLX. You've paid with PayU. Chances are, you've already used a Prosus company today. We are Prosus, a global…
Owns the architecture and technical direction of AMD's large-scale HPC and AI infrastructure, designing CPU/GPU platforms across on-prem, public cloud, and specialized GPU providers. Day to day covers reference architecture, Slurm/Kubernetes workload placement, RDMA networking and parallel storage design, benchmarking, security, and mentoring engineers alongside SRE and research teams.
Senior ML Systems Engineer builds and maintains distributed AI training infrastructure for large-scale model training and reinforcement learning experiments using PyTorch, Megatron-LM, and DeepSpeed in Palo Alto.
Technical Product Manager building an AI cloud platform that supports training and inference at scale, focusing on GPU orchestration, reliability, and developer experience.
Principal Solutions Architect for Nebius’s AI cloud platform, owning presales and technical delivery for large-scale ML/AI workloads across the Middle East, engaging with enterprise and government customers.
Builds and deploys AI/ML prototypes on a cloud platform, supports enterprise customers through technical onboarding, and feeds insights into product development.
A 3-month paid internship at Nebius AI Cloud for students and early-career candidates: you'd help design and document AI/ML solutions for customers, learn how distributed training and inference run on large-scale multi-GPU infrastructure, and build demos, tutorials, and technical materials using Python and ML frameworks like PyTorch.
Мы развиваем GigaChat и ищем сильного ML-инженера. В команде есть три направления: decision models, эмбеддинги и поиск, AI Safety. Во всех направлениях планируем мультимодальность. Вы будете вести свои задачи от…
Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a…
Build and train ML models that power real-time quantitative trading systems, working with PyTorch/JAX and distributed compute platforms in a fast-paced finance setting.
Senior Engineer, IAM, Chennai NielsenIQ is looking for an individual who can join our Identity and Access Management (IAM) Program. We are evolving our enterprise Identity and Access ecosystem by embedding AI and…
We are seeking a Principal Machine Learning Engineer (SageMaker, MLOps, Model Governance & Explainability) to provide technical leadership across the full lifecycle of machine learning systems powering a new…
Join a team where your work directly shapes how machine learning is applied at scale across the firm. You’ll partner with product, engineering, and data teams to take ideas from experimentation through production,…
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