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Infrastructure engineer who owns the GPU compute layer for model training, evaluation, and serving — running Kubernetes clusters, improving GPU scheduling and node health, and managing cloud capacity. Core stack: Kubernetes, Linux, GPUs, Python, and cloud tooling (AWS, Terraform).
Position Summary Base-2 Solutions is seeking a mid-career Systems Engineer specializing in HPC and GPU infrastructure to design, develop, and optimize GPU clusters for Intelligence Community customers. This is a 100%…
Position Summary Base-2 Solutions is seeking a Platform Engineer to design, develop, and optimize Kubernetes platforms supporting enterprise artificial intelligence capabilities for mission customers. The role requires…
Position Summary Base-2 Solutions is seeking a Senior Systems Engineer - HPC & GPU Infrastructure to design, develop, and optimize high-performance computing and GPU clusters supporting Intelligence Community…
Position Summary Support enterprise AI mission systems by designing, developing, and optimizing GPU clusters, with deep focus on operating systems, hardware, GPU platforms, and high-speed networking in a secure…
Мы развиваем внутреннюю ML-платформу для команд Data Science и ML. Платформа обеспечивает полный цикл работы с ML: от интерактивных окружений для исследований до обучения моделей на GPU, версионирования данных и…
Формат: Офис, Москва Cтроим платформу для генетических исследований. Представьте: данные, с которыми вы работаете, помогают находить генетические причины онкологии, разрабатывать мРНК-вакцины и создавать тест-системы…
Join the HPC team to develop automated tools and validation frameworks that ensure GPU racks are ready for production. The role includes building NCCL performance benchmarks, GPU infrastructure and NVLink connectivity…
Location: Mooresville, NC (In-Office at Lake Norman Campus) Target Compensation: $85,000 – $135,000 OTE (On-Target Earnings = Base Salary + Quarterly Technical Comp + Annual Bonus) Work Authorization: U.S. Persons Only…
We are looking for a Lead or Senior Systems Engineer with HPC Administration expertise to help maintain high-performance computing environments while ensuring reliable system performance and operational support for…
We are looking for an experienced HPC Administration professional to take on a Lead or Senior Systems Engineer role, responsible for sustaining high-performance computing environments and ensuring consistent system…
We are seeking a Lead / Senior Systems Engineer specializing in HPC Administration to support and maintain high-performance computing environments, ensuring system reliability, performance, and smooth operational…
We are looking for a Lead / Senior Systems Engineer to handle HPC Administration tasks, keeping high-performance computing environments running smoothly, reliable, and well-supported for users. Responsibilities Resolve…
Build and run the distributed GPU infrastructure that trains and serves PhysicsX’s large AI models for engineering simulation, partnering with research scientists to optimize training pipelines and model deployment.
A pre-sales-facing principal engineer who architects and deploys large-scale GPU, HPC, and AI infrastructure on Oracle Cloud Infrastructure for strategic customers, from proof-of-concept through production. Day-to-day work centers on Terraform, Ansible, Kubernetes, Slurm, Python, and Linux automation, plus troubleshooting, incident response, and technical consulting.
Job Description: In this role you will be at the forefront of designing and implementing next-generation accelerated computing and AI solutions on Oracle Cloud Infrastructure (OCI). You will engage directly with…
Staff Product Manager at Crusoe owning product strategy and execution for fleet management systems that keep the GPU/CPU fleet running at scale — covering provisioning, burn-in, health monitoring, maintenance orchestration, and decommissioning. A cross-functional infrastructure role at the intersection of engineering, operations, and customer experience for Crusoe Cloud's AI workloads.
Designs and deploys AI infrastructure for training biological foundation models, managing GPU clusters, storage, and MLOps tooling to support drug discovery research.
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